Titlebook: Smart Structures and Materials; Selected Papers from Aurelio L. Araujo,Carlos A. Mota Soares Book 2017 Springer International Publishing Sw

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星球的光亮度

Design Optimization and Reliability Analysis of Variable Stiffness Composite Structures,presence of uncertainties. A comparison to the response of conventional straight fiber composites is presented while assuming the same material properties. To this end, a computational design framework for advanced composites has been developed and implemented and it includes both deterministic and

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Robust Multi-objective Evolutionary Optimization-Based Inverse Identification of Three-Dimensional (UD) carbon fibre reinforced plastic (CFRP) composites using a .-. evolutionary optimization procedure. This combines . sensitivity analysis through FE ., response surfaces methodology-based .-. and a non-sorting . of second generation. All identifiable 3D elastic behaviours are considered as well

Conjuction

Robust Multi-objective Evolutionary Optimization-Based Inverse Identification of Three-Dimensional tification as orthotropic, this sample’s 3D elastic behaviour is identified as . before sensitivity analyses, but orthotropic after the latter, i.e. using the four dominant in-plane engineering constants during the multi-objective optimization.

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Edith E. M. L. Tjoa,Eelco H. Mustects to how we achieved high performance in the MTL. The first is the use of static polymorphism (template functions) with modern optimizing compilers, enabling extreme flexibility with no loss in performance. The second is the application of abstraction to the optimization process itself. The Basic