摘要
为了研究出可以在振动台实验中用于计算土体位移及土中结构位移的方法,采用振动台实验进行分析研究。在实验当中同时布置加速度传感器和拉线位移计,实验地基土为上软下硬的分层土,群桩基础包含9根长1.35 m、直径0.1 m的基桩,上部结构为核岛模型。通过加速度传感器和拉线位移计的实验数据分析自适应最小二乘支持向量机加速度积分方法。将该方法的计算结果与已有的高通滤波加速度积分方法的计算结果作比较。在分析计算结果时引入了相对均方误差和相对峰值误差的概念来消除振动台输入地震动幅值大小对计算结果误差分析的影响。通过对新方法的计算结果与已有的高通滤波加速度积分方法的计算结果进行误差分析与比较,证明了新方法的可行性与可靠性。
In order to develop a method that can be used to calculate the displacement of soil and structure in soil in shaking table experiment,shaking table experiment is used to analyze and study.In the experiment,both accelerometer and cable displacement meter are arranged.The foundation soil of the experiment is stratified soil with soft top and hard bottom.The pile group foundation consists of 9 foundation piles with 1.35 m length and 0.1 m diameter,and the superstructure is a nuclear island model.Based on the experimental data of the acceleration sensor and the pull line displacement meter,a new acceleration integration method is proposed by the author,which is an adaptive least squares support vector machine acceleration integration method.The results of this method are compared with those of the existing high-pass filter acceleration integration method.The concepts of relative mean square error and relative peak error are introduced to eliminate the influence of the amplitude of ground motion input to the error analysis of calculation results.The results of the new method are analyzed and compared with those of the existing high-pass filter acceleration integration method,and the feasibility and reliability of the new method are proved.
作者
孙劲文
夏峰
齐文浩
陈赛斌
吴亚强
景立平
SUN Jinwen;XIA Feng;QI Wenhao;CHEN Saibin;WU Yaqiang;JING Liping(Institute of Engineering Mechanics,China Earthquake Administration,Harbin 150080,China;First Crust Monitoring and Application Center,China Earthquake Administration,Tianjin 300180,China)
出处
《防灾科技学院学报》
2025年第1期18-30,共13页
Journal of Institute of Disaster Prevention
基金
中国地震局工程力学研究所基本科研业务费专项资助项目(2019B10)。
关键词
振动台
自适应
支持向量机
积分位移
误差分析
shaking table
self-adaptation
support vector machine
integral displacement
error analysis
