Improvement of and Parameter Identification for the Bimodal Time-Varying Modified Kanai-Tajimi Power Spectral Model
Based on the Kanai-Tajimi power spectrum filtering method proposed by Du Xiuli et al., a genetic algorithm and a quadratic optimization identification technique are employed to improve the bimodal time-varying modified Kanai-Tajimi power spectral model and the parameter identification method propose...
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Format: | Article |
Language: | English |
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Wiley
2017-01-01
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Series: | Shock and Vibration |
Online Access: | http://dx.doi.org/10.1155/2017/7615863 |
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author | Huiguo Chen Ting Zhong Guocui Liu Junru Ren |
author_facet | Huiguo Chen Ting Zhong Guocui Liu Junru Ren |
author_sort | Huiguo Chen |
collection | DOAJ |
description | Based on the Kanai-Tajimi power spectrum filtering method proposed by Du Xiuli et al., a genetic algorithm and a quadratic optimization identification technique are employed to improve the bimodal time-varying modified Kanai-Tajimi power spectral model and the parameter identification method proposed by Vlachos et al. Additionally, a method for modeling time-varying power spectrum parameters for ground motion is proposed. The 8244 Orion and Chi-Chi earthquake accelerograms are selected as examples for time-varying power spectral model parameter identification and ground motion simulations to verify the feasibility and effectiveness of the improved bimodal time-varying modified Kanai-Tajimi power spectral model. The results of this study provide important references for designing ground motion inputs for seismic analyses of major engineering structures. |
format | Article |
id | doaj-art-17fbbdbb81984bbc8ff124a76b580248 |
institution | Kabale University |
issn | 1070-9622 1875-9203 |
language | English |
publishDate | 2017-01-01 |
publisher | Wiley |
record_format | Article |
series | Shock and Vibration |
spelling | doaj-art-17fbbdbb81984bbc8ff124a76b5802482025-02-03T01:32:56ZengWileyShock and Vibration1070-96221875-92032017-01-01201710.1155/2017/76158637615863Improvement of and Parameter Identification for the Bimodal Time-Varying Modified Kanai-Tajimi Power Spectral ModelHuiguo Chen0Ting Zhong1Guocui Liu2Junru Ren3Department of Civil Engineering, Logistical Engineering University, Chongqing 401311, ChinaDepartment of Civil Engineering, Logistical Engineering University, Chongqing 401311, ChinaDepartment of Civil Engineering, Logistical Engineering University, Chongqing 401311, ChinaDepartment of Civil Engineering, Logistical Engineering University, Chongqing 401311, ChinaBased on the Kanai-Tajimi power spectrum filtering method proposed by Du Xiuli et al., a genetic algorithm and a quadratic optimization identification technique are employed to improve the bimodal time-varying modified Kanai-Tajimi power spectral model and the parameter identification method proposed by Vlachos et al. Additionally, a method for modeling time-varying power spectrum parameters for ground motion is proposed. The 8244 Orion and Chi-Chi earthquake accelerograms are selected as examples for time-varying power spectral model parameter identification and ground motion simulations to verify the feasibility and effectiveness of the improved bimodal time-varying modified Kanai-Tajimi power spectral model. The results of this study provide important references for designing ground motion inputs for seismic analyses of major engineering structures.http://dx.doi.org/10.1155/2017/7615863 |
spellingShingle | Huiguo Chen Ting Zhong Guocui Liu Junru Ren Improvement of and Parameter Identification for the Bimodal Time-Varying Modified Kanai-Tajimi Power Spectral Model Shock and Vibration |
title | Improvement of and Parameter Identification for the Bimodal Time-Varying Modified Kanai-Tajimi Power Spectral Model |
title_full | Improvement of and Parameter Identification for the Bimodal Time-Varying Modified Kanai-Tajimi Power Spectral Model |
title_fullStr | Improvement of and Parameter Identification for the Bimodal Time-Varying Modified Kanai-Tajimi Power Spectral Model |
title_full_unstemmed | Improvement of and Parameter Identification for the Bimodal Time-Varying Modified Kanai-Tajimi Power Spectral Model |
title_short | Improvement of and Parameter Identification for the Bimodal Time-Varying Modified Kanai-Tajimi Power Spectral Model |
title_sort | improvement of and parameter identification for the bimodal time varying modified kanai tajimi power spectral model |
url | http://dx.doi.org/10.1155/2017/7615863 |
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