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RISE: a method for the design of resilient infrastructures
and structures against emergencies
M. Ortenzi, Francesco Petrini*, F. Bontempi, L. Giuliani
*Associate Researcher, [email protected]
Sapienza – University of RomeDepartment of Structural and Geotechnical Engineering
RISE: a method for the design of resilient infrastructures and structures against em
ergencies
BackgroundThis paper originates from a European research proposal.
Background2
F. Petrini. RISE: Resilient Infrastructures and Structures against EmergenciesICOSSAR 2013, Columbia University, New York, 16-20 June 2013
RISE: a method for the design of resilient infrastructures and structures against em
ergencies
Organization:Groups involved: ~ 12 groups directly involved
1 advisory board of 2-3 experts (not directly involved)Work packages: 7 technical work packages
2 additional work package for coordination and dissemination
Economical estimation:
Total budget: ~ 4.5 mil EUR (max. financing 3.5 mil EUR)
Time schedule:
Duration: 3 years (winter 2013 winter 2016)
Expected Impacts:
It is expected that action under this topic will improve the design of urban area and thus increase their security against and resilience to new threats. It is expected that it will lead to a systematic approach to resilience enhancements for large urban built infrastructures beginning at the design stage.
BackgroundThis paper originates from a European research proposal.
Background3
F. Petrini. RISE: Resilient Infrastructures and Structures against EmergenciesICOSSAR 2013, Columbia University, New York, 16-20 June 2013
RISE: a method for the design of resilient infrastructures and structures against em
ergencies
Organization:Groups involved: ~ 12 groups directly involved
1 advisory board of 2-3 experts (not directly involved)Work packages: 7 technical work packages
2 additional work package for coordination and dissemination
Economical estimation:
Total budget: ~ 4.5 mil EUR (max. financing 3.5 mil EUR)
Time schedule:
Duration: 3 years (winter 2013 winter 2016)
Expected Impacts:
It is expected that action under this topic will improve the design of urban area and thus increase their security against and resilience to new threats. It is expected that it will lead to a systematic approach to resilience enhancements for large urban built infrastructures beginning at the design stage.
THE PROPOSAL HAS
NOT BEEN FINANCED
RISE concept
Intro
5
F. Petrini. RISE: Resilient Infrastructures and Structures against EmergenciesICOSSAR 2013, Columbia University, New York, 16-20 June 2013
RISE: a method for the design of resilient infrastructures and structures against em
ergencies
Resilience conceptDefinition (not univocal):
A resilient community is defined as the one having the ability to absorb disaster impacts and rapidly return to normal socioeconomic activity.
MCEER (Multidisciplinary Center for Earthquake Engineering Research), (2006). “MCEER’s Resilience Framework”. Available at http://mceer.buffalo.edu/research/resilience/Resilience_10-24-06.pdf
NEHRP (National Earthquake Hazards Reduction Program), 2010. “Comments on the Meaning of Resilience”. NEHRP Technical report. Available at http://www.nehrp.gov/pdf/ACEHRCommentsJan2010.pdf
MCEER framework for resilience evaluation:
Initial losses Recovery time, depending on:• Resourcefulness• Rapidity
Disaster strikes
Systemic Robustness
6
F. Petrini. RISE: Resilient Infrastructures and Structures against EmergenciesICOSSAR 2013, Columbia University, New York, 16-20 June 2013
RISE: a method for the design of resilient infrastructures and structures against em
ergencies
Definition (not univocal):
A resilient community is defined as the one having the ability to absorb disaster impacts and rapidly return to normal socioeconomic activity.
MCEER (Multidisciplinary Center for Earthquake Engineering Research), (2006). “MCEER’s Resilience Framework”. Available at http://mceer.buffalo.edu/research/resilience/Resilience_10-24-06.pdf
NEHRP (National Earthquake Hazards Reduction Program), 2010. “Comments on the Meaning of Resilience”. NEHRP Technical report. Available at http://www.nehrp.gov/pdf/ACEHRCommentsJan2010.pdf
(dQ/dt)L0
TR
(dQ/dt)0
A R.I.S.E. focuses on
L0 and (dQ/dt)0
MCEER framework for resilience evaluation:
Resilience is inversely proportional to the area A.
R.I.S.E. – Concept (I)
7
F. Petrini. RISE: Resilient Infrastructures and Structures against EmergenciesICOSSAR 2013, Columbia University, New York, 16-20 June 2013
RISE: a method for the design of resilient infrastructures and structures against em
ergencies
R.I.S.E. – Concept (II)
----- = ordinary node
= critical (active) node in case of emergency
-----
= ordinary principal link (e.g. road)
= ordinary alternative link (e.g. underground)
= critical principal link
= critical alternative linkSCHOOL
HOSPITAL
HOUSE AGGRGATE
SPORT ARENA
SHOPPING CENTER
EMBASSY
OFFICE
UNIV. CAMPUS
HOUSE AGGRGATESEA
(Haz
ard
sour
ce)
FIRE DEPT
Urban development
PLANT
Representation of an urban area as a network of nodes and links- Nodes: relevant premises for urban activities, strategic and crowded buildings - Links: interconnections between them, transport and supply systems
8
F. Petrini. RISE: Resilient Infrastructures and Structures against EmergenciesICOSSAR 2013, Columbia University, New York, 16-20 June 2013
RISE: a method for the design of resilient infrastructures and structures against em
ergencies
R.I.S.E. – Concept (II)
SCHOOL
HOSPITAL
HOUSE AGGRGATE
MALL
SHOPPING CENTER
EMBASSY
OFFICE
HOUSE AGGRGATE
HOUSE AGGRGATE
SEA
(Haz
ard
sour
ce)
FIRE DEPARTMENT
PLANT
EXAMPLE: CHAIN HAZARD
Tsunami after an Earthquake = flood action
= earthquake action
= blast action
= fire action
Actions due to different hazards
= chain actions
= concurrent actions
Actions combination (multiple)
accidental actions & multiple hazards
9
F. Petrini. RISE: Resilient Infrastructures and Structures against EmergenciesICOSSAR 2013, Columbia University, New York, 16-20 June 2013
RISE: a method for the design of resilient infrastructures and structures against em
ergencies
HOSPITAL
PLANT
SCHOOL
EMB-ASSY
OFFICE
MALL
HOUSE
Urban area
Representation of an urban area as a network of nodes and links- Nodes: relevant premises for urban activities, strategic and crowded buildings - Links: interconnections between them, transport and supply systems
R.I.S.E. – Concept (III)
Advantage of this model:-Accurate: describes single responsesof nodes and links (local level) in termof both SERVICEABILITY and INTEGRITY
-Complete: accounts for INTERACTIONSbetween single structures or servicesand assesses the resilience of theinfrastructure as whole (network level)
-Flexible: can be applied to alltypes of large-scale infrastructures
10
F. Petrini. RISE: Resilient Infrastructures and Structures against EmergenciesICOSSAR 2013, Columbia University, New York, 16-20 June 2013
RISE: a method for the design of resilient infrastructures and structures against em
ergencies
L0
(dQ/dt)0
MESO- LEVEL: Contribute of the single premise (e.g. hospital, by considering the interrelations with proximity elements)
MACRO- LEVEL: - Convolution of the meso-level contributes
dLi
Representation of an urban area as a network of nodes and links- Nodes: relevant premises for urban activities, strategic and crowded buildings - Links: interconnections between them, transport and supply systems
R.I.S.E. – Concept (IV)
Advantage of this model:-Accurate: describes single responsesof nodes and links (local level) in termof both SERVICEABILITY and INTEGRITY
-Complete: accounts for INTERACTIONSbetween single structures or servicesand assesses the resilience of theinfrastructure as whole (network level)
-Flexible: can be applied to alltypes of large-scale infrastructures
-Multi-scale: resilience is evaluated at meso- and macro-scale levels
11
F. Petrini. RISE: Resilient Infrastructures and Structures against EmergenciesICOSSAR 2013, Columbia University, New York, 16-20 June 2013
RISE: a method for the design of resilient infrastructures and structures against em
ergencies
HOSPITAL
PLANT
SCHOOL
EMB-ASSY
OFFICE
MALL
HOUSE
Urban area
Representation of an urban area as a network of nodes and links- Nodes: relevant premises for urban activities, strategic and crowded buildings - Links: interconnections between them, transport and supply systems
R.I.S.E. – Concept (III)
Hospital
Advantage of this model:-Accurate: describes single responsesof nodes and links (local level) in termof both SERVICEABILITY and INTEGRITY
-Complete: accounts for INTERACTIONSbetween single structures or servicesand assesses the resilience of theinfrastructure as whole (network level)
-Flexible: can be applied to alltypes of large-scale infrastructures
-Multi-scale: resilience is evaluated at meso- and macro-scale levels
-Powerful: the analysis output be used for the analysis of larger scale infrastructures
12
F. Petrini. RISE: Resilient Infrastructures and Structures against EmergenciesICOSSAR 2013, Columbia University, New York, 16-20 June 2013
RISE: a method for the design of resilient infrastructures and structures against em
ergencies
RISE – Concept resume
MCEER (Multidisciplinary Center for Earthquake Engineering Research), (2006). “MCEER’s Resilience Framework”.
-- = ordinary node
= critical node in case of emergency---
= principal link (e.g. road)
HOSPITAL
HOUSE AGGRGATE
MALL
SHOPPING CENTEROFFICE
HOUSE AGGRGATE
FIRE DEPARTMENT
NUCLEAR PLANT
HOSPITAL
HOUSE AGGRGATE
MALL
SHOPPING CENTEROFFICE
HOUSE AGGRGATE
FIRE DEPARTMENT
NUCLEARPLANT
= earthquake action
= blast action= fire action
Representation of a large infrastructure as a network of nodes and links
Nodes: relevant premises of the infrastructure Links: local and access roads, pipelines and supply system
Initial losses
Recovery time:• Resourcefulness• Rapidity
Disaster strikes
A
L0
(dQ/dt)0
LOCAL- LEVEL:Contribute of the single premise (e.g. hospital, by considering the interrelations with proximity elements)
NETWORK- LEVEL:- Convolution of the local-level contributes
dLi
Quantitative definition of Resilience (MCEER) R.I.S.E. Multiscale philosophy
Disaster strikes --> Hazard scenario
13
RISE: a method for the design of resilient infrastructures and structures against em
ergencies
RISE
– F
ram
ewor
k
Load
Network Model for resilience
Multi-hazard Scenarios
Local Level
NetworkLevel
Local resilience indicators Network resilience indicators
ASSE
SSM
ENT
and
MIT
IGAT
ION
(A
naly
sis
for e
ach
node
and
link
)
Scenario output before mitigation
Scenario output after mitigation
ResIStframework for resilience assessment
Structure performanceA
B RecoveryE.g. Repair time
Damage
Action
Damage/Disservice
% of rescued
Action values
IM
A
IM
100 %
People safetyB
Quality
Indicator
Status of nodes and links(no interaction)
A
Quality
Indicator
Interactions effects (quality drop)B
L0i TR
i
Quality (network level)
Combination of local indicators
Indicator
L0 TR
Resilience ∞ 1 /A
C
Local resilience indicators are evaluated for each node and Link and for each scenario
Network resilience indicators are evaluated for each scenario
---- = Output
---- = comment
Qua
lity
L0 = initial lossesTR = recovery time
Infrastructure representation
Hazard Analysis
Protection analysis
Performance analysis
Resilience Assessment
Network Level
1
2 System Recovery functionD
** Picture taken from:
Decò A., Bocchini P., Frangopol D.M.. A probabilistic approach for the prediction of seismic resilience of bridges.
Earthquake Engineering and Structural Dynamics, Wiley, DOI: 10.1002/eqe.2282
Recovery analysis
**
3
RISE framework for resilience assessment
Case-Study1
15
F. Petrini. RISE: Resilient Infrastructures and Structures against EmergenciesICOSSAR 2013, Columbia University, New York, 16-20 June 2013
RISE: a method for the design of resilient infrastructures and structures against em
ergencies
Case study: an urban area under Earthquake
Hospital
Residential complex
Energy and water supply infrastructure
Elec
tric
ity
tran
smiss
ion
line
Water supply
pipeline
Bridge
----- = ordinary node
= critical (active) node in case of emergency
-----
16
F. Petrini. RISE: Resilient Infrastructures and Structures against EmergenciesICOSSAR 2013, Columbia University, New York, 16-20 June 2013
RISE: a method for the design of resilient infrastructures and structures against em
ergencies
Hospital
Residential complex
Energy and water supply infrastructure
Elec
tric
ity
tran
smiss
ion
line
Water supply
pipeline
Bridge
----- = ordinary node
= critical (active) node in case of emergency
-----
ZY
X
70 m
Case study: an urban area under Earthquake
17
F. Petrini. RISE: Resilient Infrastructures and Structures against EmergenciesICOSSAR 2013, Columbia University, New York, 16-20 June 2013
RISE: a method for the design of resilient infrastructures and structures against em
ergencies
Hospital
Residential complex
Energy and water supply infrastructure
Elec
tric
ity
tran
smiss
ion
line
Water supply
pipeline
Bridge
----- = ordinary node
= critical (active) node in case of emergency
-----
ZY
X
70 m
Case study: an urban area under Earthquake
18
F. Petrini. RISE: Resilient Infrastructures and Structures against EmergenciesICOSSAR 2013, Columbia University, New York, 16-20 June 2013
RISE: a method for the design of resilient infrastructures and structures against em
ergencies
Energy and water supply infrastructure: representation
WU
WD HY
CBCR
CU
RETAINING WALL UP (WU) RETAINING WALL DOWN (WD) HYDROELECTRIC POWER STATION (HY)
CONDUIT UP (CU) CONDUIT ROSALBA
CONDUIT PAVONCELLI BIS
1
2
34
5
6
7
1 2 3
4 5 6
7
HYDRAULIC JUNCTION
ELECTRICITY
WATER
Infrastructure plan view Individuation of the system/network components Representation of the system
Outputs
Load
Network Model for resilience
Multi-hazard Scenarios
Local Level
NetworkLevel
Local resilience indicators Network resilience indicators
ASSE
SSM
ENT
and
MIT
IGAT
ION
(Ana
lysis
for
eac
h no
de a
nd li
nk)
Scenario output before mitigation
Scenario output after mitigation
ResIStframework for resilience assessment
Structure performanceA
B RecoveryE.g. Repair time
Damage
Action
Damage/Disservice
% of rescued
Action values
IM
A
IM
100 %
People safetyB
Quality
Indicator
Status of nodes and links(no interaction)
A
Quality
Indicator
Interactions effects (quality drop)B
L0i TR
i
Quality (network level)
Combination of local indicators
Indicator
L0 TR
Resilience ∞ 1 /A
C
Local resilience indicators are evaluated for each node and Link and for each scenario
Network resilience indicators are evaluated for each scenario
---- = Output
---- = comment
Qua
lity
L0 = initial lossesTR = recovery time
Infrastructure representation
Hazard Analysis
Protection analysis
Performance analysis
Resilience Assessment
Network Level
1
2 System Recovery functionD
** Picture taken from:
Decò A., Bocchini P., Frangopol D.M.. A probabilistic approach for the prediction of seismic resilience of bridges.
Earthquake Engineering and Structural Dynamics, Wiley, DOI: 10.1002/eqe.2282
Recovery analysis
**
3
RISE framework for resilience assessment
Load
Network Model for resilience
Multi-hazard Scenarios
Local Level
NetworkLevel
Local resilience indicators Network resilience indicators
ASSE
SSM
ENT
and
MIT
IGAT
ION
(Ana
lysis
for
eac
h no
de a
nd li
nk)
Scenario output before mitigation
Scenario output after mitigation
ResIStframework for resilience assessment
Structure performanceA
B RecoveryE.g. Repair time
Damage
Action
Damage/Disservice
% of rescued
Action values
IM
A
IM
100 %
People safetyB
Quality
Indicator
Status of nodes and links(no interaction)
A
Quality
Indicator
Interactions effects (quality drop)B
L0i TR
i
Quality (network level)
Combination of local indicators
Indicator
L0 TR
Resilience ∞ 1 /A
C
Local resilience indicators are evaluated for each node and Link and for each scenario
Network resilience indicators are evaluated for each scenario
---- = Output
---- = comment
Qua
lity
L0 = initial lossesTR = recovery time
Infrastructure representation
Hazard Analysis
Protection analysis
Performance analysis
Resilience Assessment
Network Level
1
2 System Recovery functionD
** Picture taken from:
Decò A., Bocchini P., Frangopol D.M.. A probabilistic approach for the prediction of seismic resilience of bridges.
Earthquake Engineering and Structural Dynamics, Wiley, DOI: 10.1002/eqe.2282
Recovery analysis
**
3
RISE framework for resilience assessment
19
F. Petrini. RISE: Resilient Infrastructures and Structures against EmergenciesICOSSAR 2013, Columbia University, New York, 16-20 June 2013
RISE: a method for the design of resilient infrastructures and structures against em
ergencies
Energy and water supply infrastructure: scenarios
FLOW REDUCTION (U)FLOW REDUCTION (R)
ELECTRIC POWER INTERRUPTIONTOTAL FLOW INTERRUPTION (R+U)
Cons
eque
nce
scen
ario
s
Load
Network Model for resilience
Multi-hazard Scenarios
Local Level
NetworkLevel
Local resilience indicators Network resilience indicators
ASSE
SSM
ENT
and
MIT
IGAT
ION
(Ana
lysis
for
eac
h no
de a
nd li
nk)
Scenario output before mitigation
Scenario output after mitigation
ResIStframework for resilience assessment
Structure performanceA
B RecoveryE.g. Repair time
Damage
Action
Damage/Disservice
% of rescued
Action values
IM
A
IM
100 %
People safetyB
Quality
Indicator
Status of nodes and links(no interaction)
A
Quality
Indicator
Interactions effects (quality drop)B
L0i TR
i
Quality (network level)
Combination of local indicators
Indicator
L0 TR
Resilience ∞ 1 /A
C
Local resilience indicators are evaluated for each node and Link and for each scenario
Network resilience indicators are evaluated for each scenario
---- = Output
---- = comment
Qua
lity
L0 = initial lossesTR = recovery time
Infrastructure representation
Hazard Analysis
Protection analysis
Performance analysis
Resilience Assessment
Network Level
1
2 System Recovery functionD
** Picture taken from:
Decò A., Bocchini P., Frangopol D.M.. A probabilistic approach for the prediction of seismic resilience of bridges.
Earthquake Engineering and Structural Dynamics, Wiley, DOI: 10.1002/eqe.2282
Recovery analysis
**
3
RISE framework for resilience assessment
Load
Network Model for resilience
Multi-hazard Scenarios
Local Level
NetworkLevel
Local resilience indicators Network resilience indicators
ASSE
SSM
ENT
and
MIT
IGAT
ION
(Ana
lysis
for
eac
h no
de a
nd li
nk)
Scenario output before mitigation
Scenario output after mitigation
ResIStframework for resilience assessment
Structure performanceA
B RecoveryE.g. Repair time
Damage
Action
Damage/Disservice
% of rescued
Action values
IM
A
IM
100 %
People safetyB
Quality
Indicator
Status of nodes and links(no interaction)
A
Quality
Indicator
Interactions effects (quality drop)B
L0i TR
i
Quality (network level)
Combination of local indicators
Indicator
L0 TR
Resilience ∞ 1 /A
C
Local resilience indicators are evaluated for each node and Link and for each scenario
Network resilience indicators are evaluated for each scenario
---- = Output
---- = comment
Qua
lity
L0 = initial lossesTR = recovery time
Infrastructure representation
Hazard Analysis
Protection analysis
Performance analysis
Resilience Assessment
Network Level
1
2 System Recovery functionD
** Picture taken from:
Decò A., Bocchini P., Frangopol D.M.. A probabilistic approach for the prediction of seismic resilience of bridges.
Earthquake Engineering and Structural Dynamics, Wiley, DOI: 10.1002/eqe.2282
Recovery analysis
**
3
RISE framework for resilience assessment
20
F. Petrini. RISE: Resilient Infrastructures and Structures against EmergenciesICOSSAR 2013, Columbia University, New York, 16-20 June 2013
RISE: a method for the design of resilient infrastructures and structures against em
ergencies
WU FAIL
HY FAIL?
CU FAIL?
Y
WU + WD +HY+ CU
TOTAL FLOW
TOTAL FLOW
TOTAL FLOW
NO R + E
CRFAIL?
WU
WU + WD
WU + WD + HY
WD FAIL?
N
N
N
Y
Y
N
N
N
N
CRFAIL?
CRFAIL?
CRFAIL? NO R
NO R
NO U + E
NO U+ E + R
N
N
N
N
Y
Y
Y
Y
Faul
t-Tre
e an
alys
is
Criti
cal s
erie
s of
com
pone
nts
WU
WD HY
CBCR
CU
RETAINING WALL UP (WU) RETAINING WALL DOWN (WD) HYDROELECTRIC POWER STATION (HY)
CONDUIT UP (CU) CONDUIT ROSALBA
CONDUIT PAVONCELLI BIS
1
2
34
5
6
7
1 2 3
4 5 6
7
HYDRAULIC JUNCTION
ELECTRICITY
WATER
Infrastructure plan view Individuation of the system/network components Representation of the system
Outputs
Energy and water supply infrastructure: scenarios
Load
Network Model for resilience
Multi-hazard Scenarios
Local Level
NetworkLevel
Local resilience indicators Network resilience indicators
ASSE
SSM
ENT
and
MIT
IGAT
ION
(Ana
lysis
for
eac
h no
de a
nd li
nk)
Scenario output before mitigation
Scenario output after mitigation
ResIStframework for resilience assessment
Structure performanceA
B RecoveryE.g. Repair time
Damage
Action
Damage/Disservice
% of rescued
Action values
IM
A
IM
100 %
People safetyB
Quality
Indicator
Status of nodes and links(no interaction)
A
Quality
Indicator
Interactions effects (quality drop)B
L0i TR
i
Quality (network level)
Combination of local indicators
Indicator
L0 TR
Resilience ∞ 1 /A
C
Local resilience indicators are evaluated for each node and Link and for each scenario
Network resilience indicators are evaluated for each scenario
---- = Output
---- = comment
Qua
lity
L0 = initial lossesTR = recovery time
Infrastructure representation
Hazard Analysis
Protection analysis
Performance analysis
Resilience Assessment
Network Level
1
2 System Recovery functionD
** Picture taken from:
Decò A., Bocchini P., Frangopol D.M.. A probabilistic approach for the prediction of seismic resilience of bridges.
Earthquake Engineering and Structural Dynamics, Wiley, DOI: 10.1002/eqe.2282
Recovery analysis
**
3
RISE framework for resilience assessment
Load
Network Model for resilience
Multi-hazard Scenarios
Local Level
NetworkLevel
Local resilience indicators Network resilience indicators
ASSE
SSM
ENT
and
MIT
IGAT
ION
(Ana
lysis
for
eac
h no
de a
nd li
nk)
Scenario output before mitigation
Scenario output after mitigation
ResIStframework for resilience assessment
Structure performanceA
B RecoveryE.g. Repair time
Damage
Action
Damage/Disservice
% of rescued
Action values
IM
A
IM
100 %
People safetyB
Quality
Indicator
Status of nodes and links(no interaction)
A
Quality
Indicator
Interactions effects (quality drop)B
L0i TR
i
Quality (network level)
Combination of local indicators
Indicator
L0 TR
Resilience ∞ 1 /A
C
Local resilience indicators are evaluated for each node and Link and for each scenario
Network resilience indicators are evaluated for each scenario
---- = Output
---- = comment
Qua
lity
L0 = initial lossesTR = recovery time
Infrastructure representation
Hazard Analysis
Protection analysis
Performance analysis
Resilience Assessment
Network Level
1
2 System Recovery functionD
** Picture taken from:
Decò A., Bocchini P., Frangopol D.M.. A probabilistic approach for the prediction of seismic resilience of bridges.
Earthquake Engineering and Structural Dynamics, Wiley, DOI: 10.1002/eqe.2282
Recovery analysis
**
3
RISE framework for resilience assessment
Interaction analysis2
Load
Network Model for resilience
Multi-hazard Scenarios
Local Level
NetworkLevel
Local resilience indicators Network resilience indicators
ASSE
SSM
ENT
and
MIT
IGAT
ION
(Ana
lysis
for
eac
h no
de a
nd li
nk)
Scenario output before mitigation
Scenario output after mitigation
ResIStframework for resilience assessment
Structure performanceA
B RecoveryE.g. Repair time
Damage
Action
Damage/Disservice
% of rescued
Action values
IM
A
IM
100 %
People safetyB
Quality
Indicator
Status of nodes and links(no interaction)
A
Quality
Indicator
Interactions effects (quality drop)B
L0i TR
i
Quality (network level)
Combination of local indicators
Indicator
L0 TR
Resilience ∞ 1 /A
C
Local resilience indicators are evaluated for each node and Link and for each scenario
Network resilience indicators are evaluated for each scenario
---- = Output
---- = comment
Qua
lity
L0 = initial lossesTR = recovery time
Infrastructure representation
Hazard Analysis
Protection analysis
Performance analysis
Resilience Assessment
Network Level
1
2 System Recovery functionD
** Picture taken from:
Decò A., Bocchini P., Frangopol D.M.. A probabilistic approach for the prediction of seismic resilience of bridges.
Earthquake Engineering and Structural Dynamics, Wiley, DOI: 10.1002/eqe.2282
Recovery analysis
**
3
RISE framework for resilience assessment
22
F. Petrini. RISE: Resilient Infrastructures and Structures against EmergenciesICOSSAR 2013, Columbia University, New York, 16-20 June 2013
RISE: a method for the design of resilient infrastructures and structures against em
ergencies
Load
Network Model for resilience
Multi-hazard Scenarios
Local Level
NetworkLevel
Local resilience indicators Network resilience indicators
ASSE
SSM
ENT
and
MIT
IGAT
ION
(Ana
lysis
for
eac
h no
de a
nd li
nk)
Scenario output before mitigation
Scenario output after mitigation
ResIStframework for resilience assessment
Structure performanceA
B RecoveryE.g. Repair time
Damage
Action
Damage/Disservice
% of rescued
Action values
IM
A
IM
100 %
People safetyB
Quality
Indicator
Status of nodes and links(no interaction)
A
Quality
Indicator
Interactions effects (quality drop)B
L0i TR
i
Quality (network level)
Combination of local indicators
Indicator
L0 TR
Resilience ∞ 1 /A
C
Local resilience indicators are evaluated for each node and Link and for each scenario
Network resilience indicators are evaluated for each scenario
---- = Output
---- = comment
Qua
lity
L0 = initial lossesTR = recovery time
Infrastructure representation
Hazard Analysis
Protection analysis
Performance analysis
Resilience Assessment
Network Level
1
2 System Recovery functionD
** Picture taken from:
Decò A., Bocchini P., Frangopol D.M.. A probabilistic approach for the prediction of seismic resilience of bridges.
Earthquake Engineering and Structural Dynamics, Wiley, DOI: 10.1002/eqe.2282
Recovery analysis
**
3
RISE framework for resilience assessment
Critical series of components: retaining walls
WU
WD HY
CBCR
CU
RETAINING WALL UP (WU) RETAINING WALL DOWN (WD) HYDROELECTRIC POWER STATION (HY)
CONDUIT UP (CU) CONDUIT ROSALBA
CONDUIT PAVONCELLI BIS
1
2
34
5
6
7
1 2 3
4 5 6
7
HYDRAULIC JUNCTION
ELECTRICITY
WATER
Infrastructure plan view Individuation of the system/network components Representation of the system
Outputs
(0,0) (92,0)
(92,29)(0,29)
(0,54)
(0,62) (28.5,62)
(53,56)
(63,45)
(92,32)
(92,34)
Critical series of components
FE model
23
F. Petrini. RISE: Resilient Infrastructures and Structures against EmergenciesICOSSAR 2013, Columbia University, New York, 16-20 June 2013
RISE: a method for the design of resilient infrastructures and structures against em
ergencies
Individual components: seismic fragility
(0,0) (92,0)
(92,29)(0,29)
(0,54)
(0,62) (28.5,62)
(53,56)
(63,45)
(92,32)
(92,34)
record ID Earthquake Station Record/Component HP (Hz) LP (Hz) PGA (g)
1 P1047 Kobe 1995/01/16 20:46 0 OKA KOBE/OKA-UP 0.05 null 0.038
2P0189 Imperial Valley 1979/10/15
23:165052 Plaster City IMPVALL/H-PLS135 0.1 40 0.057
3 P1047 Kobe 1995/01/16 20:46 0 OKA KOBE/OKA000 0.05 null 0.0814 Imperial Valley El_Centro#13 NGA_no_176_H-E13230 0.138
5P0210 Imperial Valley 1979/10/16
06:585169 Westmorland Fire Sta
IMPVALL/F-WSM180 0.25 40 0.171
6P0027 Hollister 1961/04/09 07:23
1028 Hollister City Hall
HOLLISTR/B-HCH271 0.11 11 0.196
7 Loma Prieta AndersonDam NGA_no_739_AND250 0.2448 LomaPrieta HollisterDiff.Array NGA_no_778_HDA165 0.278
9 P0169 Imperial Valley 1979/10/15 23:16
6617 Cucapah IMPVALL/H-QKP085 0.05 null 0.309
10 LomaPrieta WAHO NGA_no_811_WAH090 0.3699611 Kobe, Japan Nishi-Akashi NGA_no_1111_NIS000 0.5027512 Kobe, Japan Takatori 0.6112613 CHI-CHI CHY028 NGA_no_1197_CHY028-E 0.6530114 Loma Prieta AndersonDam NGA_no_739_AND250 0.683215 LomaPrieta HollisterDiff.Array NGA_no_778_HDA165 0.7228
16Imperial Valley 1979/10/15 23:16
6617 Cucapah IMPVALL/H-QKP085 0.05 null 0.803417 LomaPrieta WAHO NGA_no_811_WAH090 0.850918 Kobe, Japan Nishi-Akashi NGA_no_1111_NIS000 0.9049519 Kobe, Japan Takatori 1.1002620 CHI-CHI CHY028 NGA_no_1197_CHY028-E 1.17542
EDP:1) Max bending moment in the
concrete wall2) Max drift3) Final drift
IM: PGA
METHODOLOGY:
Set of seismic records
Zhang J., Huo Y. (2009). Evaluating effectiveness and optimum design of isolation devices for highway bridges using the fragility function method. Engineering Structures 31; 1648-1660
24
F. Petrini. RISE: Resilient Infrastructures and Structures against EmergenciesICOSSAR 2013, Columbia University, New York, 16-20 June 2013
RISE: a method for the design of resilient infrastructures and structures against em
ergencies
Individual components: seismic fragility
(0,0) (92,0)
(92,29)(0,29)
(0,54)
(0,62) (28.5,62)
(53,56)
(63,45)
(92,32)
(92,34)
EDP:1) Max bending moment
in the concrete wall2) Max drift3) Final drift
LS threshold values:1) WU=WD=850848.8 N*m
2) WU=0.3m; WD=0.4m3) WU=0.3m; WD=0.4m
WUWD
P(ED
P|IM
)
IM (g)
WU
IM (g)
WD
P(ED
P|IM
)
25
F. Petrini. RISE: Resilient Infrastructures and Structures against EmergenciesICOSSAR 2013, Columbia University, New York, 16-20 June 2013
RISE: a method for the design of resilient infrastructures and structures against em
ergencies
Interactions on seismic fragility
Load
Network Model for resilience
Multi-hazard Scenarios
Local Level
NetworkLevel
Local resilience indicators Network resilience indicators
ASSE
SSM
ENT
and
MIT
IGAT
ION
(Ana
lysis
for
eac
h no
de a
nd li
nk)
Scenario output before mitigation
Scenario output after mitigation
ResIStframework for resilience assessment
Structure performanceA
B RecoveryE.g. Repair time
Damage
Action
Damage/Disservice
% of rescued
Action values
IM
A
IM
100 %
People safetyB
Quality
Indicator
Status of nodes and links(no interaction)
A
Quality
Indicator
Interactions effects (quality drop)B
L0i TR
i
Quality (network level)
Combination of local indicators
Indicator
L0 TR
Resilience ∞ 1 /A
C
Local resilience indicators are evaluated for each node and Link and for each scenario
Network resilience indicators are evaluated for each scenario
---- = Output
---- = comment
Qua
lity
L0 = initial lossesTR = recovery time
Infrastructure representation
Hazard Analysis
Protection analysis
Performance analysis
Resilience Assessment
Network Level
1
2 System Recovery functionD
** Picture taken from:
Decò A., Bocchini P., Frangopol D.M.. A probabilistic approach for the prediction of seismic resilience of bridges.
Earthquake Engineering and Structural Dynamics, Wiley, DOI: 10.1002/eqe.2282
Recovery analysis
**
3
RISE framework for resilience assessment
Load
Network Model for resilience
Multi-hazard Scenarios
Local Level
NetworkLevel
Local resilience indicators Network resilience indicators
ASSE
SSM
ENT
and
MIT
IGAT
ION
(Ana
lysis
for
eac
h no
de a
nd li
nk)
Scenario output before mitigation
Scenario output after mitigation
ResIStframework for resilience assessment
Structure performanceA
B RecoveryE.g. Repair time
Damage
Action
Damage/Disservice
% of rescued
Action values
IM
A
IM
100 %
People safetyB
Quality
Indicator
Status of nodes and links(no interaction)
A
Quality
Indicator
Interactions effects (quality drop)B
L0i TR
i
Quality (network level)
Combination of local indicators
Indicator
L0 TR
Resilience ∞ 1 /A
C
Local resilience indicators are evaluated for each node and Link and for each scenario
Network resilience indicators are evaluated for each scenario
---- = Output
---- = comment
Qua
lity
L0 = initial lossesTR = recovery time
Infrastructure representation
Hazard Analysis
Protection analysis
Performance analysis
Resilience Assessment
Network Level
1
2 System Recovery functionD
** Picture taken from:
Decò A., Bocchini P., Frangopol D.M.. A probabilistic approach for the prediction of seismic resilience of bridges.
Earthquake Engineering and Structural Dynamics, Wiley, DOI: 10.1002/eqe.2282
Recovery analysis
**
3
RISE framework for resilience assessment
IM (g)
P(ED
P|IM
)
WU WD+
26
F. Petrini. RISE: Resilient Infrastructures and Structures against EmergenciesICOSSAR 2013, Columbia University, New York, 16-20 June 2013
RISE: a method for the design of resilient infrastructures and structures against em
ergencies
Hospital
Residential complex
Energy and water supply infrastructure
Elec
tric
ity
tran
smiss
ion
line
Water supply
pipeline
Bridge
----- = ordinary node
= critical (active) node in case of emergency
-----
Case study: an urban area under Earthquake
DIRECT LOSSESINDIRECT LOSSES
Deterioration analysis3
28
F. Petrini. RISE: Resilient Infrastructures and Structures against EmergenciesICOSSAR 2013, Columbia University, New York, 16-20 June 2013
RISE: a method for the design of resilient infrastructures and structures against em
ergencies
Considered deteriorations
RECOVERY TIME
DETERIORATION TIME
quality %
t0 t1 time
FULLY FUNCTIONAL
DETERIORATIONΔQ
ΔL
29
F. Petrini. RISE: Resilient Infrastructures and Structures against EmergenciesICOSSAR 2013, Columbia University, New York, 16-20 June 2013
RISE: a method for the design of resilient infrastructures and structures against em
ergencies
Pushover analysis
0
200
400
600
800
1000
1200
1 1.5 2 2.5 3 3.5 4 4.5
Mm
ax
λ
dependence on concrete
"C12-15 load g"
"C25-30 load g"
0
200
400
600
800
1000
1200
1 1.5 2 2.5 3 3.5 4 4.5
Mm
ax
λ
depedance on steel behaviour
"50% steel load g"
"100% steel load g"
MATERIALCONCRETE FROM C25/30 TO C12/15
STEEL FROM 100% AREA TO 50% - 75%
30
F. Petrini. RISE: Resilient Infrastructures and Structures against EmergenciesICOSSAR 2013, Columbia University, New York, 16-20 June 2013
RISE: a method for the design of resilient infrastructures and structures against em
ergencies
Considered deteriorations
C25/30 C12/15 50%steel 75%steel
g 2.425 2.5 1.675 2.15
g+0.2g 1.375 1.375 <1 1.1
C25/30 C12/15 50%steel 75%steel
g 2.425 2.5 1.675 2.15
g+0.2g 1.375 1.375 <1 1.1
BENDING MOMENT CURVATURE
cls 25/30 cls 12/15 50% steel
75% steel
0.000
0.500
1.000
1.500
2.000
2.500
λ at first plasticityg g+0.2g
31
Performance-based w
ind design of tall buildings equipped with viscoelastic dam
pers
Conclusions• An effective multi-scale framework for resilience evaluation of the large scale
urban built infrastructure has been proposed.
• The resilience of all large critical infrastructures is first assessed (local level of nodes and link). The resilience of the whole system (network level) is evaluated on the basis of the interdependencies between its components and of the repercussion of the failure of one component on the other elements.
• Further investigations are required to assess the impact of different assumptions in the analysis process, namely: • definition of appropriate analytical and probabilistic methodologies in order to deal
with multiple-hazard scenarios;• definition of appropriate methods for handling so-called “low-probability, high-
consequence events”;• development of appropriate methods for the correct evaluation of the recovery
function;• improved evaluation of indirect losses occurring in urban developments in
consequence of natural disasters.
F. Petrini. RISE: Resilient Infrastructures and Structures against EmergenciesICOSSAR 2013, Columbia University, New York, 16-20 June 2013