000013366 001__ 13366
000013366 005__ 20161114160338.0
000013366 04107 $$aeng
000013366 046__ $$k2009-06-22
000013366 100__ $$aWei, Li
000013366 24500 $$aNonlinear ground and structural response variability due to soil response modeling uncertainty

000013366 24630 $$n2.$$pComputational Methods in Structural Dynamics and Earhquake Engineering
000013366 260__ $$bNational Technical University of Athens, 2009
000013366 506__ $$arestricted
000013366 520__ $$2eng$$aLimited guidance exists both in engineering practice and seismology regarding the mathematical model to be employed for the computationally efficient evaluation of site response. The soil model affects the prediction of ground motion at the surface and consequently is an additional source of uncertainty for the structural response predictions. We combine downhole observations and broadband ground motion synthetics for characteristic site conditions in the Los Angeles Basin, and we investigate the variability in ground motion and structural performance introduced by the site response assessment methodology. More specifically, we conduct elastic, equivalent linear and nonlinear site response simulations, and evaluate the ground surface response variability resulting from the selection of the soil response methodology. We quantify the variability by means of the COV of site amplification factors, defined as the ratio of the predicted peak ground acceleration and spectral acceleration at short and long periods to the corresponding ground motion intensity measure on rock-outcrop. Finally, a series of inelastic single-degree-of-freedom oscillators are subjected to the ground motion predictions obtained via the alternative site response methodologies. The results show that large sensitivity in the selection of site response methodology yields high bias and uncertainty in the assessment of the inelastic displacement ratio for nonlinear structural response predictions.

000013366 540__ $$aText je chráněný podle autorského zákona č. 121/2000 Sb.
000013366 653__ $$aNonlinear soil, structural performance, site response, broadband ground motion. Abstract. Limited guidance exists both in engineering practice and seismology regarding the mathematical model to be employed for the computationally efficient evaluation of site response. The soil model affects the prediction of ground motion at the surface and consequently is an additional source of uncertainty for the structural response predictions. We combine downhole observations and broadband ground motion synthetics for characteristic site conditions in the Los Angeles Basin, and we investigate the variability in ground motion and structural performance introduced by the site response assessment methodology. More specifically, we conduct elastic, equivalent linear and nonlinear site response simulations, and evaluate the ground surface response variability resulting from the selection of the soil response methodology. We quantify the variability by means of the COV of site amplification factors, defined as the ratio of the predicted peak ground acceleration and spectral acceleration at short and long periods to the corresponding ground motion intensity measure on rock-outcrop. Finally, a series of inelastic single-degree-of-freedom oscillators are subjected to the ground motion predictions obtained via the alternative site response methodologies. The results show that large sensitivity in the selection of site response methodology yields high bias and uncertainty in the assessment of the inelastic displacement ratio for nonlinear structural response predictions.

000013366 7112_ $$aCOMPDYN 2009 - 2nd International Thematic Conference$$cIsland of Rhodes (GR)$$d2009-06-22 / 2009-06-24$$gCOMPDYN2009
000013366 720__ $$aWei, Li$$iAssimaki, D.$$iFragiadakis, M.
000013366 8560_ $$ffischerc@itam.cas.cz
000013366 8564_ $$s1769759$$uhttps://invenio.itam.cas.cz/record/13366/files/CD541.pdf$$yOriginal version of the author's contribution as presented on CD, section: Computational methods in geotechnical earthquake engineering - i.
000013366 962__ $$r13074
000013366 980__ $$aPAPER