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Synthesizing Strong Motion Using Empirical Green's Function and Genetic Algorithm Approach
The main objective of this article is to present a technique for synthesizing earthquakes at sites around a causative fault using the Empirical Green's Function approach. A Genetic Algorithm is developed for optimally minimizing the differences between response spectra of recorded and simulated time histories. The applicability of the technique is demonstrated through a case study, 2005 Mw6.4 Zarand earthquake. The proposed technique can be used in performance evaluation of existing and/or new important structures at sites around the causative fault on the basis of the requirements prescribed in the standard codes of practice such as FEMA274, FEMA356, and ASCE7-2005.
Synthesizing Strong Motion Using Empirical Green's Function and Genetic Algorithm Approach
The main objective of this article is to present a technique for synthesizing earthquakes at sites around a causative fault using the Empirical Green's Function approach. A Genetic Algorithm is developed for optimally minimizing the differences between response spectra of recorded and simulated time histories. The applicability of the technique is demonstrated through a case study, 2005 Mw6.4 Zarand earthquake. The proposed technique can be used in performance evaluation of existing and/or new important structures at sites around the causative fault on the basis of the requirements prescribed in the standard codes of practice such as FEMA274, FEMA356, and ASCE7-2005.
Synthesizing Strong Motion Using Empirical Green's Function and Genetic Algorithm Approach
Nicknam, Ahmad (Autor:in) / Abbasnia, Reza (Autor:in) / Bozorgnasab, Mohsen (Autor:in) / Eslamian, Yasser (Autor:in)
Journal of Earthquake Engineering ; 14 ; 512-526
01.05.2010
15 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Synthesizing Strong Motion Using Empirical Green's Function and Genetic Algorithm Approach
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