Search

This paper combined with the adaptive principle to improve the genetic algorithms (GA) and applied it to optimal design of the shape of the concrete face rock-fill dam (CFRD). Based on the improved GA, a mathematical model was established for the design optimization of CFRD. CFRD utilizes dam cost as objective function and dam slope and geometries of the dam material partition as design variables. Dam stability, stress, displacement, and stress level are used as the main condition constraints. The calculation procedures were prepared, and the GA was used to optimize the design of Jishixia CFRD. Results show that the GA could solve the global optimal solution problem of complex optimization design, such as the high degree of nonlinearity and the recessiveness of constraint conditions, and using the GA to optimize the CFRD design can reduce the quantities of projects and engineering safety costs. [ABSTRACT FROM AUTHOR]

SUMMARY The purpose of this study is to optimize the design of a composite laminate hydrogen storage vessel for minimizing stress concentration. The optimum design of this study uses the finite-element method combined with a simplified conjugated gradient method (SCGM) and genetic algorithm (GA) to find the minimization of von Mises stress of the composite laminate hydrogen storage vessel. In this study, a composite laminate hydrogen storage vessel with an aluminum liner and a carbon fiber/epoxy layer are considered. The winding angle and thickness of the composite layer are proposed as optimal design variables. The comparison between SCGM and GA is discussed in order to obtain a promising optimum in design process. Through this optimization, the best possible combination of winding angle and thickness of composite layer has been obtained to obtain minimum possible stress concentration. Copyright © 2012 John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR]