000013344 001__ 13344
000013344 005__ 20161114160337.0
000013344 04107 $$aeng
000013344 046__ $$k2009-06-22
000013344 100__ $$aZareian, F.
000013344 24500 $$aQuantification of modeling uncertainties for collapse assessment of structural systems under seismic excitations

000013344 24630 $$n2.$$pComputational Methods in Structural Dynamics and Earhquake Engineering
000013344 260__ $$bNational Technical University of Athens, 2009
000013344 506__ $$arestricted
000013344 520__ $$2eng$$aThis paper discusses the effect of modeling uncertainties on the collapse potential of steel moment-resisting frames using simple mathematical models denoted as “generic moment-resisting frames.” The collapse potential is represented by the probability of collapse given the value of ground motion intensity measure. In this study, collapse capacity of the structural system subjected to a single ground motion is defined as the spectral acceleration at the first mode period at which the building will become dynamically unstable. The statistical information about variation in the deterioration parameters of components of the frames are extracted from recently developed databases for component deterioration modeling. Variables studied include plastic hinge rotation capacity, post-capping rotation capacity and cyclic deterioration of components. It is shown that uncertainty in estimation of plastic hinge rotation capacity has the largest effect on uncertainty in collapse capacity of the structures studies. This uncertainty is in the order of 0.16 once plastic hinge rotation capacity is considered as the only variable parameter compared to the value of 0.20 once all three parameters are considered as uncertain. These estimates of uncertainty in collapse capacity are smaller than the values obtained by utilizing Monte Carlo simulation based on a case study of a steel moment resisting frame designed with recent seismic code provisions. The difference in results is attributed to larger P-Δ effects in generic moment resisting frames.

000013344 540__ $$aText je chráněný podle autorského zákona č. 121/2000 Sb.
000013344 653__ $$aSidesway Collapse, Modeling Uncertainty, record to record variability, seismic excitations Abstract. This paper discusses the effect of modeling uncertainties on the collapse potential of steel moment-resisting frames using simple mathematical models denoted as “generic moment-resisting frames.” The collapse potential is represented by the probability of collapse given the value of ground motion intensity measure. In this study, collapse capacity of the structural system subjected to a single ground motion is defined as the spectral acceleration at the first mode period at which the building will become dynamically unstable. The statistical information about variation in the deterioration parameters of components of the frames are extracted from recently developed databases for component deterioration modeling. Variables studied include plastic hinge rotation capacity, post-capping rotation capacity and cyclic deterioration of components. It is shown that uncertainty in estimation of plastic hinge rotation capacity has the largest effect on uncertainty in collapse capacity of the structures studies. This uncertainty is in the order of 0.16 once plastic hinge rotation capacity is considered as the only variable parameter compared to the value of 0.20 once all three parameters are considered as uncertain. These estimates of uncertainty in collapse capacity are smaller than the values obtained by utilizing Monte Carlo simulation based on a case study of a steel moment resisting frame designed with recent seismic code provisions. The difference in results is attributed to larger P-Δ effects in generic moment resisting frames.

000013344 7112_ $$aCOMPDYN 2009 - 2nd International Thematic Conference$$cIsland of Rhodes (GR)$$d2009-06-22 / 2009-06-24$$gCOMPDYN2009
000013344 720__ $$aZareian, F.$$iLignos D., G.$$iKrawinkler, H.
000013344 8560_ $$ffischerc@itam.cas.cz
000013344 8564_ $$s658522$$uhttps://invenio.itam.cas.cz/record/13344/files/CD508.pdf$$yOriginal version of the author's contribution as presented on CD, section: Progress and challenges in collapse prediction - ii (MS).
000013344 962__ $$r13074
000013344 980__ $$aPAPER