發(fā)布時(shí)間：2018-10-14 15:41

【摘要】：本課題由國家自然科學(xué)基金項(xiàng)目（51275164）“基于全局敏感性分析和擬合基函數(shù)代理模型的汽車碰撞人體損傷穩(wěn)健優(yōu)化”資助。 汽車乘員約束系統(tǒng)是保護(hù)車內(nèi)乘員的主要安全裝置，設(shè)計(jì)合理的汽車乘員約束系統(tǒng)能夠明顯降低乘員在碰撞過程中的損傷。傳統(tǒng)的針對乘員約束系統(tǒng)的設(shè)計(jì)主要針對安全帶、安全氣囊的某幾個(gè)參數(shù)進(jìn)行設(shè)計(jì)分析，未考慮其他設(shè)計(jì)參數(shù)的影響，并且只是確定性優(yōu)化，忽視了設(shè)計(jì)變量和邊界條件的波動對系統(tǒng)的影響，往往導(dǎo)致所設(shè)計(jì)的乘員約束系統(tǒng)達(dá)不到預(yù)期的保護(hù)效果。因此需要綜合考慮各設(shè)計(jì)參數(shù)對系統(tǒng)的影響來進(jìn)行匹配設(shè)計(jì)，并對匹配設(shè)計(jì)的系統(tǒng)進(jìn)行穩(wěn)健性分析，設(shè)計(jì)出符合要求的、穩(wěn)健性較好的系統(tǒng)。 本文在總結(jié)前人研究的基礎(chǔ)上，對汽車乘員約束系統(tǒng)參數(shù)匹配設(shè)計(jì)、穩(wěn)健性設(shè)計(jì)分析進(jìn)行了進(jìn)一步的研究，主要研究方法和內(nèi)容如下： (1)研究國內(nèi)外學(xué)者針對汽車乘員約束系統(tǒng)的研究方法和內(nèi)容，總結(jié)其研究的成果，并分析其研究存在的不足和缺陷。 (2)基于多剛體軟件MADYMO建立了汽車正面碰撞乘員約束系統(tǒng)模型，并對該計(jì)算模型的準(zhǔn)確性進(jìn)行了驗(yàn)證，驗(yàn)證結(jié)果表明該仿真模型可以替代實(shí)車模型進(jìn)行設(shè)計(jì)分析。 (3)針對多參數(shù)條件下復(fù)雜繁瑣的乘員約束系統(tǒng)匹配設(shè)計(jì)，采用一種基于變量分組的全局敏感性分析方法，通過將相關(guān)設(shè)計(jì)變量分為一組，保持各組變量之間相互獨(dú)立，分別對各組變量進(jìn)行全局敏感性分析，計(jì)算所有變量對系統(tǒng)響應(yīng)總方差的貢獻(xiàn)度來評估參數(shù)的重要性，在此基礎(chǔ)上選取重要的設(shè)計(jì)變量進(jìn)行分析。 (4)在全局敏感性分析的基礎(chǔ)上，選取重要的設(shè)計(jì)變量來進(jìn)行穩(wěn)健性設(shè)計(jì)分析，穩(wěn)健性分析的結(jié)果表明，相對于確定性設(shè)計(jì)優(yōu)化，假人損傷值有所增加，，但是穩(wěn)健性得到大幅提高，能夠抵抗因設(shè)計(jì)變量的波動造成響應(yīng)的波動。 最后，針對本文提出的基于變量分組的全局敏感性分析方法及穩(wěn)健設(shè)計(jì)方法進(jìn)行總結(jié)分析，指出該方法在約束系統(tǒng)匹配設(shè)計(jì)中表現(xiàn)出的優(yōu)越性和先進(jìn)性，還討論了后續(xù)階段需要考慮研究的部分。
[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.
【學(xué)位授予單位】：湖南大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：U491.61

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