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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Main Authors: Huiguo Chen, Ting Zhong, Guocui Liu, Junru Ren
Format: Article
Language:English
Published: Wiley 2017-01-01
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.
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institution Kabale University
issn 1070-9622
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language English
publishDate 2017-01-01
publisher Wiley
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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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AT tingzhong improvementofandparameteridentificationforthebimodaltimevaryingmodifiedkanaitajimipowerspectralmodel
AT guocuiliu improvementofandparameteridentificationforthebimodaltimevaryingmodifiedkanaitajimipowerspectralmodel
AT junruren improvementofandparameteridentificationforthebimodaltimevaryingmodifiedkanaitajimipowerspectralmodel