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Optimum design of cable nets by using genetic algorithm
Abstract This paper presents a generalized procedure to optimize cable nets by using the Genetic Algorithm (GA). The finite element program employing 2-, 3- and 4-node isoparametric curved cable elements is utilized to deal with the nonlinear behavior of cable nets under static loads. The allowable stress and the maximum displacement are considered as optimization constraints while the minimum volume is selected as an objective function. To validate the accuracy and efficiency of the proposed procedure, four optimization examples originated from nonlinear analysis problems of cable nets are introduced.
Optimum design of cable nets by using genetic algorithm
Abstract This paper presents a generalized procedure to optimize cable nets by using the Genetic Algorithm (GA). The finite element program employing 2-, 3- and 4-node isoparametric curved cable elements is utilized to deal with the nonlinear behavior of cable nets under static loads. The allowable stress and the maximum displacement are considered as optimization constraints while the minimum volume is selected as an objective function. To validate the accuracy and efficiency of the proposed procedure, four optimization examples originated from nonlinear analysis problems of cable nets are introduced.
Optimum design of cable nets by using genetic algorithm
Thai, Son (Autor:in) / Kim, Nam-Il (Autor:in) / Lee, Jaehong (Autor:in) / Kang, Joo-Won (Autor:in)
2017
Aufsatz (Zeitschrift)
Englisch
Optimum design of cable nets by using genetic algorithm
Springer Verlag | 2017
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