A new procedure modeling the probability distribution of earthquake size

NCUIR > Engineering College > Department of Civil Engineering > journal & Dissertation > Item 987654321/100088

Please use this identifier to cite or link to this item: https://ir.lib.ncu.edu.tw/handle/987654321/100088

Title:	A new procedure modeling the probability distribution of earthquake size
Authors:	王瑞斌;Wang, J.P.;Yun, X.;Chang, S.C.
Contributors:	工學院土木工程學系
Keywords:	Earthquake magnitude density;Excel Solver;Optimization
Date:	2014-11-01
Issue Date:	2026-04-21 13:48:47 (UTC+8)
Publisher:	Elsevier;Elsevier B.V
Abstract:	摘要： The probability distribution of earthquake size is needed as input data for some earthquake analyses. A common procedure is to calibrate the so-called b-value in the Gutenberg–Richter relationship and to use it as the best-estimate model parameter in an algorithm to simulate the observed earthquake-size distribution. This paper introduces a new procedure for such a simulation, on the basis of performing optimization to search for the optimum model parameter. The new option and an existing method are then both utilized to model the earthquake-size distribution around Taiwan since 1978. Owing to the nature and the power of optimization, three case studies presented in this paper all indicate that the new optimization procedure can indeed improve such a simulation over the existing procedure. Moreover, with a proper tool such as Excel Solver, practicing the new method to model the observed earthquake-size distribution is as effortless as using the existing procedure. •A new procedure for the modeling of earthquake-size distribution.•Case studies showing its improved modeling capability over existing methods.•Introduction to the user-friendly Excel application to its computation. 出版者： Elsevier B.V 出版日期： 2014-11-01 出處： Physica A, 2014-11, Vol.413, p.385-393 版權： 2014 Elsevier B.V. 識別號： ISSN: 0378-4371 識別號： EISSN: 1873-2119 識別號： DOI: 10.1016/j.physa.2014.06.072
Appears in Collections:	[Department of Civil Engineering] journal & Dissertation

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