000013328 001__ 13328
000013328 005__ 20161114160336.0
000013328 04107 $$aeng
000013328 046__ $$k2009-06-22
000013328 100__ $$aWilliamson, E.
000013328 24500 $$aApproximate analysis methods and the role of slabs in modeling structural collapse

000013328 24630 $$n2.$$pComputational Methods in Structural Dynamics and Earhquake Engineering
000013328 260__ $$bNational Technical University of Athens, 2009
000013328 506__ $$arestricted
000013328 520__ $$2eng$$aFollowing the collapse of the Murrah Building in Oklahoma City in 1995 and the attacks on the World Trade Center in 2001, there has been a resurgence in the structural engineering community to develop an improved understanding of the structural details and response mechanisms that determine the collapse potential of different types of structural systems. Given the complexity of this topic and the costs associated with physical testing, limited experimental data are available for indicating the precise mechanisms that take place during a collapse event. As such, research on this topic has been primarily computational in nature. Predictions of response, however, can only be as good as the models that are used to capture structural behavior. To date, most research related to the modeling of structures undergoing collapse has focused primarily on structural frame members, and limited attention has been given to the role played by floor slabs in mitigating collapse. An accurate assessment of performance requires that floor slabs be considered explicitly in analysis models. In this paper, the authors address the importance of accounting for floor slab contributions in carrying out collapse simulations of structures. Modeling approaches include simplified “equivalent frame” models and high-fidelity finite element models. Preliminary findings suggest that floor slab contributions to collapse resistance are significant and should be accounted for when assessing the performance of structures.

000013328 540__ $$aText je chráněný podle autorského zákona č. 121/2000 Sb.
000013328 653__ $$aProgressive Collapse, Computational Modeling, Nonlinear Response. Abstract. Following the collapse of the Murrah Building in Oklahoma City in 1995 and the attacks on the World Trade Center in 2001, there has been a resurgence in the structural engineering community to develop an improved understanding of the structural details and response mechanisms that determine the collapse potential of different types of structural systems. Given the complexity of this topic and the costs associated with physical testing, limited experimental data are available for indicating the precise mechanisms that take place during a collapse event. As such, research on this topic has been primarily computational in nature. Predictions of response, however, can only be as good as the models that are used to capture structural behavior. To date, most research related to the modeling of structures undergoing collapse has focused primarily on structural frame members, and limited attention has been given to the role played by floor slabs in mitigating collapse. An accurate assessment of performance requires that floor slabs be considered explicitly in analysis models. In this paper, the authors address the importance of accounting for floor slab contributions in carrying out collapse simulations of structures. Modeling approaches include simplified “equivalent frame” models and high-fidelity finite element models. Preliminary findings suggest that floor slab contributions to collapse resistance are significant and should be accounted for when assessing the performance of structures.

000013328 7112_ $$aCOMPDYN 2009 - 2nd International Thematic Conference$$cIsland of Rhodes (GR)$$d2009-06-22 / 2009-06-24$$gCOMPDYN2009
000013328 720__ $$aWilliamson, E.$$iWilliams, G.$$iStevens, D.
000013328 8560_ $$ffischerc@itam.cas.cz
000013328 8564_ $$s1008444$$uhttps://invenio.itam.cas.cz/record/13328/files/CD481.pdf$$yOriginal version of the author's contribution as presented on CD, section: Progress and challenges in collapse prediction - ii (MS).
000013328 962__ $$r13074
000013328 980__ $$aPAPER