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Multi-Objective Dynamic Optimum of Gantry Container Crane Structure System

Author: WangHongXin
Tutor: YuLanFeng
School: Southwest Jiaotong University
Course: Mechanical Design and Theory
Keywords: Container gantry crane Multiobjective Dynamic Optimization Finite Element Method BP neural network Genetic Algorithms
CLC: TH213.5
Type: Master's thesis
Year: 2008
Downloads: 199
Quote: 2
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Abstract


Multi-objective optimization technology has important applications in the fields of engineering, economics , management and military , multi-objective optimization study more and more widespread concern and attention , it has developed into an emerging discipline in the application shows strong vitality. Genetic algorithm is a global optimization draw on natural selection and genetic mechanisms of biological developed adaptive probabilistic search algorithms , unique advantages it showed in solving complex system optimization and robustness , making it to solve the multi-objective a very effective means of optimization problems . Due to the dynamic characteristics of the structural system of gantry cranes is difficult to precisely design variables explicitly express the highly non - linear multi-layer artificial neural network mapping function in this article to describe and handle dynamic system design variables and their dynamic parameters relationship. Artificial neural network model , once established, can be replaced by a finite element model of re- analysis of structural dynamic characteristics , the analysis process is simple and straightforward , and fast than the finite element model calculation , especially for use in engineering and technical personnel . Therefore, the use of genetic algorithm optimization neural network model established , can be obtained when the dynamic characteristics of the feasible region is optimal design variables and the target value . In this paper, based on finite element analysis , combined with orthogonal experiment method , using BP neural network to establish a rapid re- analysis of the mathematical model of the vibration system , and the use of genetic algorithm optimization neural network model , the final part of the multi-objective optimization Pareto optimal optimal solution .

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CLC: > Industrial Technology > Machinery and Instrument Industry > Lifting machinery and transport machinery > Lifting machinery > Mobile crane > Gantry ( gantry )
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