Application of genetic algorithm in the quality and stiffness fuzzy optimization of single layer dome
YE Ji Hong ;JIANG Ji Song
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Key Laboratory of Concrete and Pre-stressed Concrete Structures of Ministry of Education, China
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History+
Received
Revised
Published
2009-04-08
2009-06-30
2010-06-25
Issue Date
2010-06-25
Abstract
In the process of designing single-layer latticed domes, a lot of uncertain information and factors are inevitable, and should be solved by fuzzy theory. In addition, several optimal objectives, such as structural dead weight and stiffness, are difficult to reach the optimum at the same time. In this paper, a multi-objective fuzzy optimum model of single-layer latticed dome is built, on the basis of fuzzy mathematics. Using the fuzzy judgment method, the multi-objective fuzzy optimization problem is transformed into that of single-objective non-fuzzy optimization. Then, the non-fuzzy optimum model is analyzed, based on ANGA method. An optimum research on dead weight and stiffness of 70m single-layer latticed dome is carried out. The results show that the fuzzy judgment method proposed in the paper is rational and feasible, and the ANGA can be used to solve multi-objective fuzzy optimization of large and medium grid structures with several optimum variables effectively.
YE Ji Hong;JIANG Ji Song.
Application of genetic algorithm in the quality and stiffness fuzzy optimization of single layer dome[J]. Journal of Vibration and Shock, 2010, 29(6): 35-41