Development of a compound intensity measure using partial least-squares regression and its statistical evaluation based on probabilistic seismic demand analysis
作者: Ting-Ting LiuDa-Gang LuXiao-Hui Yu
作者单位: 1School of Civil Engineering, Harbin Institute of Technology, Harbin, 150090, China
2Key Lab of Structures Dynamic Behavior and Control of the Ministry of Education, Harbin Institute of Technology, Harbin, 150090, China
3Key Lab of Smart Prevention and Mitigation of Civil Engineering Disasters of the Ministry of Industry and Information Technology, Harbin Institute of Technology, Harbin, 150090, China
刊名: Soil Dynamics and Earthquake Engineering, 2019, Vol.125
来源数据库: Elsevier Journal
DOI: 10.1016/j.soildyn.2019.105725
关键词: Partial least-squares regressionCompound intensity measureSDOF systemsProbabilistic seismic demand analysisStructural responses
原始语种摘要: Abstract(#br)The primary motivation of this study is to develop a compound intensity measure by partial least-squares regression (PLSR) model and evaluate the compound intensity measure based on probabilistic seismic demand analysis. To illustrate this, the compound intensity measure, which can be obtained by a linear combination of six intensity measures in the log-scale, is assessed by using the nonlinear time-history analyses of the single-degree-of-freedom (SDOF) systems represented by four types of hysteretic models under a suite of 98 natural ground motion records. The compound intensity measure is developed by a multivariate regression model to investigate the potential for practical implementation offered by SDOF systems in the entire period ranges. It is observed that the...
全文获取路径: Elsevier  (合作)
影响因子:1.276 (2012)

  • 局部的 测度
  • probabilistic 概率的
  • demand 需用电力
  • regression 海退
  • statistical 统计的
  • seismic 地震的
  • evaluation 评价
  • intensity 强度
  • measure 测度
  • partial 测度
  • analysis 分析