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Selection and scaling of spectrum-compatible ground motion records using hybrid coded genetic algorithms

2017; Sharif University of Technology; Volume: 24; Issue: 3 Linguagem: Inglês

10.24200/sci.2017.4075

2345-3605

Saman Yaghmaei‐Sabegh, S. Karami, M. Hosseini-Moghadam,

Seismic Performance and Analysis

This paper presents a new searching framework for optimal scaling of earthquake ground motion records as inputs for dynamics analysis. Two hybrid-coded Genetic Algorithms (GA), named real-permutation and binary-permutation GA, are effectively used to solve an applicable optimization problem in earthquake engineering field. Methodologies are outlined to choose a set of ground motions, with a good level of t to the design spectrum, and the corresponding scales simultaneously during a hybrid-coded process. The effects of dierent parameters used in design of algorithms are investigated through sensitivity analysis to suggest a set of proper input values. Analysis showed that the sensitivity of the binary-permutation GA results to input parameters variations is less than that of real-permutation GA. The paper also concludes that binary-permutation GA is slightly more reliable than real-permutation GA; accordingly, it is recommended as asuitable algorithm to select and scale spectrum-compatible ground motion records.