Genetic Algorithm Based Optimization of Design Variable for Minimization of Non-Dimensionalized Maximum Deflection of a Laminated Composite Plate

Abstract

This research paper deals with the static analysis of a thin rectangular laminated composite plate. The main objective of the proposed work is to minimize the non-dimensionalized maximum deflection of the laminated composite plate by optimization of fiber-orientation of individual lamina. A Finite Element Model of the laminated composite plate has been developed considering First Order Shear Deformation Theory (FSDT). Genetic Algorithm (GA) has been utilized for the purpose of optimization. Simply supported boundary condition for the system has been considered for analysis. The results obtained through different cross-over and mutation probabilities have been compared and the optimized laminate configuration has been found out.

Authors and Affiliations

Gaurav Kumar Goyal, Leeladhar Rajput

Keywords

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  • EP ID EP22542
  • DOI -
  • Views 199
  • Downloads 5

How To Cite

Gaurav Kumar Goyal, Leeladhar Rajput (2016). Genetic Algorithm Based Optimization of Design Variable for Minimization of Non-Dimensionalized Maximum Deflection of a Laminated Composite Plate. International Journal for Research in Applied Science and Engineering Technology (IJRASET), 4(8), -. https://europub.co.uk/articles/-A-22542