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Combined Size and Shape Optimization of Structures with DOE,RSM and GA 被引量:1
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作者 Jie Song Hongliang Hua +2 位作者 Zhenqiang Liao Tao Wang Ming Qiu 《Journal of Beijing Institute of Technology》 EI CAS 2018年第2期267-275,共9页
In this paper,size and shape optimization problem of a machine gun system is addressed with an efficient hybrid method,in which a novel and flexible mesh morphing technique is employed to achieve fast parameterization... In this paper,size and shape optimization problem of a machine gun system is addressed with an efficient hybrid method,in which a novel and flexible mesh morphing technique is employed to achieve fast parameterization and modification of complexity structure without going back to CAD for reconstruction of geometric models or to finite element analysis( FEA) for remodeling. Design of experiments( DOE) and response surface method( RSM) are applied to approximate the constitutive parameters of a machine gun system based on experimental tests. Further FEA,secondary development technique and genetic algorithm( GA) are introduced to find all the optimal solutions in one go and the optimal design of the demonstrated machine gun system is obtained. Results of the rigid-flexible coupling dynamic analysis and exterior ballistics calculation validate the proposed methodology,which is relatively time-saving,reliable and has the potential to solve similar problems. 展开更多
关键词 finite element method(FEA) shape optimization mesh morphing response surface method(RSM) design of experiments(DOE) rigid-flexible coupling machine gun system
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