| Combined Size and Shape Optimization of Structures with DOE, RSM and GA |
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| 作者姓名： | Jie Song Hongliang Hu Zhenqiang Liao Tao Wang Ming Qiu |
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| 作者单位： | School of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China |
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| 基金项目： | Supported by the National Natural Science Foundation of China(51376090,51676099) |
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| 摘 要： | 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 frnd 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.
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| 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 finite element method (FEA) shape optimization mesh morphing response surface method (RSM) design of experiments (DOE) rigid-flexible coupling machine gun system |
| 收稿时间： | 2017/3/28 0:00:00 |
Combined Size and Shape Optimization of Structures with DOE, RSM and GA |
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| Jie Song,Hongliang Hu,Zhenqiang Liao,Tao Wang,Ming Qiu.Combined Size and Shape Optimization of Structures with DOE, RSM and GA[J].Journal of Beijing Institute of Technology,2018,27(2):267-275. |
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| Authors: | Jie Song Hongliang Hu Zhenqiang Liao Tao Wang and Ming Qiu |
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| Abstract: | 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 frnd 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. |
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| Keywords: | 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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