首页> 外文期刊>International Journal of Modern Physics, B. Condensed Matter Physics, Statistical Physics, Applied Physics >REGRESSION MODEL FOR LIGHT WEIGHT AND CRASHWORTHINESS ENHANCEMENT DESIGN OF AUTOMOTIVE PARTS IN FRONTAL CAR CRASH
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REGRESSION MODEL FOR LIGHT WEIGHT AND CRASHWORTHINESS ENHANCEMENT DESIGN OF AUTOMOTIVE PARTS IN FRONTAL CAR CRASH

机译:汽车前部汽车车身轻量化和疲劳度增强设计回归模型

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This paper deals with a regression model for light weight and crashworthiness enhancement design of automotive parts in frontal car crash. The ULSAB-AVC model is employed for the crash analysis and effective parts are selected based on the amount of energy absorption during the crash behavior.Finite element analyses are carried out for designated design cases in order to investigate the crashworthiness and weight according to the material and thickness of main energy absorption parts.Based on simulations results, a regression analysis is performed to construct a regression model utilized for light weight and crashworthiness enhancement design of automotive parts. An example for weight reduction of main energy absorption parts demonstrates the validity of a regression model constructed.
机译:本文针对前车祸中汽车零部件的轻量化和耐撞性增强设计提供了回归模型。使用ULSAB-AVC模型进行碰撞分析,并根据碰撞行为过程中的能量吸收量选择有效零件。针对指定的设计案例进行了有限元分析,以根据材料调查耐撞性和重量在仿真结果的基础上,进行了回归分析,建立了用于汽车零部件轻量化和耐撞性增强设计的回归模型。减少主要能量吸收部件重量的示例证明了所构建回归模型的有效性。

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