000013304 001__ 13304
000013304 005__ 20161114160335.0
000013304 04107 $$aeng
000013304 046__ $$k2009-06-22
000013304 100__ $$aKrawinkler, H.
000013304 24500 $$aPrediction of collapse of structures under earthquake excitations

000013304 24630 $$n2.$$pComputational Methods in Structural Dynamics and Earhquake Engineering
000013304 260__ $$bNational Technical University of Athens, 2009
000013304 506__ $$arestricted
000013304 520__ $$2eng$$aThis paper presents a summary of the state of knowledge in structural component and system modeling for predicting the collapse potential of buildings structural systems. Collapse is defined here as the loss of ability of a structural system to resist gravity loads in the presence of seismic effects. In this context, collapse implies dynamic instability in a sidesway mode, usually triggered by large story drifts that are amplified by structure P- effects and deterioration in strength and stiffness of the components of the system. Realistic modeling of deterioration is found to be the most essential aspect of collapse prediction through nonlinear dynamic analysis. The collapse capacity of a building is defined as the maximum ground motion intensity (often represented by the spectral acceleration at the first mode period) at which the structural system still maintains dynamic stability. Different ground motions will lead to different collapse capacities because of the inherent record-to-record (RTR) variability. A collapse fragility curve that incorporates aleatory uncertainty due to RTR variability is obtained by ordering the collapse capacities for a representative set of ground motions. Additional dispersion of the collapse fragility curve is caused by epistemic uncertainties due to modeling assumptions and variability in the parameters on which analytical predictions are based. The collapse potential of a building can be expressed as the probability of collapse at a discrete hazard level or the mean annual frequency of collapse, both of which can be computed from the collapse fragility curve and the corresponding hazard curve for the site of the structure.

000013304 540__ $$aText je chráněný podle autorského zákona č. 121/2000 Sb.
000013304 653__ $$aCollapse prediction, deterioration modeling, nonlinear dynamic analysis, P-Delta, collapse fragility, probability of collapse. Abstract. This paper presents a summary of the state of knowledge in structural component and system modeling for predicting the collapse potential of buildings structural systems. Collapse is defined here as the loss of ability of a structural system to resist gravity loads in the presence of seismic effects. In this context, collapse implies dynamic instability in a sidesway mode, usually triggered by large story drifts that are amplified by structure P- effects and deterioration in strength and stiffness of the components of the system. Realistic modeling of deterioration is found to be the most essential aspect of collapse prediction through nonlinear dynamic analysis. The collapse capacity of a building is defined as the maximum ground motion intensity (often represented by the spectral acceleration at the first mode period) at which the structural system still maintains dynamic stability. Different ground motions will lead to different collapse capacities because of the inherent record-to-record (RTR) variability. A collapse fragility curve that incorporates aleatory uncertainty due to RTR variability is obtained by ordering the collapse capacities for a representative set of ground motions. Additional dispersion of the collapse fragility curve is caused by epistemic uncertainties due to modeling assumptions and variability in the parameters on which analytical predictions are based. The collapse potential of a building can be expressed as the probability of collapse at a discrete hazard level or the mean annual frequency of collapse, both of which can be computed from the collapse fragility curve and the corresponding hazard curve for the site of the structure.

000013304 7112_ $$aCOMPDYN 2009 - 2nd International Thematic Conference$$cIsland of Rhodes (GR)$$d2009-06-22 / 2009-06-24$$gCOMPDYN2009
000013304 720__ $$aKrawinkler, H.$$iZareian, F.$$iLignos D., G.$$iIbarra L., F.
000013304 8560_ $$ffischerc@itam.cas.cz
000013304 8564_ $$s467708$$uhttps://invenio.itam.cas.cz/record/13304/files/CD449.pdf$$yOriginal version of the author's contribution as presented on CD, section: Plenary lectures - i.
000013304 962__ $$r13074
000013304 980__ $$aPAPER