Nonlinear Analysis of Masonry-Infilled Steel Frames With Openings Using
Modelling RC masonry infilled frames under earthquake loading:...
Transcript of Modelling RC masonry infilled frames under earthquake loading:...
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Modelling RC masonry infilled frames under
earthquake loading: from accurate micro-models
to simplified macro-models.
Student name:
Hossameldeen Mohamed Ahmed
Supervisor:
Prof. Xavier Romão
2016
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PhD 2016 | 2
2016 CONSTRUCT PhD Workshop
b) Infill shear and major frame damages,
Chania 2008 a) Infill shear and minor frame damages,
Nepal 2015
c) A collapsed soft storey apartment
building in the Marina District, San
Francisco 1989 (Loma Prieta Earthquake)
d) Damage to an apartment building with
a soft first storey in Bordj-Kiffan city,
Algeria 2003
Motivation and objectives
• Based on the observations of several recent earthquakes, the vulnerability of the
masonry-infilled RC frames is clear.
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PhD 2016 | 3
2016 CONSTRUCT PhD Workshop
• Based on the observations of several recent earthquakes, the vulnerability of the
masonry-infilled RC frames is clear.
• In order to assess the structural contribution of the infill panel to the structural
behaviour, a realistic model for the infill panel is urgently needed.
Tasks
• Define the best model to simulate the behaviour of masonry-infilled RC structures.
o A comprehensive review of existing macro-models (single strut model)
o Numerical calibration of the proposed models’ parameters (based on
stiffness or strength characteristics)
o Experimental calibration of the proposed models’ parameters
o Micro-modelling approach as a proxy for the experimental data
Motivation and objectives
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2016 CONSTRUCT PhD Workshop
A comprehensive review of the existing macro-models (strut model)
• Polyakov’s experimental observation on the late 1950s
Infill panel works as a bracing for the RC frame
• Several attempts have been carried out to define the configuration and
structural parameters of this equivalent element.
Various examples of strut models
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A comprehensive review of the existing macro-models (strut model)
• Polyakov’s experimental observation on the late 1950s
• Several attempts have been carried out to define the configuration and
structural parameters of this equivalent element.
• Using a single strut element provides a simplified and efficient way to
represent the effect of the infill panel on the structural behaviour of the building
o Based on the literature, the calibration of the single strut model could
be done through main approach:
Stiffness approach.
Area of strut (several formulas are found)
Constitutive model for the equivalent material.(based on the masonry compressive strength fm)
Strength approach
Force-displacement backbone curve.
Calibration of the single strut model
d
whwh
Lw
L
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2016 CONSTRUCT PhD Workshop
Stiffness approach.
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Holmes 1961
Mainstone 1971
Te-chang et al, 1984
Decanini et al.1987
Moghaddam et al. 1988
Hendry 1990
Paulay ,et al. 1992
Durrani and Luo, 1994
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unit 1
Holmes 1961
Mainstone 1971
Te-chang et al, 1984
Decanini et al.1987
Moghaddam et al. 1988
Hendry 1990
Paulay ,et al. 1992
Durrani and Luo, 1994
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11
Spec
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Spec
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SBF
Spec
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IS
Spec
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unit 1
Holmes 1961
Mainstone 1971
Te-chang et al, 1984
Decanini et al.1987
Moghaddam et al. 1988
Hendry 1990
Paulay ,et al. 1992
Durrani and Luo, 1994
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M2
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F 1
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Spec
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11
Spec
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Spec
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SBF
Spec
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IS
Spec
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unit 1
Holmes 1961
Mainstone 1971
Te-chang et al, 1984
Decanini et al.1987
Moghaddam et al. 1988
Hendry 1990
Paulay ,et al. 1992
Durrani and Luo, 1994
• 8 different formulas were used to evaluate the width of the strut
for 15 fully infilled specimens from 10 experimental campaigns
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Strength approach.
• 3 different formulas were used to evaluate the force-displacement curve
of the strut for 15 fully infilled specimens from 10 experimental campaigns
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Dolšek, et al. (2008)
Panagiotakos, et al. (1996)
Bertoldi, et al. (1993)
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Km
(experim
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experim
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Spec
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Spec
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Spec
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Dolšek, et al. (2008)
Panagiotakos, et al. (1996)
Bertoldi, et al. (1993)
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Dolšek, et al. (2008)
Panagiotakos, et al. (1996)
Bertoldi, et al. (1993)
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K1th
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Dolšek, et al. (2008)
Panagiotakos, et al. (1996)
Bertoldi, et al. (1993)
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2016 CONSTRUCT PhD Workshop
Experimentally-based calibration
• Force-displacement curve is defined
• Several formulas are used to estimate the area of the strut.
• Based on the max. force and the numerical area of the strut obtained, a fictitious strength is
calculated. This strength defines the material of the strut instead of the real masonry material.
Fully infilled specimens
- specimen M2
- specimen S
Partially infilled specimens
- specimen DO2
- specimen DX1
- specimen WO2
- specimen WX1
-6 -4 -2 0 2 4 6-150-75
075
150Holmes 1961
-6 -4 -2 0 2 4 6-150-75
075
150Mainstone 1971
-6 -4 -2 0 2 4 6-150-75
075
150
Base S
hear
(kN
) Te-chang et al, 1984
-6 -4 -2 0 2 4 6-150-75
075
150Decanini et al.1987
-6 -4 -2 0 2 4 6-150-75
075
150Mohghaddam et al. 1988
-6 -4 -2 0 2 4 6-150-75
075
150Hendry 1990
-6 -4 -2 0 2 4 6-150-75
075
150
Drift (%)
Paulay,et al. 1992
-6 -4 -2 0 2 4 6-150-75
075
150Durrani and Luo, 1994
Drift (%)
Numerical model Experimental Data
-4 -3 -2 -1 0 1 2 3 4-120-60
060
120Holmes 1961
-4 -3 -2 -1 0 1 2 3 4-120-60
060
120Mainstone 1971
-4 -3 -2 -1 0 1 2 3 4-120-60
060
120
Base S
hear
(kN
) Te-chang et al, 1984
-4 -3 -2 -1 0 1 2 3 4-120-60
060
120Decanini et al.1987
-4 -3 -2 -1 0 1 2 3 4-120-60
060
120Mohghaddam et al. 1988
-4 -3 -2 -1 0 1 2 3 4-120-60
060
120Hendry 1990
-4 -3 -2 -1 0 1 2 3 4-120-60
060
120
Drift (%)
Paulay,et al. 1992
-4 -3 -2 -1 0 1 2 3 4-120-60
060
120Durrani and Luo, 1994
Drift (%)
Numerical model Experimental Data
-4 -3 -2 -1 0 1 2 3 4-120-60
060
120Holmes 1961
-4 -3 -2 -1 0 1 2 3 4-120-60
060
120Mainstone 1971
-4 -3 -2 -1 0 1 2 3 4-120-60
060
120
Base S
hear
(kN
) Te-chang et al, 1984
-4 -3 -2 -1 0 1 2 3 4-120-60
060
120Decanini et al.1987
-4 -3 -2 -1 0 1 2 3 4-120-60
060
120Mohghaddam et al. 1988
-4 -3 -2 -1 0 1 2 3 4-120-60
060
120Hendry 1990
-4 -3 -2 -1 0 1 2 3 4-120-60
060
120
Drift (%)
Paulay,et al. 1992
-4 -3 -2 -1 0 1 2 3 4-120-60
060
120Durrani and Luo, 1994
Drift (%)
Numerical model Experimental Data
-4 -3 -2 -1 0 1 2 3 4-120-60
060
120Holmes 1961
-4 -3 -2 -1 0 1 2 3 4-120-60
060
120Mainstone 1971
-4 -3 -2 -1 0 1 2 3 4-120-60
060
120
Base S
hear
(kN
) Te-chang et al, 1984
-4 -3 -2 -1 0 1 2 3 4-120-60
060
120Decanini et al.1987
-4 -3 -2 -1 0 1 2 3 4-120-60
060
120Mohghaddam et al. 1988
-4 -3 -2 -1 0 1 2 3 4-120-60
060
120Hendry 1990
-4 -3 -2 -1 0 1 2 3 4-120-60
060
120
Drift (%)
Paulay,et al. 1992
-4 -3 -2 -1 0 1 2 3 4-120-60
060
120Durrani and Luo, 1994
Drift (%)
Numerical model Experimental Data
-4 -3 -2 -1 0 1 2 3 4-120-60
060
120Holmes 1961
-4 -3 -2 -1 0 1 2 3 4-120-60
060
120Mainstone 1971
-4 -3 -2 -1 0 1 2 3 4-120-60
060
120
Base S
hear
(kN
) Te-chang et al, 1984
-4 -3 -2 -1 0 1 2 3 4-120-60
060
120Decanini et al.1987
-4 -3 -2 -1 0 1 2 3 4-120-60
060
120Mohghaddam et al. 1988
-4 -3 -2 -1 0 1 2 3 4-120-60
060
120Hendry 1990
-4 -3 -2 -1 0 1 2 3 4-120-60
060
120
Drift (%)
Paulay,et al. 1992
-4 -3 -2 -1 0 1 2 3 4-120-60
060
120Durrani and Luo, 1994
Drift (%)
Numerical model Experimental Data
-4 -3 -2 -1 0 1 2 3 4-120-60
060
120Holmes 1961
-4 -3 -2 -1 0 1 2 3 4-120-60
060
120Mainstone 1971
-4 -3 -2 -1 0 1 2 3 4-120-60
060
120
Base S
hear
(kN
) Te-chang et al, 1984
-4 -3 -2 -1 0 1 2 3 4-120-60
060
120Decanini et al.1987
-4 -3 -2 -1 0 1 2 3 4-120-60
060
120Mohghaddam et al. 1988
-4 -3 -2 -1 0 1 2 3 4-120-60
060
120Hendry 1990
-4 -3 -2 -1 0 1 2 3 4-120-60
060
120
Drift (%)
Paulay,et al. 1992
-4 -3 -2 -1 0 1 2 3 4-120-60
060
120Durrani and Luo, 1994
Drift (%)
Numerical model Experimental Data
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PhD 2016 | 9
2016 CONSTRUCT PhD Workshop
Micro-modelling approach as a proxy for the experimental data
• The micro-modelling approach is as an effective tool to simulate the behaviour
masonry-infilled RC structures when experimental data is not available.
• Based on predefined and checked detailed micro-models, the structural parameters of
the strut were calibrated again.
Fully infilled specimens
- specimen M2
- specimen S
Partially infilled specimens
- specimen DO2
- specimen DX1
- specimen WO2
- specimen WX1
-6 -4 -2 0 2 4 6-150-75
075
150Holmes 1961
-6 -4 -2 0 2 4 6-150-75
075
150Mainstone 1971
-6 -4 -2 0 2 4 6-150-75
075
150
Base S
hear
(kN
) Te-chang et al, 1984
-6 -4 -2 0 2 4 6-150-75
075
150Decanini et al.1987
-6 -4 -2 0 2 4 6-150-75
075
150Mohghaddam et al. 1988
-6 -4 -2 0 2 4 6-150-75
075
150Hendry 1990
-6 -4 -2 0 2 4 6-150-75
075
150
Drift (%)
Paulay,et al. 1992
-6 -4 -2 0 2 4 6-150-75
075
150Durrani and Luo, 1994
Drift (%)
Numerical model Experimental Data
-4 -3 -2 -1 0 1 2 3 4-120-60
060
120Holmes 1961
-4 -3 -2 -1 0 1 2 3 4-120-60
060
120Mainstone 1971
-4 -3 -2 -1 0 1 2 3 4-120-60
060
120
Base S
hear
(kN
) Te-chang et al, 1984
-4 -3 -2 -1 0 1 2 3 4-120-60
060
120Decanini et al.1987
-4 -3 -2 -1 0 1 2 3 4-120-60
060
120Mohghaddam et al. 1988
-4 -3 -2 -1 0 1 2 3 4-120-60
060
120Hendry 1990
-4 -3 -2 -1 0 1 2 3 4-120-60
060
120
Drift (%)
Paulay,et al. 1992
-4 -3 -2 -1 0 1 2 3 4-120-60
060
120Durrani and Luo, 1994
Drift (%)
Numerical model Experimental Data
-4 -3 -2 -1 0 1 2 3 4-120-60
060
120Holmes 1961
-4 -3 -2 -1 0 1 2 3 4-120-60
060
120Mainstone 1971
-4 -3 -2 -1 0 1 2 3 4-120-60
060
120
Base S
hear
(kN
) Te-chang et al, 1984
-4 -3 -2 -1 0 1 2 3 4-120-60
060
120Decanini et al.1987
-4 -3 -2 -1 0 1 2 3 4-120-60
060
120Mohghaddam et al. 1988
-4 -3 -2 -1 0 1 2 3 4-120-60
060
120Hendry 1990
-4 -3 -2 -1 0 1 2 3 4-120-60
060
120
Drift (%)
Paulay,et al. 1992
-4 -3 -2 -1 0 1 2 3 4-120-60
060
120Durrani and Luo, 1994
Drift (%)
Numerical model Experimental Data
-4 -3 -2 -1 0 1 2 3 4-120-60
060
120Holmes 1961
-4 -3 -2 -1 0 1 2 3 4-120-60
060
120Mainstone 1971
-4 -3 -2 -1 0 1 2 3 4-120-60
060
120
Base S
hear
(kN
) Te-chang et al, 1984
-4 -3 -2 -1 0 1 2 3 4-120-60
060
120Decanini et al.1987
-4 -3 -2 -1 0 1 2 3 4-120-60
060
120Mohghaddam et al. 1988
-4 -3 -2 -1 0 1 2 3 4-120-60
060
120Hendry 1990
-4 -3 -2 -1 0 1 2 3 4-120-60
060
120
Drift (%)
Paulay,et al. 1992
-4 -3 -2 -1 0 1 2 3 4-120-60
060
120Durrani and Luo, 1994
Drift (%)
Numerical model Experimental Data
-4 -3 -2 -1 0 1 2 3 4-120-60
060
120Holmes 1961
-4 -3 -2 -1 0 1 2 3 4-120-60
060
120Mainstone 1971
-4 -3 -2 -1 0 1 2 3 4-120-60
060
120
Base S
hear
(kN
) Te-chang et al, 1984
-4 -3 -2 -1 0 1 2 3 4-120-60
060
120Decanini et al.1987
-4 -3 -2 -1 0 1 2 3 4-120-60
060
120Mohghaddam et al. 1988
-4 -3 -2 -1 0 1 2 3 4-120-60
060
120Hendry 1990
-4 -3 -2 -1 0 1 2 3 4-120-60
060
120
Drift (%)
Paulay,et al. 1992
-4 -3 -2 -1 0 1 2 3 4-120-60
060
120Durrani and Luo, 1994
Drift (%)
Numerical model Experimental Data
-4 -3 -2 -1 0 1 2 3 4-120-60
060
120Holmes 1961
-4 -3 -2 -1 0 1 2 3 4-120-60
060
120Mainstone 1971
-4 -3 -2 -1 0 1 2 3 4-120-60
060
120
Base S
hear
(kN
) Te-chang et al, 1984
-4 -3 -2 -1 0 1 2 3 4-120-60
060
120Decanini et al.1987
-4 -3 -2 -1 0 1 2 3 4-120-60
060
120Mohghaddam et al. 1988
-4 -3 -2 -1 0 1 2 3 4-120-60
060
120Hendry 1990
-4 -3 -2 -1 0 1 2 3 4-120-60
060
120
Drift (%)
Paulay,et al. 1992
-4 -3 -2 -1 0 1 2 3 4-120-60
060
120Durrani and Luo, 1994
Drift (%)
Numerical model Experimental Data
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Conclusions
• The structural behaviour of the infill panel in masonry-infilled RC
structures can be presented by a single strut model.
• Calibration of the strut model parameters based on the strength
approach is more realistic when compared with the stiffness approach
• The experimentally-based calibration of the strut model parameters
minimizes the error in structural response when compared to strength or
stiffness approaches (which may lead to very large errors).
• The use of a micro-modelling approach as a proxy to the experimental
data to calibrate the strut parameters is able to represent the real
behaviour of the infill panel with a reasonable errors (the error of the
estimated initial stiffness and maximum force is less than 20%).