Physics-Based Scenario Modeling for Earthquake-Soil-Structure Interaction of Buildings


Abstract eng:
To this date, earthquake-soil-structure interaction (ESSI) studies have used detailed models of near surface geology (Yang et al., 2003; Jeremić et al., 2012), with input motions such as planar incident waves or scaled recorded ground motions. There has been no direct inclusion of physics-based finite fault synthetic ground motion in ESSI study cases which simultaneously include nonlinear site and structural response. Ideally a complete ESSI model should include the following: (a) physical model of the source rupture process, (b) propagation of waves through the heterogeneous crust, (c) nonlinear site response, and (d) a detailed structural model of the infrastructure of interest. The domain reduction method (DRM, Yoshimura et al., 2003) reduces the computational demand by replacing the wave propagation inside the crust to only a small neighborhood of interest around the structure, and by applying consistent forces as boundary conditions. These forces are computed from the predicted earthquake wave field, which can be obtained using any method that solves the wave equation at a coarser resolution. Presented is a method which (i) uses the UCSB broadband ground motion simulation method (Schmedes et al., 2013; Crempien and Archuleta, 2015) to produce "scenario" ground motions for analysis, and (ii) uses DRM to input these seismic motions to a model of site and structure. The method is applied to a simple site model which include buildings with different dynamic and geometric properties on the free surface. The structural response and performance metrics such as interstory drift-ratio, maximum floor accelerations, etc., are compared with current modeling strategies.

Contributors:
Conference Title:
Conference Title:
16th World Conference on Earthquake Engineering
Conference Venue:
Santiago (CL)
Conference Dates:
2017-01-09 / 2017-01-13
Rights:
Text je chráněný podle autorského zákona č. 121/2000 Sb.



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 Record created 2017-01-18, last modified 2017-01-18


Original version of the author's contribution as presented on USB, paper 4513.:
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