Structural Optimization Using Simulated Annealing

摘要: The increasing demand from the industry for lightweight, high-performance and low-cost structures drives considerable current research going on in field of structural optimization. In early stages, optimization was restricted to sizing Now, there are broadly three problem areas that researchers engineers face. One is shape optimization, which involves finding best profile a structure under various constraints imposed by requirements design. objective may be minimize weight or maximize mechanical performance. other topology configuration layout structure. last one composites Better performance obtained optimizing material system itself such as fibre orientations, filler volume fraction, ply thickness, stacking sequence. Locating globally optimum designs difficult problem, requiring sophisticated procedures. typical problems, many locally optimal configurations. For reason, downhill-proceeding algorithm, monotonically decreasing value function iteratively created, get stuck into point than solution. Therefore, adopted global search algorithms like simulated annealing their studies This chapter gives review these fields. functions, constraints, design variables will discussed. Then, this focus applications