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Progressive collapse fragility models of European reinforced concrete framed buildings based on pushdown analysis
HighlightsProgressive collapse vulnerability of European RC framed buildings was investigated.Fiber modeling and pushdown analysis were integrated with Monte Carlo simulation.Statistical capacity curves and fragility models were derived through pushdown analysis.Regression models for prediction of dynamic amplification factor were developed.The inaccuracy of pushdown-based fragility models was evaluated.
AbstractStructural safety for extreme loads that may cause local damage to single primary components or even the progressive collapse of the structure has been probabilistically assessed in a few studies, hence neglecting uncertainties in loads and system capacity. As such, this paper moves from a deterministic to a probabilistic framework, proposing new progressive collapse fragility models based on pushdown analysis of low-rise, reinforced concrete framed bare structures. Two building classes representative of structures designed for either gravity loads or earthquake resistance in accordance with current European codes were investigated. Monte Carlo simulation was used to generate random realizations of 2D and 3D structural models. Fiber-based finite element models were developed within an open source platform. The primary output consisted of fragility functions for each damage state of interest, given the loss of corner column at the ground floor. The fragility models were compared to those derived through incremental dynamic analysis (IDA) to assess the inaccuracy of progressive collapse fragility functions derived through pushdown analysis. Load capacity predictions provided by those analysis methods were used to develop regression models for a quick estimation of dynamic amplification factor at a given displacement/drift level. The analysis results show a significant influence of both seismic design and secondary beams on robustness of the case-study building classes.
Progressive collapse fragility models of European reinforced concrete framed buildings based on pushdown analysis
HighlightsProgressive collapse vulnerability of European RC framed buildings was investigated.Fiber modeling and pushdown analysis were integrated with Monte Carlo simulation.Statistical capacity curves and fragility models were derived through pushdown analysis.Regression models for prediction of dynamic amplification factor were developed.The inaccuracy of pushdown-based fragility models was evaluated.
AbstractStructural safety for extreme loads that may cause local damage to single primary components or even the progressive collapse of the structure has been probabilistically assessed in a few studies, hence neglecting uncertainties in loads and system capacity. As such, this paper moves from a deterministic to a probabilistic framework, proposing new progressive collapse fragility models based on pushdown analysis of low-rise, reinforced concrete framed bare structures. Two building classes representative of structures designed for either gravity loads or earthquake resistance in accordance with current European codes were investigated. Monte Carlo simulation was used to generate random realizations of 2D and 3D structural models. Fiber-based finite element models were developed within an open source platform. The primary output consisted of fragility functions for each damage state of interest, given the loss of corner column at the ground floor. The fragility models were compared to those derived through incremental dynamic analysis (IDA) to assess the inaccuracy of progressive collapse fragility functions derived through pushdown analysis. Load capacity predictions provided by those analysis methods were used to develop regression models for a quick estimation of dynamic amplification factor at a given displacement/drift level. The analysis results show a significant influence of both seismic design and secondary beams on robustness of the case-study building classes.
Progressive collapse fragility models of European reinforced concrete framed buildings based on pushdown analysis
Brunesi, Emanuele (author) / Parisi, Fulvio (author)
Engineering Structures ; 152 ; 579-596
2017-09-21
18 pages
Article (Journal)
Electronic Resource
English
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