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A probabilistic approach for seismic demand estimation of steel moment frames considering capacity uncertainty
https://orcid.org/http://orcid.org/0000-0001-7128-1717
Seismic demand estimation of steel moment-resisting frames (SMRF) is a function of uncertainties caused by using different ground motion records and capacity uncertainty due to the uncertainties of construction quality and model parameters that are usually obtained from a limited number of experimental data. To study the effect of capacity uncertainty, a set of SMRF was analyzed through incremental dynamic analysis (IDA) for two cases with and without such uncertainty. Latin hypercube sampling is used to consider the model's parameter uncertainty through the Monte Carlo simulation method. The fragility curves and the mean annual frequency (MAF) of the limit state for each case were extracted and the results have been compared. Moreover, the impact of construction quality on the estimation of MAF curves has been investigated. The results confirm the considerable effect of capacity uncertainty on increasing MAF at the collapse limit state.
A probabilistic approach for seismic demand estimation of steel moment frames considering capacity uncertainty
https://orcid.org/http://orcid.org/0000-0001-7128-1717
Seismic demand estimation of steel moment-resisting frames (SMRF) is a function of uncertainties caused by using different ground motion records and capacity uncertainty due to the uncertainties of construction quality and model parameters that are usually obtained from a limited number of experimental data. To study the effect of capacity uncertainty, a set of SMRF was analyzed through incremental dynamic analysis (IDA) for two cases with and without such uncertainty. Latin hypercube sampling is used to consider the model's parameter uncertainty through the Monte Carlo simulation method. The fragility curves and the mean annual frequency (MAF) of the limit state for each case were extracted and the results have been compared. Moreover, the impact of construction quality on the estimation of MAF curves has been investigated. The results confirm the considerable effect of capacity uncertainty on increasing MAF at the collapse limit state.
A probabilistic approach for seismic demand estimation of steel moment frames considering capacity uncertainty
https://orcid.org/http://orcid.org/0000-0001-7128-1717
Seismic demand estimation of steel moment-resisting frames (SMRF) is a function of uncertainties caused by using different ground motion records and capacity uncertainty due to the uncertainties of construction quality and model parameters that are usually obtained from a limited number of experimental data. To study the effect of capacity uncertainty, a set of SMRF was analyzed through incremental dynamic analysis (IDA) for two cases with and without such uncertainty. Latin hypercube sampling is used to consider the model's parameter uncertainty through the Monte Carlo simulation method. The fragility curves and the mean annual frequency (MAF) of the limit state for each case were extracted and the results have been compared. Moreover, the impact of construction quality on the estimation of MAF curves has been investigated. The results confirm the considerable effect of capacity uncertainty on increasing MAF at the collapse limit state.
A probabilistic approach for seismic demand estimation of steel moment frames considering capacity uncertainty
Asian J Civ Eng
Yancheshmeh, Behzad Shokrollahi (author) / Adeli, Mehdi Mahdavi (author)
Asian Journal of Civil Engineering ; 24 ; 2669-2691
2023-11-01
23 pages
Article (Journal)
Electronic Resource
English
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