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

Huang S., ÖZÇELİK Ö., Gu Q.

SOIL DYNAMICS AND EARTHQUAKE ENGINEERING, vol.76, pp.44-57, 2015 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 76
  • Publication Date: 2015
  • Doi Number: 10.1016/j.soildyn.2014.12.014
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.44-57
  • Keywords: Soil-structure interaction, Substructure method, CS method, Coupling of numerical and analytical methods, OpenSees, Nonlinear seismic response, SEISMIC RESPONSE, BUILDINGS
  • Dokuz Eylül University Affiliated: Yes


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.