JOURNAL ARTICLE

Topology optimization of geometrically nonlinear structures using an evolutionary optimization method

Meisam AbdiIan AshcroftRicky D. Wildman

Year: 2018 Journal:   Engineering Optimization Vol: 50 (11)Pages: 1850-1870   Publisher: Taylor & Francis

Abstract

Iso-XFEM method is an evolutionary optimization method developed in our previous studies to enable the generation of high resolution topology optimised designs suitable for additive manufacture. Conventional approaches for topology optimization require additional post-processing after optimization to generate a manufacturable topology with clearly defined smooth boundaries. Iso-XFEM aims to eliminate this time-consuming post-processing stage by defining the boundaries using isovalues of a structural performance criterion and an extended finite element method (XFEM) scheme. In this paper, the Iso-XFEM method is further developed to enable the topology optimization of geometrically nonlinear structures undergoing large deformations. This is achieved by implementing a total Lagrangian finite element formulation and defining a structural performance criterion appropriate for the objective function of the optimization problem. The Iso-XFEM solutions for geometrically nonlinear test-cases implementing linear and nonlinear modelling are compared, and the suitability of nonlinear modelling for the topology optimization of geometrically nonlinear structures is investigated.

Keywords:
Topology optimization Topology (electrical circuits) Nonlinear system Finite element method Extended finite element method Mathematical optimization Optimization problem Nonlinear programming Mathematics Engineering Structural engineering

Metrics

48
Cited By
5.56
FWCI (Field Weighted Citation Impact)
42
Refs
0.95
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Topology Optimization in Engineering
Physical Sciences →  Engineering →  Civil and Structural Engineering
Composite Structure Analysis and Optimization
Physical Sciences →  Engineering →  Mechanics of Materials
Advanced Multi-Objective Optimization Algorithms
Physical Sciences →  Computer Science →  Computational Theory and Mathematics

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