Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Model uncertainty quantification for column removal scenario calculations using the energy-based method
Progressive collapse resistance of a building structure is often investigated by the notional removal of one or more vertical load bearing elements from the structural system. Usually, a nonlinear dynamic analysis is needed to perform such an analysis. To avoid the complex nonlinear dynamic analysis, the energy-based method (EBM) is a promising method to predict the maximum dynamic responses of a structural system, where the dynamic load-bearing capacity curve is derived from the static load-displacement curve based on the principle of energy conservation. In this contribution, the performance of the EBM is evaluated based on a validated finite element model of a tested RC slab. Subsequently, 60 samples are generated by using Latin Hypercube Sampling (LHS), taking into account probability distributions for the most important variables. Both static analyses and direct dynamic analyses are executed for every sample set. Based on the results of the stochastic analyses, the EBM is observed to perform well. Furthermore, in the analyzed case study, the model uncertainty of the ultimate load bearing capacity obtained through the EBM compared to direct dynamic analysis is found to be represented well by a lognormal distribution with mean (i.e. bias) of 0.96 and a standard deviation of 0.13. Model uncertainties are also obtained in relation to ultimate displacements and displacements at different load levels.
Model uncertainty quantification for column removal scenario calculations using the energy-based method
Progressive collapse resistance of a building structure is often investigated by the notional removal of one or more vertical load bearing elements from the structural system. Usually, a nonlinear dynamic analysis is needed to perform such an analysis. To avoid the complex nonlinear dynamic analysis, the energy-based method (EBM) is a promising method to predict the maximum dynamic responses of a structural system, where the dynamic load-bearing capacity curve is derived from the static load-displacement curve based on the principle of energy conservation. In this contribution, the performance of the EBM is evaluated based on a validated finite element model of a tested RC slab. Subsequently, 60 samples are generated by using Latin Hypercube Sampling (LHS), taking into account probability distributions for the most important variables. Both static analyses and direct dynamic analyses are executed for every sample set. Based on the results of the stochastic analyses, the EBM is observed to perform well. Furthermore, in the analyzed case study, the model uncertainty of the ultimate load bearing capacity obtained through the EBM compared to direct dynamic analysis is found to be represented well by a lognormal distribution with mean (i.e. bias) of 0.96 and a standard deviation of 0.13. Model uncertainties are also obtained in relation to ultimate displacements and displacements at different load levels.
Model uncertainty quantification for column removal scenario calculations using the energy-based method
Ding, Luchuan (Autor:in) / Botte, Wouter (Autor:in) / Van Coile, Ruben (Autor:in) / Caspeele, Robby (Autor:in) / Gatuingt, Fabrice / Torrenti, Jean-Michel
01.01.2020
Proceedings of the 2020 session of the 13th fib International PhD Symposium in Civil Engineering ; ISSN: 2617-4820 ; ISBN: 9782940643066
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
DDC:
690
Behaviour of shear tab connections in column removal scenario
| British Library Online Contents | 2017
Modeling of Reinforced Concrete Assemblies under Column-Removal Scenario
| British Library Online Contents | 2014
Behaviour of shear tab connections in column removal scenario
| Online Contents | 2017
Modeling of Reinforced Concrete Assemblies under Column-Removal Scenario
| Online Contents | 2014