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Particle Swarm Optimization For Truss Structure Optimal Design

Posted on:2009-12-01Degree:MasterType:Thesis
Country:ChinaCandidate:Y WangFull Text:PDF
GTID:2132360242983366Subject:Wind engineering
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Particle swarm optimization (PSO) is a new type of swarm intelligent bionic algorithm, which is motivated by the behavior of organisms, such as fish schooling and bird flocking. It is characterized as a simple concept, which is both easy to implement and computationally efficient. The algorithm is robust, well suited to handle non-line non-convex design space with discontinuities. PSO has drawn much attentions of researchers and been successfully applied to various optimization problems.In this thesis a PSO algorithm is presented for size, geometry and topology optimal design of truss structures.The main contents of this thesis list as follows:Chapter 1,The basic conception of structural optimization and the development of the traditional and the modern intelligent algorithms are introduced.Chapter 2,A detailed explanation of the basic theories of PSO algorithm is introduced. Two improvements of PSO and the convergence of PSO are analyzed in this chapter.Chapter 3,The PSO is used to solve the Size Optimization problem of truss structure. The performance of the PSO with different setting parameters is discussed through an example of 10-bar truss structure optimal design. In addition, the performance of the PSO for optimal design of a space truss structures with the stress and displacement constrains under one and multi-load cases is discussed. The results show that the proposed algorithm is very efficient for the optimization of truss structure.Chapter 4,The PSO is used to solve the Geometry Optimization problem of truss structure.1,The combination of bar size and node location is developed for the design variables, using the combined variables can overcome the shortcomings of traditional methods, such as decomposition method, which may just find out the local optimal result. 2,Structural geometry optimization under dynamic local stability constraint issolved.Give some examples to testify this algorithm, the results of the examples show that the proposed algorithm and the optimum strategies put forward in this paper are feasible. And the results of the optimization, compared with the existing literature, are satisfying.Chapter 5,The PSO is used to solve the Topology Optimization problem of truss structure. Based on size topology model, then the final topology optimization of thetruss is realized.Chapter 6,The conclusion of the whole paper and it makes a general prediction about the future research work.
Keywords/Search Tags:Particle Swarm Optimization (PSO), truss, Size optimization, Geometry optimization, Topology optimization
PDF Full Text Request
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