Abstract
Recent achievement of research on soil-structure interaction (SSI) is reviewed, with a main focus on the numerical analysis. The review is based on the continuum mechanics theory and the use of high-performance computing (HPC) and clarifies the characteristics of a wide range of treatment of SSI from a simplified model to a high fidelity model. Emphasized is that all the treatment can be regarded as the result of the mathematical approximations in solving a physical continuum mechanics problem of a soil-structure system. The use of HPC is inevitable if we need to obtain a solution of higher accuracy and finer resolution. An example of using HPC for the analysis of SSI is presented.
Highlights
Research related to the effects of soil-structure interaction (SSI) on structural seismic response has been a key issue in earthquake engineering for several decades
The numerical analysis can integrate the achievement of all the research areas
It should supported by the fundamental physical theory shared by the research areas and advanced be supported by the fundamental physical theory shared by the research areas and computer and computational sciences
Summary
Research related to the effects of soil-structure interaction (SSI) on structural seismic response has been a key issue in earthquake engineering for several decades. We aim at summarizing recent advancements in numerical analysis related to SSI To this end, we consider the following two fundamentals: (1) the continuum mechanics theory on which most rigorous treatment of SSI is made and (2). The use of high-performance computing (HPC) for large-scale seismic response analysis considering SSI. These two fundamentals are related to each other because the continuum mechanics theory leads to the governing equations for SSI which are given as a set of four-dimensional partial differential equations for the three components of a displacement vector function and the set cannot be numerically solved without using modern computers of fast CPU’s (Central Processing Unit) and large computing memories. We point out future works that are needed for further understanding and numerical analysis of SSI
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