Parallel Artificial Immune System in Optimization and Identification of Composite Structures
The paper deals with the application of the Artificial Immune System to the optimization and identification of composites. To reduce the computational time parallel computations are performed. Composite structures in form of multilayered laminates are taken into account. Simple and hybrid (with laminas made of different materials) laminates are examined. Different optimization criteria connected with stiffness and modal properties of laminate structures are considered. Continuous and discrete variants of design variables are regarded. The aim of the identification is to find laminate elastic constants on the basis of measurements of state variable values. The Finite Element Method is employed to solve the boundary-value problem for laminates. Numerical examples presenting effectiveness of proposed method are attached.
KeywordsArtificial Immune System optimization identification parallel computing composite laminate
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