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作者:

Han, Xu (Han, Xu.) | Liu, Yunan (Liu, Yunan.) | Wang, Lihua (Wang, Lihua.) (学者:王立华)

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EI Scopus SCIE

摘要:

The physical meaning of phase difference controls the occurrence time of peak values of triangular series, which can be abbreviated as peak arrival time. This article describes a method for deducing the correspondence between the energy distribution characteristics in the time domain and the peak arrival time. The variation laws of acceleration time-history curve of natural seismic wave can be transformed into its energy distribution characteristics in time domain. Based on the needs of seismic engineering, this article proposes a conversion formula to describe the relationship between the peak arrival time and the energy distribution characteristics in the time domain. To ensure that the variation laws of acceleration time-history curve of artificial seismic waves are more consistent with those of natural seismic waves, a normal-fitting annealing algorithm is proposed based on the normal-fitting method. The proposed method not only considers the frequency distribution characteristics of the peak arrival time comprehensively but also optimizes the fitting parameters according to the actual situation. The results of all the experimental cases verify the rationality and reliability of the proposed method.

关键词:

annealing algorithm frequency nonstationary feature artificial seismic waves peak arrival time normal distribution fitting

作者机构:

  • [ 1 ] [Han, Xu]Beijing Univ Technol, Coll Architecture & Civil Engn, Beijing, Peoples R China
  • [ 2 ] [Wang, Lihua]Beijing Univ Technol, Coll Architecture & Civil Engn, Beijing, Peoples R China
  • [ 3 ] [Liu, Yunan]Beijing Municipal Inst Labor Protect, Beijing Key Lab Environm Noise & Vibrat, 55 Taoranting Rd, Beijing 100054, Peoples R China

通讯作者信息:

  • [Liu, Yunan]Beijing Municipal Inst Labor Protect, Beijing Key Lab Environm Noise & Vibrat, 55 Taoranting Rd, Beijing 100054, Peoples R China

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来源 :

ADVANCED COMPOSITES LETTERS

ISSN: 0963-6935

年份: 2020

卷: 29

2 . 4 0 0

JCR@2022

ESI学科: MATERIALS SCIENCE;

ESI高被引阀值:169

被引次数:

WoS核心集被引频次: 2

SCOPUS被引频次:

ESI高被引论文在榜: 0 展开所有

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