scispace - formally typeset
G

Grant P. Steven

Researcher at University of Sydney

Publications -  200
Citations -  11481

Grant P. Steven is an academic researcher from University of Sydney. The author has contributed to research in topics: Finite element method & Topology optimization. The author has an hindex of 51, co-authored 197 publications receiving 10269 citations. Previous affiliations of Grant P. Steven include Victoria University, Australia & Durham University.

Papers
More filters
Journal ArticleDOI

Evolutionary optimization of maximizing the difference between two natural frequencies of a vibrating structure

TL;DR: In this article, two new criteria, namely the material efficiency criterion and the smooth change criterion, are derived for solving this kind of evolutionary optimization problem, and the evolutionary optimization method has been further extended and applied to maximize the difference between the fundamental and the second natural frequencies of a structure under both plane stress and thin plate flexural bending conditions.
Journal ArticleDOI

An evolutionary shape optimization procedure for contact problems in mechanical designs

TL;DR: By adopting the evolutionary structural optimization (ESO) concept, a non-gradient procedure for gradual shape redesign of prescribed contact interfaces is presented in this article, where interfacial gaps are considered as design variables and contact stress deviations over design interfaces are set as the objective function.
Journal ArticleDOI

Evolutionary thickness design with stiffness maximization and stress minimization criteria

TL;DR: In this article, a thickness-based evolutionary procedure was proposed to make the multicriteria optimization suit to more realistic structural situations, multiple maximum stress locations and multiple load cases were taken into account.
Journal ArticleDOI

Aircraft wing design automation with ESO and GESO

TL;DR: In this paper, the optimisation of an aircraft wing with ESO and group evolutionary structural optimisation (GESO) is presented, which is a modification of ESO which extends the topological method to configuration optimisation.
Journal ArticleDOI

Stress based optimization of torsional shafts using an evolutionary procedure

TL;DR: In this article, a finite element analysis is employed to find the shear stress distribution throughout the cross-sectional area of the shaft, and two basic procedures are developed in this paper; either progressively removing the least efficient material from the design domain or gradually shifting material to the most efficient (over-utilized) location while keeping the crosssectional area constant.