Kriging metamodeling in seismic risk assessment based on stochastic ground motion models-Reference-Cited by-同舟云学术

Kriging metamodeling in seismic risk assessment based on stochastic ground motion models

Published:2015-05-12 Issue:14 Volume:44 Page:2377-2399
ISSN:0098-8847
Container-title:Earthquake Engineering & Structural Dynamics
language:en
Short-container-title:Earthquake Engng Struct. Dyn.

Author:

Gidaris Ioannis¹,Taflanidis Alexandros A.¹,Mavroeidis George P.¹

Affiliation:

1. Department of Civil and Environmental Engineering and Earth Sciences; University of Notre Dame; Notre Dame IN 46556 USA

Publisher

Wiley

Subject

Earth and Planetary Sciences (miscellaneous),Geotechnical Engineering and Engineering Geology

Reference54 articles.

1. Simulation of ground motion using the stochastic method;Boore;Pure and Applied Geophysics,2003

2. Simulation of spatially varying ground motions including incoherence, wave-passage and differential site-response effects;Kiureghian;Earthquake Engineering and Structural Dynamics,2011

3. Simulation of synthetic ground motions for specified earthquake and site characteristics;Rezaeian;Earthquake Engineering and Structural Dynamics,2010

4. On the effects of non-linear elements in the reliability-based optimal design of stochastic dynamical systems;Jensen;International Journal of Non-Linear Mechanics,2007

5. Life-cycle cost optimal design of passive dissipative devices;Taflanidis;Structural Safety,2009

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