SEISMIC MACROZONATION OF PENINSULAR MALAYSIA...

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SEISMIC MACROZONATION OF PENINSULAR MALAYSIA AND MICROZONATION OF KUALA LUMPUR CITY CENTER AND PUTRAJAYA HENDRIYAWAN A thesis submitted in fulfilment of the requirements for the award of the degree of Doctor of Philosophy (Geotechnics) Faculty of Civil Engineering Universiti Teknologi Malaysia MARCH 2007

Transcript of SEISMIC MACROZONATION OF PENINSULAR MALAYSIA...

SEISMIC MACROZONATION OF PENINSULAR MALAYSIA

AND MICROZONATION OF

KUALA LUMPUR CITY CENTER AND PUTRAJAYA

HENDRIYAWAN

A thesis submitted in fulfilment of the

requirements for the award of the degree of

Doctor of Philosophy (Geotechnics)

Faculty of Civil Engineering

Universiti Teknologi Malaysia

MARCH 2007

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“Thou seest the mountains and thinkest them firmly fixed: but they pass like the passing of the clouds: (such is) the artistry of God, who disposes of all things in

perfect order: for He is well acquainted with all that ye do.” (The Noble Quran, An Naml:88)

Specially dedicated to:

To my beloved Mother, Father (alm), my Wife, Brothers, and Sister

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ACKNOWLEDGEMENTS

Praise to Allah Almighty, the Most Gracious and Most Merciful, Who has created mankind with wisdom and give them knowledge. May peace and blessings to Rasulullah Muhammad Shollallahu’ Alaihi Wassalam, all the prophets, his families, his close friends and all Muslims.

Firstly, I wish to express my deep sincere appreciation to my main thesis supervisor and advisor, Assoc. Prof. Dr. Azlan Adnan, for his gratitude, encouragement, friendly advice, earnest guidance, and motivation. He charmed me in both his energy and the eagerness to do the best work. I am also very thankful to my co-supervisors Assoc. Prof. Dr. Aminaton Marto and Assoc. Prof. Dr. Masyhur Irsyam for their advices, concern and impetus. Without continuous support and curiosity from my main supervisor and my co-supervisor, this thesis would not have been the same as presented here.

I am also indebted to UTM and Construction Industry Development Board (CIDB) Malaysia for funding my Ph.D. study under VOT number 73303. This support is gratefully acknowledged.

Secondly, I would like to thank the Dean, Head of Department, all lecturers and staff in the Faculty of Civil Engineering UTM for their support and providing me the facilities for my research. Special gratitude is addressed to Structural Earthquake Engineering Research Center (SEER) members i.e. En. Rosaidi, Jati Sunaryati, Suriana, Suhana, Sofia, Ilhami, Meldi and Rozaina. My sincere appreciation also extends to all my colleagues and others who have provided supports at various occasions especially Mr. Anis Saggaf and Mr. Deni Suwardhi.

I also would like to express my gratitude to Mark D. Petersen, David M. Boore, and Arthur Frankel from USGS for their helpful discussion and some data, Dr. Andrej Kijko and Prof. Bardet for their valuable software and papers, Prof. Cornel, Prof. Campbell, and Robin K McGuire for their valuable papers and monograph, respectively, Randall W. Jibson and Matthew W. Jibson for the time histories data and software, IKRAM especially Dr. Ch’ng Guan Bee and Tn. Hj Rahmat for their soil data, Dr. Saim Suratman (JMG) for his helpful discussion, and Malaysian Meteorological Department (MMD) for the earthquake data.

Last but not least, I want to express grateful thanks to my family; my mother, Allah Yarham my father, my mother and father-in-law, my wife: Fitri Hayati, my brothers and sister: Reza, Ferda, Yovita, and Bobby (brother-in-law), for their unlimited espousal on my study. Without their consistent supports and encouragement, it is impossible for me to finish my work.

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ABSTRACT

This thesis presents seismic hazard assessment (SHA) which covers macrozonation analysis for Peninsular Malaysia and microzonation analysis focused on Kuala Lumpur City Centre (KLCC) and Putrajaya. The SHA is needed for mitigation of the effects of large earthquakes that may occur in the future. KLCC and Putrajaya are the two major areas selected because these are the main business centres and administration centres of Malaysia, respectively; hence they have significant numbers of settlements, high rise buildings, monumental structures and other critical facilities. Therefore, the risks of these areas are relatively higher than other cities in Peninsular Malaysia. Generally, there are four steps involved in conducting the macrozonation study: (1) collecting and analyzing earthquake data; (2) developing and characterizing seismic source models; (3) developing and selecting appropriate attenuation relationships; and (4) calculating seismic hazard using total probability theory. The results from this study are macrozonation maps for Peninsular Malaysia, uniform hazard spectra at bedrock and synthetic time histories for KLCC and Putrajaya. The probabilistic seismic hazard assessment (PSHA) is performed for 10% and 2% probability of exceedance (PE) in design time period of 50 years or the corresponding to return period of approximately 500 and 2,500 years, respectively. The results show that the peak ground acceleration (PGA) across Peninsular Malaysia are in the range of 20-100 gals and 40-200 gals for 10% and 2% PE in 50-year hazard levels, respectively. The hazard levels show that the trend of contour increasing consistently from the northeast to the southwest of Peninsular Malaysia. Microzonation study is performed in order to obtain ground motion parameters such as acceleration, amplification factor and response spectra at the surface of KLCC and Putrajaya. The analyses are carried out by using nonlinear one dimensional shear wave propagation analysis approach. The results of site response analysis at several points were used to develop contour of acceleration and amplification factors at the surface of KLCC and Putrajaya for 500 and 2,500-years return periods. The results show that the accelerations at the surface of KLCC are in the range of 80-220 gals and 170-340 gals for 500 and 2,500 years return periods, respectively. The amplification factors for those two hazard levels range between 1.2 and 2.9. The accelerations at the surface of Putrajaya are in the range of 130-190 gals and 220-340 gals for 500 and 2,500 years return periods, respectively. The amplification factors for those two hazard levels range between 1.6 and 2.6. Finally, the design response spectra for structural design purposes are proposed based on this research.

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ABSTRAK

Tesis ini berkenaan pengiraan risiko sismik (SHA) yang meliputi analisis macrozonation untuk Semenanjung Malaysia dan analisis microzonation yang difokuskan untuk pusat bandar Kuala Lumpur (KLCC) dan Putrajaya. SHA diperlukan untuk mengurangkan risiko gempa bumi besar yang mungkin terjadi di masa akan datang. Dua kawasan utama KLCC dan Putrajaya dipilih kerana kedua kawasan ini masing-masing merupakan pusat perniagaan dan pentadbiran di Malaysia yang memiliki kawasan perumahan, bangunan-bangunan tinggi dan kemudahan awam dengan jumlah yang besar. Oleh kerana itu risiko sismik di kedua-dua kawasan tersebut melebihi kawasan-kawasan lain di Semenanjung Malaysia. Secara umum, kajian macrozonation terdiri dari empat langkah: (1) pengumpulan dan analisis data gempa bumi; (2) penghasilan dan pengiraan parameter-parameter model sismik ; (3) penghasilan dan pemilihan fungsi attenuation yang sesuai; dan (4) Pengiraan risiko sismik dengan menggunakan teori jumlah probabiliti. Hasil dari kajian ini adalah peta macrozonation untuk semenanjung Malaysia, uniform hazard spectra pada batuan dasar dan time histories untuk KLCC dan Putrajaya. Analisis dengan kaedah probabilistik dilakukan untuk 10% dan 2% kebarangkalian terlampaui untuk waktu reka bentuk 50 tahun atau bersesuaian masing-masing dengan tempoh ulang 500 dan 2,500 tahun. Hasil analisis menunjukkan nilai pecutan puncak di batuan dasar untuk Semenanjung Malaysia adalah antara 20-100 gals dan 40-200 gal untuk masing-masing 10% dan 2% kebarangkalian terlampaui untuk waktu reka bentuk 50 tahun. Aras risiko menunjukkan pola kontur yang meningkat dari bahagian timur laut ke arah barat daya Semenanjung Malaysia. Kajian microzonation dilakukan untuk mendapatkan parameter-parameter gerakan tanah seperti pecutan, faktor penguatan dan tindak balas spektra di permukaan KLCC dan Putrajaya. Analisis dilaksanakan dengan menggunakan analisis perambatan gelombang satu dimensi dengan pendekatan tak linear. Hasil dari analisis tindak balas tanah di beberapa lokasi digunakan untuk menghasilkan kontur pecutan dan faktor penguatan di permukaan KLCC dan Putrajaya untuk tempoh ulang 500 dan 2,500 tahun. Hasil analisis menunjukkan pecutan di permukaan KLCC adalah antara 80-220 gals dan 170-340 gals untuk masing-masing tempoh ulang 500 dan 2,500 tahun. Faktor penguatan untuk aras risiko tersebut adalah antara 1.2-2.9. Pecutan di permukaan Putrajaya adalah antara 130-190 gals dan 220-340 gals untuk masing-masing tempoh ulang 500 dan 2,500 tahun. Faktor penguatan untuk aras risiko tersebut adalah antara 1.6 dan 2.6. Akhirnya, berdasarkan kajian ini, bentuk tindak balas spektra dihasilkan untuk tujuan reka bentuk struktur bangunan.

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TABLE OF CONTENTS

CHAPTER TITLE PAGE TITLE i

DECLARATION ii

DEDICATION iii

ACKNOWLEDGEMENTS iv

ABSTRACT v

ABSTRAK vi

TABLE OF CONTENTS vii

LIST OF TABLES xi

LIST OF FIGURES xiii

LIST OF SYMBOLS/ABBREVIATIONS xxii

LIST OF PUBLICATIONS xxiv

LIST OF APPENDICES xxvi

1 INTRODUCTION 1

1.1 General 1

1.2 Background 4

1.3 Problem Statement 7

1.4 Objectives 8

1.5 Scope and Limitations 9

1.6 Methodology 10

1.6.1 External Data 10

1.6.2 The Analyses 13

1.6.2.1 Earthquake Data Analysis 13

1.6.2.2 Seismic Source Modeling 14

1.6.2.3 Macrozonation Analysis 15

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1.6.2.4 Ground Response Analysis 16

1.6.2.5 Response Spectra Analysis 17

1.7 Organization of Thesis 17

2 LITERATURE REVIEW 20

2.1 Introduction 20

2.2 Plate Tectonic 20

2.3 The Approach for Seismic Hazard Analysis (SHA) 24

2.4 Local Site Effects 32

2.5 Site Classification 36

2.6 Design Response Spectrum 43

2.6.1 Design Response Spectrum of 1997 UBC 44

2.6.2 Design Response Spectrum of 1997 NEHRP 47

2.7 Previous Research on Earthquake Engineering In Malaysia 51

2.8 Seismotectonic Setting of Peninsular Malaysia 57

2.8.1 Tectonic Setting of Peninsular Malaysia 57

2.8.2 Historical Tremor in Peninsular Malaysia 61

2.9 Summary and Discussion 64

3 EARTHQUAKE DATA AND SEISMIC SOURCE ZONES 66

3.1 Introduction 66

3.2 Earthquake Catalog 66

3.3 Earthquake Size 68

3.3.1 Earthquake Intensity 69

3.3.2 Earthquake Magnitude 71

3.4 Main and Accessory Shock Events 79

3.5 Catalog Completeness 82

3.6 Seismic Sources Model 87

3.6.1 Source Geometry 90

3.6.2 Sumatra Subduction Zone (SSZ) 92

3.6.3 Sumatra Fault Zones (SFZ) 94

3.7 Characterization Seismic Sources 95

3.7.1 a-b Parameters and Recurrence Rate 95

3.7.1.1 Weichert (1980) 98

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3.7.1.2 Kijko & Sellevoll (1989, 1992) 98

3.7.1.3 a-b value for Peninsular Malaysia 99

3.7.2 Maximum Credible Magnitude 101

3.7.2.1 Deterministic Method 101

3.7.2.2 Statistical Method 102

3.7.2.3 Maximum Credible Earthquake Magnitude for

Sumatra Subduction Zone and Sumatra

Fault Zone 103

3.8 Summary and Discussion 106

4 ATTENUATION RELATIONSHIP 109

4.1. Introduction 109

4.2. Development of the Attenuation Relationship 110

4.3 Attenuation Function for Peninsular Malaysia 114

4.3.1 Attenuation Relationships for Subduction Mechanisms 115

4.3.2 Attenuation Relationships for Shallow Crustal Mechanism 124

4.4 Summary and Discussion 127

5 SEISMIC HAZARD ASSESSMENT 129

5.1 Introduction 129

5.2 Probabilistic Seismic Hazard Assessment (PSHA) 129

5.2.1 Logic Tree 136

5.2.2 Result of Analyses 137

5.2.3 Uniform Hazard Spectra (UHS) for Bedrock 144

5.2.4 Deaggregation Analysis 145

5.3 Time Histories Analyses 149

5.3.1 Development of Artificial Time Histories 149

5.3.2 Modifying the Existing Time Histories 152

5.3.3 Time Histories for Kuala Lumpur and Putrajaya 153

5.4 Summary and Discussion 157

6 MICROZONATION STUDY 161

6.1 Introduction 161

6.2 Ground Response Analysis 161

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6.2.1 Soil Modeling 163

6.2.2 One Dimensional Shear Wave Propagation Analyses 169

6.3 Dynamic Soil Properties 171

6.3.1 Correlations of Gmax with Undrained Shear Strength 172

6.3.2 Correlations of Gmax and VS with N-values from SPT 173

6.3.3 Shear Wave Velocities from Seismic Test 175

6.4 Microzonation Study for Kuala Lumpur and Putrajaya 179

6.4.1 Geologic Setting of Kuala Lumpur and Putrajaya 179

6.4.2 Site Classification Analysis 181

6.4.3 Results of Shear Wave Propagation Analysis 189

6.4.4 Design Response Spectra for Kuala Lumpur and Putrajaya 217

6.5 Summary and Discussion 227

7 CONCLUSIONS AND RECOMMENDATIONS 230

7.1 Conclusions 230

7.1.1 Macrozonation Study 230

7.1.2 Microzonation Study 234

7.2 Recommendations 236

REFERENCES 238

Appendices A-B 261-270

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LIST OF TABLES

TABLE NO TITLE PAGE

2.1 Strengths and limitations of Deterministic Seismic Hazard

Assessment and Probabilistic Seismic Hazard Assessment

(USACE, 1999) 28

2.2 Examples of uncertainties in seismic hazard assessment

(McGuire, 2004) 31

2.3. Soil profile types and site factors in 1994 UBC 38

2.4. Site categories in new seismic codes (after 1994), including

approximate correspondence with 1994 UBC (Dobry et al., 2000) 39

2.5. Classification of subsoil classes in Eurocode 8 (2002) 39

2.6. Geotechnical Site Categories (Bray and Rodriguez-Marek, 1997) 42

2.7. Seismic coefficient, Ca (1997 UBC) 45

2.8. Seismic coefficient, CV (1997 UBC) 45

2.9. Near-source factor for short periods, Na (1997 UBC) 45

2.10. Near-source factor for long periods, NV (1997 UBC) 46

2.11. Seismic source type (1997 UBC) 46

2.12. Values of Site Coefficient Fa as a Function of Site Class and Mapped

Spectral Response Acceleration at Short Periods, SS (1997 NEHRP) 48

2.13. Values of Site Coefficient FV as a Function of Site Class

and Mapped Spectral Response Acceleration at 1 second Periods,

S1(1997 NEHRP) 48

3.1 Magnitude scales (McGuire, 2004) 72

3.2 Number of earthquakes recording in each decade grouped in three

magnitude ranges 84

3.3. Rate and β value for Peninsular Malaysia 100

3.4 Some relations between earthquake magnitude

and fault rupture length 102

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3.5 Maximum Credible Earthquake Magnitude for Sumatra Subduction

Zone 104

3.6 Maximum Credible Earthquake Magnitude for Sumatra Fault Zone 105

3.7 Summary of Maximum Credible Earthquake Magnitude 105

4.1 Selected strong motion data from worldwide earthquake 118

4.2 Comparisons of standard deviations (σlnY)

from several attenuation relationships 123

4.3 List of Malaysian Meteorological Department stations 123

4.4 The list of earthquakes with distance more than 400 km

(Gibson, 2003) 126

4.5 Comparison of Attenuation Relations with Observed Data 126

5.1 Empirical relationships between MW and Surface Rupture Length, L

(km) (Wells and Coppersmith, 1994) 134

5.2 PGA for Kuala Lumpur and Putrajaya 138

5.3 PGA (in gal) for several cities in Peninsular Malaysia 141

5.4 Ratio between the PGA for the 2% and the 10% PE in 50 years 141

5.5 Coefficients for tb and tc (Irsyam, 2001) 152

5.6 Selected Time Histories 154

6.1 Correlations between Gmax and undrained shear strength

(Barros, 1994) 172

6.2 Correlations between Gmax or VS and NSPT (after Jafari et al., 2002) 173

6.3 Geologic formations in the Kuala Lumpur area (after Yin, 1976) 179

6.4 Location of new field tests 182

6.5 Soil classification for new soil data in KLCC and Putrajaya 186

6.6 Soil classification of KLCC 188

6.7 Soil classification of Putrajaya 188

6.8 Results of 1-D analyses for KLCC 191

6.9 Amplification factor for KLCC 192

6.10 Results of 1-D analyses for Putrajaya 204

6.11 Amplification factor for Putrajaya 205

6.12 Modified amplification factors for 1997 UBC 223

6.13 Modified amplification factors for 2000 IBC 223

6.14 Summary of ground response analyses 228

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LIST OF FIGURES

FIGURE NO TITLE PAGE 1.1 Steps in the mitigation of earthquake risk (McGuire, 2004). 3

1.2 Methodology of research. 11

1.3 Implementation of the methodology in the organization of thesis. 18

2.1 The major tectonic plate in the world (after Kramer, 1996) 21

2.2 Interrelationship among spreading ridge, subduction zone, and

transform fault plate boundaries (Kramer, 1996). 21

2.3 Illustration of several types of fault movement 23

2.4 Dominance of deterministic and probabilistic (McGuire, 2001a) 29

2.5 Approximate relationship between peak accelerations on rock

and other local soil conditions (after Idriss, 1990, 1991). 33

2.6 Average normalized response spectra (5% damping) for

different local site conditions (after Seed et al., 1976) 35

2.7 Average spectra recorded during 1989 Loma Prieta earthquake

(Dobry et al., 2000) 35

2.8 Spectral shapes proposed by ATC 3 (1978) 37

2.9 Comparison of soil classification based on shear wave velocity 40

2.10 UBC 1997 design response spectrum 44

2.11 Treatment of dipping faults (Lew, 2001) 47

2.12 2000 IBC design response spectrum 49

2.13 Typical hazard curves in WUS and CEUS (BSSC, 1998) 50

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2.14 Effect on the probability level of multiplying the spectral

acceleration by 2/3 (BSSC, 1998) 51

2.15 Maximum observed earthquake intensity in Peninsular Malaysia

from 1805 to 1983 (from Malaysian Meteorological Service, 1994) 52

2.16 Maximum observed earthquake intensity in Sabah and Sarawak

(1884–1983) (from Malaysian Meteorological Service, 1994) 53

2.17 Seismotectonic map of West Malaysia (JPKM, 1994) 53

2.18 Seismotectonic map of East Malaysia (JPKM, 1994) 54

2.19 Seismic hazard map in Continental Asia (Zhang, et al., 1999) 55

2.20 Seismic hazard map around Northern Sumatra prepared by

USGS-NEIC (2003) 55

2.21 Peak Ground Acceleration (PGA) contour based on deterministic

method (Adnan et al., 2002) 56

2.22 Seismotectonic units of Malaysia (JPKM, 1994) 57

2.23 Tectonic setting around Peninsular Malaysia

(Huchon and Le Pichon, 1984) 58

2.24 Neotectonic Sumatra (After Rivera et al., 2002) 59

2.25 Cross-sections of seismicity, Sumatra subduction zone

(Engdahl et al., 1998). 60

2.26 Slight tremor in Penang due to earthquake on 22 January 2003 63

2.27 Cracks on one apartment in Gelang Patah, Johor Bahru

after earthquake on 25 July 2004 64

3.1 Historical earthquakes (Mw > 5.0) around Malaysia from

1897-2004 68

3.2 Comparison of intensities values from MMI, RF, JMA and MSK

scales (Kramer, 1996) 70

3.3 Approximate relationships between Mw and other magnitude scales

(Boore and Joyner, 1982) 75

3.4 The comparison formula to convert between mb and Mw 78

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3.5 The comparison formula to convert between MS and Mw 79

3.6 Criteria of time and distance windows to identify dependent events 82

3.7 Reported earthquakes in each decade grouped (1900-1961) 84

3.8 Reported earthquakes in each decade grouped (1961-2004) 85

3.9 The result of catalog completeness analysis (time vs. rate) 86

3.10 The result of catalog completeness analysis (time vs. variance) 86

3.11 Source zone geometry 88

3.12 Main window of SHAP 90

3.13 Seismic Source zones around Peninsular Malaysia 91

3.14 Hypocentral profiles 92

3.15 Source zones for interface (Megathrust) earthquake events 93

3.16 Source zones for intraslab (benioff) earthquake events 93

3.17 Source zones for shallow crustal earthquake events in Sumatra Fault

Zone 94

3.18 Chart of G-R relationship 96

3.19 Illustration of data that are provided in earthquake catalogs

(Kijko and Sellevoll, 1989) 97

3.20 Chart of seismic hazard parameters for Sumatra Subduction Zone 106

3.21 Chart of seismic hazard parameters for Sumatra Fault Zone 106

4.1 Source to site distance measures for attenuation models

(Abrahamson and Shedlock, 1997) 114

4.2 Plot of residual error against Mw 120

4.3 Plot of residual error against epicenters 120

4.4 Plot of residual error against focal depths 120

4.5 The comparison results between the new attenuation relationship

and other functions for interval magnitude 5.0 < Mw < 7.0 122

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4.6 The comparison results between the new attenuation relationship

and other functions for interval magnitude Mw > 7.0 122

4.7 Ground motion prediction based on earthquake

26th December 2004 124

4.8 The summary for attenuation functions 127

5.1 The basic elements of Probabilistic Seismic Hazard Assessment 130

5.2 Illustration of conditional probability of exceeding a

particular value of a ground motion parameter (Kramer, 1996) 131

5.3 Examples of variations of source to site distance for

different source zone geometries (Kramer, 1996) 133

5.4 Geometric notation for Equation (5.4) 134

5.5 Relationship between RA/TR and RN for different design

time periods 135

5.6 Simple logic tree for incorporation of model uncertainty. 137

5.7 Macrozonation map at 10% PE in 50 years on rock site

conditions for the Peninsular Malaysia (TR=500year). 139

5.8 Macrozonation map at 2% PE in 50 years on rock site conditions

for the Peninsular Malaysia (TR=2500year). 140

5.9 Contribution to the PGA hazard in Kuala Lumpur and Putrajaya. 142

5.10 Contribution from each sub source zone to the mean annual rate of

exceedance in Kuala Lumpur and Putrajaya. 143

5.11 Contribution from each sub source to the PGA hazard in

Kuala Lumpur and Putrajaya. 143

5.12 Uniform hazard spectra at bedrock of Kuala Lumpur and Putrajaya 145

5.13 Hazard contribution by magnitude and distance (for TR=500 year) 147

5.14 The relative contribution to the PGA hazard as a function of

magnitude and distance at a site in Kuala Lumpur and

Putrajaya at TR=500 year 147

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5.15 Hazard contribution by magnitude and distance

(for TR=2500 year) 147

5.16 The relative contribution to the PGA hazard as a function of

magnitude and distance at a site in Kuala Lumpur and Putrajaya

at TR=2500 year 148

5.17 Envelope intensity function (Irsyam, 2001) 151

5.18 Time histories of Synth-1 (Mw7.8; R325 km) 154

5.19 Spectral matching result for Synth-1 (Mw7.8; R325 km) 155

5.20 Time histories of Synth-4 (Mw8.3; R520 km) 155

5.21 Spectral matching result for Synth-4 (Mw8.3; R560 km) 155

5.22 Time histories of Synth-2 (Mw8.0; R520 km) 156

5.23 Spectral Acceleration of Synth-2 (Mw8.0; R520 km) 156

5.24 Time histories of Synth-3 (Mw9.3; R775 km) 156

5.25 Spectral Acceleration of Synth-3 (Mw9.3; R775 km) 157

6.1 Refraction process that produces nearly vertical wave propagation

near the ground surface (Kramer, 1996) 162

6.2 Schematic representation of IM model (Bardet and Tobita, 2001) 165

6.3 Backbone curve (left) during loading and hysteretic

stress-strain loop (right) of IM model (Bardet and Tobita, 2001) 166

6.4 Areas Ai, Ii, and Ji used for calculation of hysteretic loop of IM

model during loading-unloading cycle (Bardet and Tobita, 2001) 167

6.5 G/Gmax- γ curve (Seed and Sun, 1989) and damping ratio

(Idriss 1990) for clay soil 169

6.6 1-D shear wave propagation modeling (Bardet and Tobita, 2001) 170

6.7 Terminology used in site response analysis, and shear

wave amplitude at various locations (Bardet and Tobita, 2001) 171

6.8 Comparison Gmax vs. NSPT 173

6.9 Comparison shear wave velocities vs. NSPT 174

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6.10 Schematic diagram of down-hole test 176

6.11 Seismic down-hole test 177

6.12 Control box and geophone 178

6.13 Seismograph & control box 178

6.14 Application of seismic down-hole test in KL city center 178

6.15 Bedrock geology of Kuala Lumpur (JPKM, 1993) 180

6.16 Diagrammatic sections along cross section AA’ and BB’

(JPKM, 1993) 180

6.17 Bedrock geology of Putrajaya (JPKM, 1976) 181

6.18 Jl. Duta-Kuala Lumpur\KL-1 182

6.19 SK. Sentul Utama-Kuala Lumpur\KL-2 183

6.20 Jl. U Thant- Kuala Lumpur\KL-3 183

6.21 Jl. Pasar- Kuala Lumpur\KL-4 183

6.22 Presint 14-Putrajaya/PJ-1 184

6.23 Presint 2-Putrajaya/PJ-2 184

6.24 Presint 12-Putrajaya/PJ-3 185

6.25 Presint 10-Putrajaya/PJ-4 185

6.26 Soil dynamic properties for KLCC 187

6.27 Soil dynamic properties for Putrajaya 187

6.28 Distribution of acceleration through soil profile 189

6.29 Sensitivity of VS to acceleration at surface 190

6.30 Sensitivity of VS to response spectra at surface 190

6.31 1-D analysis using time histories for 500 years return period 192

6.32 1-D analysis using time histories for 2500 years return period 193

6.33 Contour of acceleration at surface in g of KLCC using synth-1

(TR=500 years, PGA=0.073 g) 194

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6.34 Contour of acceleration at surface in g of KLCC using synth-2

(TR=500 years, PGA=0.073 g) 195

6.35 Contour of acceleration at surface in g of KLCC using synth-3

(TR=2500 years, PGA=0.149 g) 196

6.36 Contour of acceleration at surface in g of KLCC using synth-4

(TR=2500 years, PGA=0.149 g) 197

6.37 Contour of amplification factor of KLCC using synth-1

(TR=500 years, PGA=0.073 g) 198

6.38 Contour of amplification factor of KLCC using synth-2

(TR=500 years, PGA=0.073 g) 199

6.39 Contour of amplification factor of KLCC using synth-3

(TR=2500 years, PGA=0.149 g) 200

6.40 Contour of amplification factor of KLCC using synth-4

(TR=2500 years, PGA=0.149 g) 201

6.41 Response spectra at surface of KLCC (TR = 500 yr; soil class SC) 202

6.42 Response spectra at surface of KLCC (TR = 500 yr; soil class SD) 202

6.43 Response spectra at surface of KLCC (TR = 500 yr; soil class SE) 202

6.44 Response spectra at surface of KLCC (TR = 2500 yr, soil class SC) 203

6.45 Response spectra at surface of KLCC (TR = 2500 yr, soil class SD) 203

6.46 Response spectra at surface of KLCC (TR = 2500 yr, soil class SE) 203

6.47 1-D analysis using time histories for 500 years return period 205

6.48 1-D analysis using time histories for 2500 years return period 206

6.49 Contour of acceleration at surface in g of Putrajaya using synth-1

(TR=500 years, PGA=0.073 g) 207

6.50 Contour of acceleration at surface in g of Putrajaya using synth-2

(TR=500 years, PGA=0.073 g) 208

6.51 Contour of acceleration at surface in g of Putrajaya using synth-3

(TR=2500 years, PGA=0.149 g) 209

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6.52 Contour of acceleration at surface in g of Putrajaya using synth-4

(TR=2500 years, PGA=0.149 g) 210

6.53 Contour of amplification factor of Putrajaya using synth-1

(TR=500 years, PGA=0.073 g) 211

6.54 Contour of amplification factor of Putrajaya using synth-2

(TR=500 years, PGA=0.073 g) 212

6.55 Contour of amplification factor of Putrajaya using synth-3

(TR=2500 years, PGA=0.149 g) 213

6.56 Contour of amplification factor of Putrajaya using synth-4

(TR=2500 years, PGA=0.149 g) 214

6.57 Response spectra at surface for 500 years return period

(soil class SD) 215

6.58 Response spectra at surface for 500 years return period

(soil class SE) 215

6.59 Response spectra at surface for 2500 years return period

(soil class SD) 216

6.60 Response spectra at surface for 2500 years return period

(soil class SE) 216

6.61 Comparison response spectra of KLCC and Putrajaya

for 500 years return period (Site Class SD) 217

6.62 Comparison response spectra of KLCC and Putrajaya

for 2500 years return period (Site Class SD) 217

6.63 Comparison response spectra of KLCC and Putrajaya

for 500 years return period (Site Class SE) 218

6.64 Comparison response spectra of KLCC and Putrajaya

for 2500 years return period (Site Class SE) 218

6.65 Comparison design response spectra for 500 years return period

using 1997 UBC and 2000 IBC (soil type SC) 219

6.66 Comparison design response spectra for 2500 years return period

using 1997 UBC and 2000 IBC (soil type SC) 219

xxi

6.67 Comparison design response spectra for 500 years return period

using 1997 UBC and 2000 IBC (soil type SD) 219

6.68 Comparison design response spectra for 2500 years return period

using 1997 UBC and 2000 IBC (soil type SD) 220

6.69 Comparison design response spectra for 500 years return period

using 1997 UBC and 2000 IBC (soil type SE) 220

6.70 Comparison design response spectra for 2500 years return period

using 1997 UBC and 2000 IBC (soil type SE) 220

6.71 Recommended design response spectra (TR=500, soil type SC) 221

6.72 Recommended design response spectra (TR=2500, soil type SC) 221

6.73 Recommended design response spectra (TR=500, soil type SD) 222

6.74 Recommended design response spectra (TR=2500, soil type SD) 222

6.75 Recommended design response spectra (TR=500, soil type SE) 222

6.76 Recommended design response spectra (TR=2500, soil type SE) 223

6.77 Newmark-Hall design spectra (Newmark and Hall, 1973) 224

6.78 Tripartite plot of design response spectrum (TR=500, soil type SC) 224

6.79 Tripartite plot of design response spectrum (TR=2500,soil type SC) 225

6.80 Tripartite plot of design response spectrum (TR=500, soil type SD) 225

6.81 Tripartite plot of design response spectrum (TR=2500,soil type SD) 226

6.82 Tripartite plot of design response spectrum (TR=500, soil type SE) 226

6.83 Tripartite plot of design response spectrum (TR=2500,soil type SE) 227

6.84 Design response spectra from modified 1997 UBC 229

6.85 Design response spectra from modified 2000 IBC 229

xxii

LIST OF SYMBOLS/ABBREVIATIONS

Ca - Seismic coefficient for short period

Cv - Seismic coefficient for long period

DSHA - Deterministic Seismic Hazard Assessment

Fa - Spectral amplification factor for short period (0.2 second)

Fv - Spectral amplification factor for long period (1.0 second)

G - Shear modulus

Gmax - Maximum shear modulus

g - Gravity = 9.81 m/s2

gal - cm/sec2

ML - Richter local magnitude

Mo - Seismic moment

MS - Surface wave magnitude

MW - Moment magnitude

MCE - Maximum credible earthquake

mb - Body wave magnitude

mmax - Minimum magnitude

mmin - Maximum magnitude

PE - Probability of exceedance

chN - The average standard penetration resistance for cohesionless soil

layers

PGA - Peak Ground Acceleration (at Bedrock)

PSA - Peak Surface Acceleration

PSHA - Probabilistic Seismic Hazard Assessment

Ra - Mean annual total frequency of exceedance

Rn - Probability of exceedance during N year

r - Coefficient of Correlation

xxiii

r2 - Multiple coefficient of determination

ra2 - Adjusted multiple coefficient of determination

Sa - Spectral acceleration

Sd - Spectral displacement

SFZ - Sumatra Fault Zone

SHA - Seismic Hazard Assessment

SSZ - Sumatra Subduction Zone

su - Undrained shear strength

Sv - Spectral Velocity

Tn - Natural period

TR - Return Period

VS - Shear wave velocity

VS-30 - The mean shear wave velocity of the top 30 m

Z - Seismic zone factor

βs - Damping factor

σ - Standard deviation

λ - Rate of earthquake occurrence

ρ - Mass density

ω - Angular frequency = 2πf

xxiv

LIST OF PUBLICATIONS

1. Azlan Adnan, Hendriyawan, Masyhur Irsyam, Donald Wells. (2003). Effects of

11-2-02 Northern Sumatra Earthquake in Indonesia and Malaysia. EERI

Newsletter. February, Volume 37, No. 2.

2. Azlan Adnan, Hendriyawan, Masyhur Irsyam. (2003). The Effect of The Latest

Sumatra Earthquake to Malaysian Peninsular. Journal FKA, Universiti Teknologi

Malaysia. February.

3. Azlan Adnan, Aminaton Marto, and Hendriyawan. (2003). The Effect of

Sumatra Earthquakes To Peninsular Malaysia. Proceeding Asia Pacific

Structural Engineering Conference. Johor Bahru, 26– 28 August, Malaysia.

4. Hendriyawan, Azlan Adnan, and Aminaton Marto. (2004). An Overview of

Seismic Hazard Study in Malaysia. Seminar Penyelidikan Kejuruteraan Awam

(SEPKA), Universiti Teknologi Malaysia, 1-2 September.

5. Azlan Adnan, Aminaton Marto, Hendriyawan. (2004). Lesson Learned From

The Effect Of Recent Far Field Sumatra Earthquakes To Peninsular Malaysia.

13th World Conference on Earthquake Engineering. Vancouver, B.C., Canada

August 1-6.

6. Azlan Adnan, Hendriyawan, Aminaton Marto, and Masyhur Irsyam. (2005).

Seismic Hazard Assessment for Peninsular Malaysia using Gumbel Distribution

Method. Jurnal Teknologi. 42(B) Jun. 2005: 57-73. Universiti Teknologi

Malaysia.

7. Hendriyawan, Azlan Adnan, Aminaton Marto, Masyhur Irsyam. (2005). The

Development Of Software For Seismic Hazard Study. Seminar Penyelidikan

Kejuruteraan Awam (SEPKA), Universiti Teknologi Malaysia, 5-6 July.

xxv

8. Azlan Adnan, Hendriyawan, Aminaton Marto, and Masyhur Irsyam. (2005).

Selection and Development of Appropriate Attenuation Relationship for

Peninsular Malaysia. Proceeding Malaysian Science and Technology Congress

2005. Mid Valley, Kuala Lumpur.

9. Azlan Adnan, Hendriyawan, Aminaton Marto, and Masyhur Irsyam. (2006).

Development of Attenuation Relationship for Far Field Earthquakes Caused by

Dip Slip Mechanism for the Application of Sumatran Earthquake Effects to the

Peninsular Malaysia. Proceeding of 2006 SSA Annual Meeting. 18-21 April.

10. Azlan Adnan, Hendriyawan, Aminaton Marto, and Masyhur Irsyam. (2006).

Development of Seismic Hazard Map for Peninsular Malaysia. Proceeding on

Malaysian Science and Technology Congress. PWTC Kuala Lumpur, Malaysia.

18-26 September.

11. Azlan Adnan, Hendriyawan, Aminaton Marto, and Masyhur Irsyam. (2006).

Development of Synthetic Time Histories at Bedrock for Kuala Lumpur.

Proceeding on Asia Pacific Structural Engineering and Construction

Conference. Kuala Lumpur, Malaysia. 5-6 September.

xxvi

LIST OF APPENDICES

APPENDIX TITLE PAGE

A Seismic Hazard Assessment Program (SHAP) 261

B Field Documentations 267

CHAPTER 1

INTRODUCTION

1.1 General

Earthquake is one of the most devastating natural disasters on the earth.

Generally, the effects of strong earthquakes are caused by ground shaking, surface

faulting, liquefaction, and less commonly, by tsunamis. Ground shaking is a term

used to describe the vibration of the ground during an earthquake caused by body

and surface seismic waves. Surface faulting is caused by differential movement of

the two sides of a fracture at the Earth's surface. Liquefaction is a physical process

that takes place during some earthquakes that may lead to ground failure. In this

phenomenon, the strength of the soil decreases, often drastically, to the point where it

is unable to support structures or remain stable. At this stage, the soil deposits will

appear to flow as fluids. Tsunamis are water waves that are caused by sudden

vertical movement of a large area of the sea floor during an undersea earthquake. As

tsunamis reach shallow water around islands or on a continental shelf; the height of

the waves could increase many times.

Although it is impossible to prevent earthquakes from happening, it is

possible to mitigate the effects of strong earthquake shaking and to reduce loss of

life, injuries and damages. The most effective way to reduce disasters caused by

earthquakes is to estimate the seismic hazard and to disseminate this information for

2

used in improved building design and construction so that the structures posses

adequate earthquake resistant capacity (Hu, 1996).

Earthquake engineering can be defined as the branch of engineering devoted

to mitigating earthquake hazards. Earthquake engineering deals with the effects of

earthquakes on people and their environment and with methods of reducing those

effects. In this broad sense, earthquake engineering covers the investigation and

solution of the problems created by damaging earthquakes, and consequently the

works involved in the practical application of these solutions, i.e. in planning,

designing, constructing and managing earthquake-resistant structures and facilities.

It has become customary in earthquake engineering and related areas to

distinguish between seismic hazard and seismic risk, although the semantics of both

words is the same. Seismic hazard is used to describe severity of ground motion at a

site regardless of the consequences, while the definition of seismic risk is based also

on the consequences (Todorovska et al., 1995; Gupta, 2002). High hazard does not

automatically imply high risk and vice versa. The hazard may be high at a site close

to an active fault, whereas the risk may not be high if there is no settlement and

industrial facility. Along the same line, the seismic risk is large at the site of critical

facilities, such as a dam or a nuclear power plant, even if the location is not so close

to active faults and there is not much evidence of historic earthquake activities.

Both seismic hazards and seismic risks analyses are required to develop the

elements that can be used to make rational decisions on seismic safety (McGuire,

2004). McGuire (2004) shows the connection between seismic hazard and seismic

risk (Figure 1.1). He divided the methodology for evaluating the effects of future

earthquakes (and the uncertainty about those effects) on people and structures into

four steps. First is probabilistic seismic hazard analysis (PSHA), which gives a

probabilistic description (a frequency of exceedance) of earthquake characteristics

such as ground motion amplitudes and fault displacements. Second is the estimation

of earthquake damage to the artificial and perhaps the natural structures. Third is the

translation of seismic hazards into seismic risks (frequency of damage or loss).

Fourth is the formal analysis or the informal analysis of earthquake mitigation

decisions. The decision process should incorporate uncertainties in the earthquake

3

process and ground motion characteristic, uncertainties in the effects of the

earthquakes on people and structures, costs of seismic safety and potential losses,

and aversion to risk.

Figure 1.1: Steps in the mitigation of earthquake risk (McGuire, 2004).

According to Figure 1.1, the seismic hazard assessment using probabilistic

method is the first step that should be done by engineers or researchers in the

mitigation of earthquake risks. Clear and well documented assessments of seismic

hazard are the first and fundamental step in the mitigation process (Abrahamson and

Shedlock, 1997). This step is critical because it involves so many factors and

uncertainties to be considered. It should be noted that the method of seismic hazard

assessment, which was applied in a certain region, may not be necessarily employed

in other regions since an individual region has its own characteristics. Therefore, it

would be necessary to perform seismic hazard analysis for each region and to

develop seismic design code suitable with the characteristics on that particular region

rather than just adopt the existing code from other regions.

Generally, seismic code used to design dynamic load for civil structures such

as buildings, retaining walls, dams, bridges and other structures are based on

compilation of earthquake engineering multidisciplinary field, i.e. seismology,

4

geology, geotechnical and structural engineering. The design parameter is typically

acceleration, velocity or spectral acceleration with a specified probability of

exceedance. These parameters are mapped on a national or a regional scale for a

standard ground condition, usually rock or stiff soil. Mapping to such a scale is

called macrozonation (Finn et al., 2004).

Geotechnical factors often exert a major influence on damage patterns and

loss of life in earthquake events. For example, the localized patterns of heavy

damage during the 1985 Mexico City and 1989 Loma Prieta earthquakes provide

illustrations of the importance of understanding the seismic response of deep clay

deposits and saturated sand deposits (Bray et al., 1994).

The pronounced influence of local soil condition on the characteristics of the

observed earthquake ground motions also can be seen during 1957 San Francisco

Earthquake (Seed et al., 1991). Even within an area of a city, building response and

damage are varied significantly due to variation of soil profiles in that particular city

(Seed et al., 1991). In other countries, several attempts have been made to identify

their effects on earthquake hazards related to geotechnical factors in the form of

maps or inventories. Mapping of seismic hazard at local scales to incorporate the

effects of local geotechnical factors is called microzonation (Finn et al., 2004).

Microzonation for seismic hazard has many uses as mentioned by Finn et al.

(2004). It can provide input for seismic design, land use management, and

estimation of the potential for liquefaction and landslides. It also provides the basis

for estimating and mapping the potential damage to buildings.

1.2 Background

Although Malaysia is located in the stable Sunda Shelf with low to moderate

seismic activity level, it is surrounded by Indonesia and Philippine, which are close

to active seismic faults. The fact that Malaysia has not experienced any major

5

earthquake disasters should not be used as an argument to dismiss the need for taking

any pro-active steps to look into the earthquake threat.

In recent years, Malaysia is more aware to the seismic effect on their

buildings because the tremors were repeatedly felt over the centuries from the

earthquake events around Malaysia (SEASEE, 1985). Peninsular Malaysia has felt

tremors several times from some of the large earthquakes originating from the

intersection areas of Eurasian plate and Indo-Australian plate near Sumatra, and

some of the moderate to large earthquakes originating from the Great Sumatran fault.

For instance, the earthquakes occurred on 2 November 2002 has caused cracks on

some buildings in Penang, although the location of the epicentre is more than 500 km

away from Penang. The moment magnitude and the depth of this earthquake are 7.4

and 33 km below the surface, respectively. Another earthquake having magnitude,

Mw7.3 occurred on 25 July 2004 in South Sumatra. Although the location of the

epicentre and the depth of the earthquake are more than 400 km from Johor Bahru

and 576 km below surface, respectively; the earthquake has caused cracks on one

apartment building in Gelang Patah, Johor Bahru. There were no casualties or major

damages reported due to those earthquakes, however, the tremors have caused panic

to the people around that particular area.

East Malaysia has experienced small to moderate earthquakes from local

origin and tremors originating from the southern part of the intersection area of

Eurasian and Philippines plates as listed by Surat (2001) and Rosaidi (2001). The

1976 earthquake of magnitude 5.8 in Lahad Datu caused some houses and buildings

to develop cracks in the walls. A four storey police complex nearing completion

suffered severe structural damage. Several roads in the district were reported to have

cracked too, causing damage. Similarly, the 1991 Ranau earthquake of magnitude

5.2 on Richter scale caused extensive damages to a four-storey teacher’s quarters and

were verified unfit for occupancy. The earthquake of magnitude 4.8 that occurred on

2 May 2004 near Miri, Sarawak likewise caused some damages to the non-reinforced

concrete buildings and developed cracks on the ground (Bernama, 2004).

The frequent occurrence of tremors within the country and nearby region

seems to suggest that seismic risk in Malaysia is evident. The question now is the

6

level of risk and its regional variation and whether it is necessary to consider seismic

factors in the planning and design of structures and/or infrastructures. These

questions have so far remained unanswered due to a lack of understanding of

seismicity and inadequate seismic data in Malaysia. Hence, the level of seismic risk

in Malaysia is still barely known. It is not known if such risk should be considered

in future design of structures and/or infrastructures. This is further compounded by

the fact that Malaysia is rapidly developing and major installations and high-rise

structures are being constructed at a rapid pace. These structures, especially those in

the west coast of Peninsular Malaysia, may be susceptible to long period of ground

motions originating from distant earthquakes.

Based on the above facts, the earthquake engineering research is urgently

required in order to predict the possibility of earthquakes in the future that can cause

damages to the buildings and structures in Malaysia and to find the solutions for

mitigating the effects. The engineers have a responsibility to quantify the earthquake

risks in Malaysia quantitatively and find the optimal solutions to deal with those

effects.

The research works regarding earthquake engineering in Malaysia are

relatively behind compared to other engineering fields. This is because the historical

earthquake event in Malaysia especially in Peninsular Malaysia is not so profound.

Moreover, the nearest distance of earthquake epicentre from Peninsular Malaysia is

about 300-400 km. Generally, the earthquakes can cause significant damages within

100-200 km radius from the fault or epicentre. At farther distance, amplitudes of

incoming seismic shear waves are generally small (Lee, 1987), however, the “Bowl

of Jelly” phenomenon, as what had happened to Mexico City in 1985 should be

considered more seriously. The phenomena have shown that an earthquake can have

a significant effect although at longer distance due to the long period component of

shear waves.

In the case of the 1985 Mexican earthquake, the greatest concentration of

damages occurred in the Lake Zone of Mexico City at which the location is

approximately 400 km from the epicentre. Distant fault together with soft soil

amplified the vibration from the source to the ground surface at the site. This effect

7

becomes more dangerous for high-rise building or structures, which have

fundamental periods close to that of the soil. Therefore, seismic hazard assessment

accommodates geotechnical considerations such as geological, seismological and

local soil conditions are required in order to anticipate the catastrophic effects due to

potential large earthquakes in the future.

This research is proposed to apply seismic hazard assessment for Malaysia.

In light of the previous discussion, it can be concluded that geotechnical

considerations play an integral role in the development of accurate safety against

earthquake hazards and sound earthquake resistance designs. The considerations that

shall be included in the research to obtain accurate safety against earthquake hazards

are geological and seismological conditions, attenuation of earthquake wave

propagation in base rock, specific acceleration time histories, and local soil

conditions. Hence, in order to cover the above considerations comprehensively, this

research focuses on Peninsular Malaysia for macrozonation analysis while Kuala

Lumpur City Centre (KLCC) and Putrajaya are two major areas selected for

microzonation analyses. These two major areas are selected because they have

significant numbers of settlements, high rise buildings, monumental structures and

other critical facilities. Moreover, since Kuala Lumpur and Putrajaya are the main

centres for business and administration in Malaysia, respectively, therefore the

seismic risks are relatively higher than other cities in Peninsular Malaysia. They

have a lot of population, investments and assets that should be protected against

earthquake hazard.

1.3 Problem Statement

Seismic hazard assessment for Peninsular Malaysia is needed in order to

mitigate the effects of large earthquake that may happen in the future. The seismic

hazard assessment should consider the seismology and geology of Peninsular

Malaysia as well as the local site conditions. This is because all these conditions are

8

related to each other so as to develop a reliable seismic code for designing dynamic

loads for civil structures.

1.4 Objectives

There are three (3) primary objectives in this research. The objectives are:

1. To develop macrozonation maps as a function of return period using the

probabilistic method for Peninsular Malaysia. The analysis considered

the geological and seismological conditions around Peninsular Malaysia.

2. To develop microzonation maps of KLCC and Putrajaya. The

microzonation maps cover iso-acceleration and iso-amplification factor

contours on the surface of KLCC and Putrajaya.

3. To propose designed response spectra for structural design purposes on

KLCC and Putrajaya. In this study, the procedures proposed by 1997

UBC and 1997 NEHRP (or 2000 IBC) were used as references for

developing a design spectrum for a particular site category in KLCC and

Putrajaya.

The research works regarding the effects of distant earthquakes are not as

many as short distance (less than 200 km). This can be seen in the number of papers

presented in international journals or conferences on earthquake engineering.

Therefore, it is expected that the research will also contribute to the enhancement of

earthquake geotechnical engineering knowledge and improvement in seismic

resistance building design especially for countries that are affected by distant

earthquakes such as Peninsular Malaysia.

In addition, a software for preparing seismic hazard assessment has also been

developed for supporting the research. At this moment the software has the

capabilities as follows: 1) to show visually the location of epicentre, 2) to make a

cross section for plotting the depth of earthquake events, 3) to collect earthquake data

9

from some region, 4) to analyze catalogue completeness, 5) to separate main shock

and accessory shock events, 6) to analyze the peak ground acceleration (PGA) at a

particular location deterministically, and 7) to assess seismic hazard probabilistically

using extreme value method from Gumbel.

1.5 Scope and Limitations

There are many parameters that may have effects on the results of analysis;

therefore the analysis is limited to the following parameters:

1. Data collection and preparation.

a. Compiling the reliable earthquake catalogues.

b. Obtaining homogeneous magnitude size.

c. Separating between main shock and dependent shock earthquake

events.

d. Analyzing of earthquake catalogue completeness.

e. Performing soil investigations including static and seismic tests on

selected locations in KLCC and Putrajaya.

2. Macrozonation Study.

a. Developing reliable seismic source models for Peninsular Malaysia.

b. Characterizing seismic source models. The analysis is restricted only

to find the a-b value, the rate and the maximum magnitude of the

seismic source models.

c. Developing and selecting appropriate attenuation functions for

Peninsular Malaysia.

d. Developing macrozonation maps of Peninsular Malaysia for 10% and

2% probability of exceedance (PE) in 50 years or correspond to 500

and 2500 year return periods of earthquake, respectively.

10

e. Developing uniform hazard spectra (UHS) for KLCC and Putrajaya.

f. Generating artificial time-histories for KLCC and Putrajaya.

3. Microzonation study.

a. Analyzing soil dynamic properties on selected locations in KLCC and

Putrajaya.

b. Analyzing one dimensional shear wave propagation analysis on

selected locations in KLCC and Putrajaya.

c. Developing maps of iso-acceleration and iso-amplification factors on

the ground surface of KLCC and Putrajaya.

d. Proposed design response spectra of KLCC and Putrajaya for

structural design purposes.

1.6 Methodology

The research design of this thesis is shown in Figures 1.2. In the figures, the

symbols I, O, and P stand for input, output and process of the analysis, respectively,

while the arrows show the flows of input required by the process and the output as a

result of the analysis.

1.6.1 External Data

As shown in Figure 1.2, there are three external input data required in the

analysis: the historical earthquake data and the seismotectonic data for

macrozonation study and the soil data for microzonation study (ground response and

response spectra analyses).

11

Figu

re 1

.2: M

etho

dolo

gy o

f res

earc

h.

12

The following works were performed in order to obtain external inputs for the

macrozonation study:

1. Collect historical earthquake data from national and international

institutions. The earthquake data required in the analysis are the

magnitude, location of epicentre (longitude and latitude), focal depth, and

date of the earthquake (year, month, and day).

2. Study literature on the previous research works regarding the seismology

and geology conditions in order to identify the location, the length, the

rate of displacement, the direction, and the mechanism of active faults

around Peninsular Malaysia.

In this thesis, the collection of earthquake data and the identification of

seismology condition around Peninsular Malaysia are discussed in more detailed in

Chapter 3.

The microzonation study requires soil data such as soil stratigraphy, ground

water level and soil dynamic properties. The measurement of soil dynamic

properties from field tests can be performed on the ground surface (surface tests) or

by drilling boreholes or by the advancement of probe into the soil. Surface tests are

often less expensive and can be performed relatively quickly. On the other hand,

borehole tests have the advantage of gaining the information directly from the

boring: visual and laboratory-determined soil characteristics, and water table

location. Moreover, the interpretation of borehole tests is usually more direct than

surface tests. Alternatively, the soil data may also be obtained from static field test

to find static soil parameters such as NSPT or other soil strength parameters. The

static soil parameters are then converted to soil dynamic parameters using empirical

correlations.

In this research, the following works were performed in order to obtain

external inputs for microzonation study:

1. Conduct the standard soil investigations and seismic tests in KLCC and

Putrajaya.

13

2. Compile the existing soil data on selected points in KLCC and Putrajaya.

In this research, the seismic down-hole tests were performed in order to

measure dynamic soil properties in KLCC and Putrajaya. The procedure for seismic

down-hole test is described in more detail in Chapter 6.

1.6.2 The Analyses

Generally, there are five main processes performed in this research as shown

in Figure 1.2: earthquake data analysis, seismic source model analysis,

macrozonation analysis, ground response analysis, and response spectra analysis.

1.6.2.1 Earthquake Data Analysis

In this study, the historical earthquake data were compiled from several

catalogues from local and International Institutions. Typical characteristics of

earthquake catalogues are as follows:

1. The magnitude scales used in the catalogues are not uniform. This is

because the earthquake events were not recorded using only one type of

instrument.

2. The earthquake catalogues are mixed between main shock and accessory

shock events. Therefore, the data is not valid when the temporal

occurrence of earthquakes is analyzed using Poisson model.

3. The small events are usually incomplete in earthquake catalogue. This is

because of the limitation of the sensitivity and the coverage area of the

seismographic networks.

The first problem is solved by choosing a consistent magnitude for SHA, and

then the other magnitude scales are converted to this magnitude scale. In this

research, a moment magnitude, Mw, is chosen as the measurement to quantify the

14

size of earthquake. Other types of magnitude in the catalogue were then converted to

Mw. Several formulas have been proposed to convert from other magnitudes to

moment magnitude. In this study, the new formulas for converting MS and mb to Mw

and ML to mb were developed. The statistical analyses were carried out to test the

reliability of the formulas.

The second problem is solved by declustering the catalogue using time and

distance windows criteria (e.g. Gardner and Knopoff, 1974; Uhrhammer, 1986).

Some previous research works were analyzed and selected in this thesis in order to

separate the main shock and the accessory shock events (foreshock and aftershock).

The third problem is solved by catalogue completeness analysis. In this

study, historical earthquake data occurred between 1900 and 2004 were analyzed for

completeness using Stepp (1973) method. The completeness analysis is applied only

for main shock earthquake events.

The procedures for process earthquake data are described in more detail in

Chapter 3. The output of this process is a reliable earthquake data.

1.6.2.2 Seismic Source Modelling

Seismic source models were developed in this study. Generally, there are

four steps were performed in this study for developing the new seismic source model

for Peninsular Malaysia. The four steps are as follows:

1. Locating the source.

2. Assessing the source dimensions.

3. Assessing the source orientation.

4. Representing the source.

Steps 1 to 3 were performed based on the distribution of historical earthquake

data and seismotectonic setting around Peninsular Malaysia. The source orientations

15

have considered not only the strike angles of the source but also the dip angles as

well.

Step 4 was conducted by assessing and evaluating seismic hazard parameters

for all source zones. The seismic hazard parameters are represented by frequency-

magnitude relationship (i.e. a-b values and maximum magnitude). Several methods

were considered in determining seismic hazard parameters in order to cover

epistemic uncertainties. Three methods for assessing seismic hazard parameters

were used in this research; i.e., Least Square (LS), Weichert (1980), and Kijko &

Sellevoll (1989).

The procedure for developing seismic source model is described and

discussed in more detail in Chapter 3. The outputs of this process are the seismic

source zone models including the geometries and the seismic hazard parameters.

These outputs are required for macrozonation analysis.

1.6.2.3 Macrozonation Analysis

Macrozonation analysis is performed in order to obtain characteristics of

ground motion at base rock such as maximum acceleration and targeted response

spectra for certain return periods of earthquake. In this study, the seismic hazard

assessment (SHA) is performed using probabilistic approach for the following

reasons:

1. The probabilistic seismic hazard assessment (PSHA) approach is more

appropriate to be used for highly quantitative decisions such as

development of seismic design code, regional mitigation plans, and

insurance.

2. The probabilistic approach is convenient for comparing risks in various

parts of a country and for comparing the earthquake risk with other

natural and man-made hazards (e.g. floods, wind, and landslide).

3. The probabilistic approach opens the possibility for risk-benefit analyses

and respective design motions (Gupta, 2002). The motivation for such a

design principle is that, at the time of construction or strengthening, if it is

16

invested in strength beyond that required just to prevent collapse (e.g., by

codes), the monetary losses during future likely earthquakes may be

reduced significantly.

The analysis includes as follows:

1. Develop and select appropriate attenuation functions for Peninsular

Malaysia. This analysis is described in more detail in Chapter 4.

2. Perform probabilistic seismic hazard analysis (PSHA), which gives a

probabilistic description (a frequency of exceedance) of earthquake

characteristics such as ground motion amplitudes.

3. Develop uniform hazard spectra at bedrock for KLCC and Putrajaya.

4. Perform time histories analysis to generate artificial time histories for

KLCC and Putrajaya. The time histories were generated so as to match

the uniform hazard spectra given in PSHA. This data is required for shear

wave propagation analysis in microzonation study.

Chapter 5 are discussed more detail the procedures for PSHA and time

histories analysis. The outputs of this process are macrozonation maps for

Peninsular Malaysia and time histories at bedrock of KLCC and Putrajaya. These

outputs are required for ground response analysis.

1.6.2.4 Ground Response Analysis

This study is performed in order to obtain ground motion parameters such as

acceleration, amplification factor and response spectra at the surface. Analysis

covers as follows:

1. Analysis of soil dynamic parameters on the selected points to obtain shear

modulus (G), damping ratio (D), and shear wave velocity (VS).

2. Determination of site categories for selected locations in KLCC and

Putrajaya.

17

3. Analysis of shear wave propagation from base rock to ground surface for

each selected points to obtain peak surface acceleration, amplification

factor, and response spectra at the surface. In this analysis, local soil

dynamic properties and several alternative input motions were considered.

4. Development of iso-acceleration and iso amplification factor contours on

KLCC and Putrajaya.

The site categories proposed by the recent codes of UBC or 2000 IBC are

used for classifying the selected site locations in KLCC and Putrajaya. The

determination of site category is based on the average shear wave velocity, VS to a

depth of 30 m. The ground response analyses were performed using nonlinear

approach. These analyses are discussed in Chapter 6.

1.6.2.5 Response Spectra Analysis

The response spectra analysis was performed in order to develop design

response spectra for structural design purposes. In this step, the response spectra at

the surface (from the ground response analysis) were analyzed and compared to the

response spectra proposed by the existing codes such as 1997 UBC and 2000 IBC.

The process is described in more detail in Chapter 6. The output of this process is a

smooth or a design spectrum for a particular site category in KLCC and Putrajaya.

1.7 Organization of Thesis

The methodology of the research as discussed in the preceding section is

implemented into seven chapters. The connection between the methodology and

each chapter is shown in Figure 1.3. The second column in the figure shows the

content for each chapter and the last column on the right side points up the output

from the related chapter. The dashed lines show input-output relations among the

chapters.

18

Figure 1.3: Implementation of the methodology in the organization of thesis.

The content of each chapter can be described briefly as follows:

Chapter 1 Introduction. This chapter describes the background of the

research, the objectives to be achieved, the research scopes, the

methodology, and the structure of the thesis.

Chapter 2 Literature Review. This chapter reviews and evaluates the

topics which are related to earthquake engineering. In this chapter,

several methodologies for seismic hazard assessment including the effects

of local soil conditions are discussed briefly. Literature study regarding

historical earthquake and seismotectonic setting around Peninsular

Malaysia are also discussed in this chapter.

19

Chapter 3 Earthquake Data and Seismic Source Zones. In this chapter,

earthquake data around Peninsular Malaysia are collected and processed

so as to obtain reliable data for seismic hazard assessment in Chapter 5.

Seismic source model and the seismic hazard parameters are also

developed and analyzed in this chapter.

Chapter 4 Development and Selection Attenuation Functions.

Attenuation function is one of the most critical point in seismic hazard

assessment. Hence, this topic requires detailed analysis and discussion.

This chapter reviews and evaluates the appropriate attenuation functions

for Peninsular Malaysia. In this chapter, the proper attenuation functions

are developed and selected. The result is then applied in Chapter 5.

Chapter 5 Seismic Hazard Analysis. This chapter analyzes seismic

hazard for Peninsular Malaysia using total probability theory. Seismic

hazard parameters and attenuation functions from Chapter 4 are applied in

probability seismic hazard analysis (PSHA) to develop peak ground

acceleration (PGA) map for Peninsular Malaysia. Time histories analysis

is also discussed in this chapter. PGA map and time histories obtained

from this chapter are then applied in Chapter 6.

Chapter 6 Microzonation Study. This chapter describes the effects of

local soil conditions in Kuala Lumpur city centre and Putrajaya. The

analysis is based on soil investigation carried out in several locations

around these two cities. Finally, peak surface acceleration maps and

design response spectra are developed for KLCC and Putrajaya.

Chapter 7 Conclusions and Recommendations. This chapter concludes

and summarizes the results on the previous chapters and also gives

recommendations for further study.

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