000013337 001__ 13337
000013337 005__ 20161114160337.0
000013337 04107 $$aeng
000013337 046__ $$k2009-06-22
000013337 100__ $$aHaselton C., B.
000013337 24500 $$aImportant issues and suggested best practices in simulating structural collapse due to earthquakes: modeling decisions, model calibration, numerical solution algorithms, and uncertainty propagation

000013337 24630 $$n2.$$pComputational Methods in Structural Dynamics and Earhquake Engineering
000013337 260__ $$bNational Technical University of Athens, 2009
000013337 506__ $$arestricted
000013337 520__ $$2eng$$aThis paper discusses the key aspects of simulating structural collapse due to earthquakes using nonlinear dynamic analysis. Emphasis is on specific modeling assumptions associated with the significant strength and stiffness degradation up to the onset of collapse. Various approaches to calibrate models to experimental data are examined to illustrate the importance of accurately distinguishing between in-cycle versus cyclic strength and stiffness deterioration. A key challenge in this regard is that existing experimental data is often insufficient to uniquely calibrate nonlinear models, such that considerable judgment must be exercised in the model calibration. The paper also discusses numerical solution algorithms for obtaining robust, reasonable simulations of collapse, and techniques for avoiding numerical problems associated with a sparse mass matrix. The paper closes with notes on some of the future research needs to simulating structural collapse.

000013337 540__ $$aText je chráněný podle autorského zákona č. 121/2000 Sb.
000013337 653__ $$aCollapse, simulation, model decisions, calibration, solution algorithm, modeling uncertainties. Abstract. This paper discusses the key aspects of simulating structural collapse due to earthquakes using nonlinear dynamic analysis. Emphasis is on specific modeling assumptions associated with the significant strength and stiffness degradation up to the onset of collapse. Various approaches to calibrate models to experimental data are examined to illustrate the importance of accurately distinguishing between in-cycle versus cyclic strength and stiffness deterioration. A key challenge in this regard is that existing experimental data is often insufficient to uniquely calibrate nonlinear models, such that considerable judgment must be exercised in the model calibration. The paper also discusses numerical solution algorithms for obtaining robust, reasonable simulations of collapse, and techniques for avoiding numerical problems associated with a sparse mass matrix. The paper closes with notes on some of the future research needs to simulating structural collapse.

000013337 7112_ $$aCOMPDYN 2009 - 2nd International Thematic Conference$$cIsland of Rhodes (GR)$$d2009-06-22 / 2009-06-24$$gCOMPDYN2009
000013337 720__ $$aHaselton C., B.$$iLiel A., B.$$iDeierlein G., G.
000013337 8560_ $$ffischerc@itam.cas.cz
000013337 8564_ $$s736037$$uhttps://invenio.itam.cas.cz/record/13337/files/CD497.pdf$$yOriginal version of the author's contribution as presented on CD, section: Progress and challenges in collapse prediction - ii (MS).
000013337 962__ $$r13074
000013337 980__ $$aPAPER