首页> 外文会议>ASME International Mechanical Engineering Congress and Exposition >AN EXPERIMENTAL METHOD FOR MULTI-VARIABLE ANALYSIS OF VEHICLE SAFETY SYSTEMS AND APPLICATION TO FRONT SEATS REAR OCCUPANT INTERACTION IN REAR IMPACTS
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AN EXPERIMENTAL METHOD FOR MULTI-VARIABLE ANALYSIS OF VEHICLE SAFETY SYSTEMS AND APPLICATION TO FRONT SEATS REAR OCCUPANT INTERACTION IN REAR IMPACTS

机译:车辆安全系统多变量分析的实验方法及对后座椅的前座椅和后乘员相互作用

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摘要

This study presents a combined experimental-analytical method for test efficient, and cost effective, multi-variable analysis of safety system performance related to occupant injury potential analyzed over wide parameter ranges. Experimental techniques such as the "two-level factorial" method, in combination with sled-buck test set-ups (that match vehicle crash characteristics), are applied to demonstrate the technique for front seat performance as it relates to injury potential of the front occupant and rear seated children during rear impacts. The surrogate data from the above test method is combined into a "polynomial response function", such as HIC, which is developed as a function of the many variables, and allows for analytical "interpolation and extrapolation" at variable combinations not tested. A minimum of 4 test combinations are used to establish the "polynomial injury curves" as functions of two variables (i.e. impact severity and front occupant weight) for a given seat type. Inclusion of a third variable for evaluation of "seat strength effects" can be accomplished with a minimum of 8 test combinations for the factorial method. Both front adult and rear child interactions are studied. Three year-old H-III surrogates are used for the study of rear child passengers. Plots of test generated "polynomial" multi-variable HIC level curves for the front adult and rear child surrogates are presented as functions of impact severity and front occupant weight, for various seat types. Accident case head injury data of rear-seated children is used to verify the experimental-analytical method.
机译:本研究提出了一种用于测试高效的组合实验分析方法,以及与宽度参数范围分析的乘员损伤电位相关的安全系统性能的多变量分析。诸如“双层阶段”方法的实验技术,与SLED-Buck测试设置(匹配车辆碰撞特性)相结合,用于展示前座椅性能的技术,因为它与前部的伤害潜力相关后撞击期间的乘员和后部坐着的儿童。将来自上述测试方法的替代数据组合成“多项式响应函数”,例如HIC,其作为许多变量的函数开发,并且允许在未经测试的可变组合处进行分析“插值和外推”。至少4个测试组合用于建立“多项式损伤曲线”作为给定座位类型的两个变量(即冲击严重程度和前乘员重量)的函数。可以将第三种变量用于评估“座椅强度效应”,可以用至少8个测试组合来实现,用于阶乘方法。研究了前成人和后儿童相互作用。三岁的H-III代理用于后方儿童乘客的研究。对于各种座椅类型,测试前成人和后儿童替代品的测试产生的“多项式”多变量HIC水平曲线呈现为碰撞严重程度和前乘员重量的功能。后座性儿童的​​事故表壳头部损伤数据用于验证实验分析方法。

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