Deconvolution method between kinematic interaction and dynamic interaction of soil-foundation systems based on observed data

Masaru Hoshiya, Kiyoshi Ishii
{"title":"Deconvolution method between kinematic interaction and dynamic interaction of soil-foundation systems based on observed data","authors":"Masaru Hoshiya,&nbsp;Kiyoshi Ishii","doi":"10.1016/0261-7277(84)90046-9","DOIUrl":null,"url":null,"abstract":"<div><p>To prove the effect of kinematic interaction experimentally, earthquake records both at the ground and at the foundation are needed. Since the foundation motion is effected not only by the kinematic interaction but also by the dynamic interaction of a soil-foundation system, a general deconvolution method between the kinematic interaction and the dynamic interaction of a soil-foundation system based on the observed data is derived in this paper, where a structure is modelled by a multiple-degree-of-freedom (MDOF) system which represents the dynamic interaction, and the unknown foundation input motion is expressed by a moving average model (MA-model) of the ground motion, which represents the filtering effect of kinematic interaction. Generally, as the parameters of a MDOF system can not be determined exactly, these parameters are treated as random variables on trial using the Monte Carlo simulation method. Next, the coefficients of the MA-model are identified applying the Kalman filter. On the many trials, the result which minimizes the root-mean-square error between the observed response and calculated response is determined as the best estimation. Examples of (1) two single-degree-of-freedom systems arranged in a series and (2) a four-storey reinforced concrete school building are demonstrated to verify the proposed method.</p></div>","PeriodicalId":100715,"journal":{"name":"International Journal of Soil Dynamics and Earthquake Engineering","volume":"3 3","pages":"Pages 157-164"},"PeriodicalIF":0.0000,"publicationDate":"1984-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/0261-7277(84)90046-9","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Soil Dynamics and Earthquake Engineering","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/0261727784900469","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7

Abstract

To prove the effect of kinematic interaction experimentally, earthquake records both at the ground and at the foundation are needed. Since the foundation motion is effected not only by the kinematic interaction but also by the dynamic interaction of a soil-foundation system, a general deconvolution method between the kinematic interaction and the dynamic interaction of a soil-foundation system based on the observed data is derived in this paper, where a structure is modelled by a multiple-degree-of-freedom (MDOF) system which represents the dynamic interaction, and the unknown foundation input motion is expressed by a moving average model (MA-model) of the ground motion, which represents the filtering effect of kinematic interaction. Generally, as the parameters of a MDOF system can not be determined exactly, these parameters are treated as random variables on trial using the Monte Carlo simulation method. Next, the coefficients of the MA-model are identified applying the Kalman filter. On the many trials, the result which minimizes the root-mean-square error between the observed response and calculated response is determined as the best estimation. Examples of (1) two single-degree-of-freedom systems arranged in a series and (2) a four-storey reinforced concrete school building are demonstrated to verify the proposed method.

基于观测数据的地基系统运动相互作用与动力相互作用的反卷积方法
为了在实验上证明运动相互作用的影响,需要地面和地基的地震记录。由于基础运动不仅受运动相互作用的影响,而且还受地基系统的动力相互作用的影响,本文基于观测数据推导了地基系统的运动相互作用和动力相互作用的通用反卷积方法,其中结构模型采用代表动力相互作用的多自由度系统。未知的基础输入运动用地面运动的移动平均模型(MA-model)表示,该模型代表了运动相互作用的滤波效应。一般情况下,由于多自由度系统的参数无法精确确定,所以采用蒙特卡罗模拟法将这些参数作为随机变量进行试验。其次,应用卡尔曼滤波对ma模型的系数进行识别。在多次试验中,将观测响应与计算响应的均方根误差最小的结果确定为最佳估计。(1)两个单自由度串联系统和(2)一座四层钢筋混凝土校舍的实例验证了所提出的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信