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A practical and efficient coupling method for large scale soil-structure interaction problems

机译:一种实用有效的大规模土-结构相互作用问题耦合方法

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摘要

A practical and efficient coupling method for performing nonlinear static pushover or time history analysis for soil-structure interaction (SSI) systems is presented. The method combines the advantages of efficient analysis of a half-space soil medium represented as discrete filters and powerful modeling capabilities of finite element analysis (FEA) software for large scale nonlinear structural systems, thus is potentially useful for solving large scale realistic civil infrastructure problems. The boundary conditions of displacement continuity and force equilibrium between soil and structure are satisfied by using Newton's method. The coupling between the two substructures is based on a real-time data communication technique called the client-server (CS) integration technique. A comprehensive study is made regarding the newly developed coupling method by using a single- and a multi- degree of freedom structure and soil systems, as well as a real world SSI example. Several details are discussed, including the effect of simulation time step sizes, comparison of implicit and explicit methods, effects of increasing nonlinearity in the SSI system, and the nonlinear seismic responses of the SSI systems in cases of considering vs. not considering SSI effect. This paper proposes a practical and efficient method for nonlinear static pushover or seismic analysis of large scale SSI systems, and part of the research results provides valuable insight for engineering practice. (c) 2015 Elsevier Ltd. All rights reserved.
机译:提出了一种实用有效的耦合方法,用于土-结构相互作用(SSI)系统的非线性静力推覆或时程分析。该方法结合了以离散过滤器为代表的半空间土壤介质的高效分析和大型非线性结构系统的有限元分析(FEA)软件强大建模能力的优点,因此对于解决大规模现实的民用基础设施问题具有潜在的实用性。利用牛顿法满足了土体与结构之间位移连续性和力平衡的边界条件。两个子结构之间的耦合基于称为客户端服务器(CS)集成技术的实时数据通信技术。通过使用单自由度和多自由度的结构和土壤系统,以及一个真实的SSI实例,对新开发的耦合方法进行了全面的研究。讨论了一些细节,包括模拟时间步长的影响,隐式方法和显式方法的比较,SSI系统中非线性增加的影响以及在考虑与不考虑SSI效果的情况下SSI系统的非线性地震响应。本文提出了一种实用,有效的大规模SSI系统非线性静力推力或地震分析方法,部分研究成果为工程实践提供了宝贵的见识。 (c)2015 Elsevier Ltd.保留所有权利。

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