Experimental Fragility Curves for Seismic Response of Reinforced Concrete Bridge Columns
Data from 32 bridge column models mostly tested on shake tables were used to develop fragility curves for six seismic response parameters at five apparent damage states (DSs). The response parameters were defined in terms of displacements, internal strains, and fundamental frequencies and were corre...
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Veröffentlicht in: | ACI structural journal 2012-11, Vol.109 (6), p.825 |
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description | Data from 32 bridge column models mostly tested on shake tables were used to develop fragility curves for six seismic response parameters at five apparent damage states (DSs). The response parameters were defined in terms of displacements, internal strains, and fundamental frequencies and were correlated with the DSs. The fragility analysis approach was used to characterize the correlations, considering the effect of scatter on the data. Fragility functions took the form of lognormal cumulative distribution functions defined with a median value and a logarithmic standard deviation. The Smirnov-Kolmogorov goodness-of-fit test with a 90% level of confidence was used as an acceptance criterion for lognormal distribution in the experimental data. A probabilistic performancebased design (PPBD) of reinforced concrete (RC) bridge columns using the fragility curves was developed. Furthermore, the application of fragility curves in probabilistic performance-based assessment (PPBA) of RC bridge columns was illustrated. [PUBLICATION ABSTRACT] |
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The response parameters were defined in terms of displacements, internal strains, and fundamental frequencies and were correlated with the DSs. The fragility analysis approach was used to characterize the correlations, considering the effect of scatter on the data. Fragility functions took the form of lognormal cumulative distribution functions defined with a median value and a logarithmic standard deviation. The Smirnov-Kolmogorov goodness-of-fit test with a 90% level of confidence was used as an acceptance criterion for lognormal distribution in the experimental data. A probabilistic performancebased design (PPBD) of reinforced concrete (RC) bridge columns using the fragility curves was developed. Furthermore, the application of fragility curves in probabilistic performance-based assessment (PPBA) of RC bridge columns was illustrated. 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The response parameters were defined in terms of displacements, internal strains, and fundamental frequencies and were correlated with the DSs. The fragility analysis approach was used to characterize the correlations, considering the effect of scatter on the data. Fragility functions took the form of lognormal cumulative distribution functions defined with a median value and a logarithmic standard deviation. The Smirnov-Kolmogorov goodness-of-fit test with a 90% level of confidence was used as an acceptance criterion for lognormal distribution in the experimental data. A probabilistic performancebased design (PPBD) of reinforced concrete (RC) bridge columns using the fragility curves was developed. Furthermore, the application of fragility curves in probabilistic performance-based assessment (PPBA) of RC bridge columns was illustrated. [PUBLICATION ABSTRACT]</abstract><cop>Farmington Hills</cop><pub>American Concrete Institute</pub><doi>10.14359/51684126</doi></addata></record> |
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subjects | Design Earthquakes Reinforced concrete Studies |
title | Experimental Fragility Curves for Seismic Response of Reinforced Concrete Bridge Columns |
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