Please use this identifier to cite or link to this item: http://hdl.handle.net/11455/44875
標題: Determination of optimum design spaces for topology optimization
作者: Chen, T.Y.
陳定宇
Lin, C.Y.
關鍵字: optimum design space;topology optimization;simple genetic algorithm;structural topology
Project: Finite Elements in Analysis and Design
期刊/報告no:: Finite Elements in Analysis and Design, Volume 36, Issue 1, Page(s) 1-16.
摘要: 
Due to tolerances allowed in deciding the design space in preliminary designs, two approaches are proposed to find the optimum design space systematically. One is to use Taguchi orthogonal array to do experiments for some design spaces and find optimum topologies in these design spaces. The results of the experiments are used to determine the optimum boundaries of the design space. The other approach is to use genetic algorithms (GA) to search for the optimum boundaries of the design space. To reduce the computational burden of GA, the artificial neural network (ANN) is used to replace the time-consuming processes of finding optimum topologies in all individuals (design spaces) of a generation. The GA search is thus accelerated. Two examples are used to demonstrate and test the approaches. Based on numerical results the methods are reliable, practical, and efficient. (C) 2000 Elsevier Science B.V. All rights reserved.
URI: http://hdl.handle.net/11455/44875
ISSN: 0168-874X
DOI: 10.1016/s0168-874x(00)00004-4
Appears in Collections:機械工程學系所

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