Technical overview of the equivalent static loads method for non-linear static response structural optimization

Linear static response structural optimization has been developed fairly well by using the finite element method for linear static analysis. However, development is extremely slow for structural optimization where a non linear static analysis technique is required. Optimization methods using equival...

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Bibliographic Details
Published in:Structural and multidisciplinary optimization 2011-03, Vol.43 (3), p.319-337
Main Author: Park, Gyung-Jin
Format: Article
Language:English
Subjects:
Case studies
Computational Mathematics and Numerical Analysis
Displacement
Dynamic response
Dynamical systems
Engineering
Engineering Design
Equivalence
Finite element method
Nonlinear dynamics
Nonlinear programming
Nonlinear response
Nonlinear systems
Object oriented programming
Optimization
Review Article
Static loads
Theoretical and Applied Mechanics
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Summary:Linear static response structural optimization has been developed fairly well by using the finite element method for linear static analysis. However, development is extremely slow for structural optimization where a non linear static analysis technique is required. Optimization methods using equivalent static loads (ESLs) have been proposed to solve various structural optimization disciplines. The disciplines include linear dynamic response optimization, structural optimization for multi-body dynamic systems, structural optimization for flexible multi-body dynamic systems, nonlinear static response optimization and nonlinear dynamic response optimization. The ESL is defined as the static load that generates the same displacement field by an analysis which is not linear static. An analysis that is not linear static is carried out to evaluate the displacement field. ESLs are evaluated from the displacement field, linear static response optimization is performed by using the ESLs, and the design is updated. This process proceeds in a cyclic manner. A variety of problems have been solved by the ESLs methods. In this paper, the methods are completely overviewed. Various case studies are demonstrated and future research of the methods is discussed.
ISSN:1615-147X
1615-1488
DOI:10.1007/s00158-010-0530-x