多参数条件下汽车乘员约束系统匹配设计及稳健性研究
发布时间：2018-10-14 15:41
【摘要】：本课题由国家自然科学基金项目（51275164）“基于全局敏感性分析和拟合基函数代理模型的汽车碰撞人体损伤稳健优化”资助。 汽车乘员约束系统是保护车内乘员的主要安全装置，设计合理的汽车乘员约束系统能够明显降低乘员在碰撞过程中的损伤。传统的针对乘员约束系统的设计主要针对安全带、安全气囊的某几个参数进行设计分析，未考虑其他设计参数的影响，并且只是确定性优化，忽视了设计变量和边界条件的波动对系统的影响，往往导致所设计的乘员约束系统达不到预期的保护效果。因此需要综合考虑各设计参数对系统的影响来进行匹配设计，并对匹配设计的系统进行稳健性分析，设计出符合要求的、稳健性较好的系统。 本文在总结前人研究的基础上，对汽车乘员约束系统参数匹配设计、稳健性设计分析进行了进一步的研究，主要研究方法和内容如下： (1)研究国内外学者针对汽车乘员约束系统的研究方法和内容，总结其研究的成果，并分析其研究存在的不足和缺陷。 (2)基于多刚体软件MADYMO建立了汽车正面碰撞乘员约束系统模型，并对该计算模型的准确性进行了验证，验证结果表明该仿真模型可以替代实车模型进行设计分析。 (3)针对多参数条件下复杂繁琐的乘员约束系统匹配设计，采用一种基于变量分组的全局敏感性分析方法，通过将相关设计变量分为一组，保持各组变量之间相互独立，分别对各组变量进行全局敏感性分析，计算所有变量对系统响应总方差的贡献度来评估参数的重要性，在此基础上选取重要的设计变量进行分析。 (4)在全局敏感性分析的基础上，选取重要的设计变量来进行稳健性设计分析，稳健性分析的结果表明，相对于确定性设计优化，假人损伤值有所增加，，但是稳健性得到大幅提高，能够抵抗因设计变量的波动造成响应的波动。 最后，针对本文提出的基于变量分组的全局敏感性分析方法及稳健设计方法进行总结分析，指出该方法在约束系统匹配设计中表现出的优越性和先进性，还讨论了后续阶段需要考虑研究的部分。
[Abstract]:This project is supported by the National Natural Science Foundation of China (51275164), "robust optimization of human body damage in automobile collisions based on global sensitivity analysis and fitting basis function agent model". The vehicle occupant restraint system is the main safety device to protect the occupants in the vehicle. The reasonable design of the vehicle occupant restraint system can obviously reduce the damage of the occupants during the collision. The traditional design of the passenger restraint system is mainly aimed at the safety belt, airbag parameters design analysis, without considering the impact of other design parameters, and only deterministic optimization. The influence of the fluctuation of the design variables and boundary conditions on the system is ignored, which often leads to the design of the crew constraint system can not achieve the desired protection effect. Therefore, it is necessary to comprehensively consider the influence of design parameters on the system to carry out the matching design, and the robust analysis of the matching design system, to design a system that meets the requirements and has good robustness. On the basis of summarizing the previous research, this paper makes further research on the parameter matching design and robust design analysis of the vehicle occupant constraint system. The main research methods and contents are as follows: (1) the research methods and contents of domestic and foreign scholars aiming at vehicle occupant restraint system are summarized, and the research results are summarized. The shortcomings and defects of the research are analyzed. (2) based on the multi-rigid-body software MADYMO, the vehicle frontal impact occupant constraint system model is established, and the accuracy of the calculation model is verified. The results show that the simulation model can replace the real vehicle model for design and analysis. (3) aiming at the complex and complicated passenger constraint system matching design under multi-parameter conditions, a global sensitivity analysis method based on variable grouping is adopted. By dividing the relevant design variables into a group, maintaining the independence of each group of variables, analyzing the global sensitivity of each group of variables, and calculating the contribution of all variables to the total variance of the system response, the importance of the parameters is evaluated. On this basis, important design variables are selected for analysis. (4) on the basis of global sensitivity analysis, important design variables are selected to carry out robust design analysis. The results of robust analysis show that, Compared with deterministic design optimization, the damage value of dummy is increased, but the robustness is greatly improved, which can resist the response fluctuation caused by the fluctuation of design variables. Finally, the global sensitivity analysis method based on variable grouping and the robust design method proposed in this paper are summarized and analyzed, and the advantages and advantages of this method in constrained system matching design are pointed out. The part that needs to be considered in the following stage is also discussed.
【学位授予单位】：湖南大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：U491.61
本文编号：2270898
[Abstract]:This project is supported by the National Natural Science Foundation of China (51275164), "robust optimization of human body damage in automobile collisions based on global sensitivity analysis and fitting basis function agent model". The vehicle occupant restraint system is the main safety device to protect the occupants in the vehicle. The reasonable design of the vehicle occupant restraint system can obviously reduce the damage of the occupants during the collision. The traditional design of the passenger restraint system is mainly aimed at the safety belt, airbag parameters design analysis, without considering the impact of other design parameters, and only deterministic optimization. The influence of the fluctuation of the design variables and boundary conditions on the system is ignored, which often leads to the design of the crew constraint system can not achieve the desired protection effect. Therefore, it is necessary to comprehensively consider the influence of design parameters on the system to carry out the matching design, and the robust analysis of the matching design system, to design a system that meets the requirements and has good robustness. On the basis of summarizing the previous research, this paper makes further research on the parameter matching design and robust design analysis of the vehicle occupant constraint system. The main research methods and contents are as follows: (1) the research methods and contents of domestic and foreign scholars aiming at vehicle occupant restraint system are summarized, and the research results are summarized. The shortcomings and defects of the research are analyzed. (2) based on the multi-rigid-body software MADYMO, the vehicle frontal impact occupant constraint system model is established, and the accuracy of the calculation model is verified. The results show that the simulation model can replace the real vehicle model for design and analysis. (3) aiming at the complex and complicated passenger constraint system matching design under multi-parameter conditions, a global sensitivity analysis method based on variable grouping is adopted. By dividing the relevant design variables into a group, maintaining the independence of each group of variables, analyzing the global sensitivity of each group of variables, and calculating the contribution of all variables to the total variance of the system response, the importance of the parameters is evaluated. On this basis, important design variables are selected for analysis. (4) on the basis of global sensitivity analysis, important design variables are selected to carry out robust design analysis. The results of robust analysis show that, Compared with deterministic design optimization, the damage value of dummy is increased, but the robustness is greatly improved, which can resist the response fluctuation caused by the fluctuation of design variables. Finally, the global sensitivity analysis method based on variable grouping and the robust design method proposed in this paper are summarized and analyzed, and the advantages and advantages of this method in constrained system matching design are pointed out. The part that needs to be considered in the following stage is also discussed.
【学位授予单位】：湖南大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：U491.61
【参考文献】
相关期刊论文 前10条
1 孙光永;李光耀;闫晓磊;张冠军;钟志华;;多目标稳健优化设计方法在车身设计制造中的应用研究[J];固体力学学报;2011年02期
2 张崎;李兴斯;;基于Kriging模型的结构可靠性分析[J];计算力学学报;2006年02期
3 孙光永;李光耀;陈涛;郑刚;;基于6σ的稳健优化设计在薄板冲压成形中的应用[J];机械工程学报;2008年11期
4 张健;顾佩华;包能胜;张国军;;非线性机械系统分析性稳健设计[J];机械工程学报;2009年10期
5 葛如海;臧绫;王浩涛;张学荣;陈晓东;苏清祖;;汽车座椅坐垫倾角对正面碰撞乘员保护影响分析[J];机械工程学报;2009年11期
6 李铁柱;李光耀;陈涛;高晖;;基于Kriging近似模型的汽车乘员约束系统稳健性设计[J];机械工程学报;2010年22期
7 李铁柱;李光耀;顾纪超;董立强;;汽车乘员舱安全性与舒适性多学科设计优化[J];机械工程学报;2012年02期
8 高晖;李光耀;李铁柱;;基于遗传算法和可靠性分析的乘员约束系统优化[J];汽车工程;2008年12期
9 赵敏;钟志华;王国春;漆露霖;;基于正交试验设计的微型轿车侧撞安全性研究[J];汽车工程;2010年05期
10 黄石华;成艾国;胡朝辉;陈少伟;;基于6σ稳健性的拼焊板车门轻量化研究[J];汽车工程;2011年03期
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