Fibre architecture design of 3D woven composite with genetic algorithms: a unit cell based optimisation framework and performance assessment
作者： Ian Ashcroft , Andew C.A. Long , Prasad Potluri , Xuesen Zeng
DOI:
关键词: Solver 、 Automation 、 Set (abstract data type) 、 Finite element method 、 Integer (computer science) 、 Genetic algorithm 、 Brace 、 Engineering 、 Buckling 、 Structural engineering
摘要: There are vast possibilities in fibre architecture design of 3D woven reinforcement. This paper considers the application Genetic Algorithm (GA) composites optimisation. A set real and integral variables, representing architecture, formulated into a mixed integer Algorithm. The objective function is evaluated through automation unit cell based finite element analysis, by using open source pre-processor TexGen commercial solver ABAQUS. adapted to micro-population, aiming improve computational efficiency. study uses statistical tests quantify performance schemes choice parameters. proposed approach was applied optimisation for maximum buckling resistance case landing gear brace. demonstrated that converged optimum within 20 iterations, considering 300 out 7000 permissible solutions. In terms performance, performed twice as well cross-ply laminated at least 50% better than known orthogonal composites.
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