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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.

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Time-dependent topology optimization of bone plates considering bone remodeling

TL;DR: A time-dependent topology optimization procedure for the design of bone plates by taking into account bone remodeling is proposed to form a useful tool for thedesign of implantable devices ensuring favorable long-term treatment outcomes.
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A generalized evolutionary method for numerical topology optimization of structures under static loading conditions

TL;DR: In this paper, a generalized evolutionary method is proposed to define structures that utilize their construction material to the greatest effect in the finite element sense, by basing the successive element erosion upon the contribution of an element to the strain energy of a structure and a certain material efficiency indicator.
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Static Shape Control of Composite Plates Using a Slope-Displacement-Based Algorithm

TL;DR: The perturbation buildup voltage distribution is based on an iterative approach inspired by a previous algorithm on displacement control as discussed by the authors, which aims to provide a means of targeting the desired shape of a structure with a higher-order criterion such as slope.
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Homogenization of multicomponent composite orthotropic materials using fea

TL;DR: In this paper, a finite element implementation of Lagrange multipliers to model the mechanical behavior of an orthotropic composite material was presented. But the Lagrange multiplier was not applied in the 2D plane stress elasticity matrix.
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A method for varying the number of cavities in an optimized topology using Evolutionary Structural Optimization

TL;DR: In this paper, an Intelligent Cavity Creation (ICC) method is proposed to control the number of cavities in the final topology and manufacturing constraints, which has the additional benefit of eliminating the formation of checkerboard patterns.