Restraint System Optimizations Using Diverse Human Body Models in Frontal Crashes

IF 0.7 Q4 TRANSPORTATION SCIENCE & TECHNOLOGY SAE International Journal of Transportation Safety Pub Date : 2023-09-20 DOI:10.4271/09-11-02-0018
Zhenhao Yang, Amoghsidd Desai, Kyle Boyle, Jonathan Rupp, Matthew Reed, Jingwen Hu
{"title":"Restraint System Optimizations Using Diverse Human Body Models in Frontal Crashes","authors":"Zhenhao Yang, Amoghsidd Desai, Kyle Boyle, Jonathan Rupp, Matthew Reed, Jingwen Hu","doi":"10.4271/09-11-02-0018","DOIUrl":null,"url":null,"abstract":"<div><b>Objective:</b> This study aimed to optimize restraint systems and improve safety equity by using parametric human body models (HBMs) and vehicle models accounting for variations in occupant size and shape as well as vehicle type.</div> <div><b>Methodology:</b> A diverse set of finite element (FE) HBMs were developed by morphing the GHBMC midsize male simplified model into statistically predicted skeleton and body shape geometries with varied age, stature, and body mass index (BMI). A parametric vehicle model was equipped with driver, front passenger, knee, and curtain airbags along with seat belts with pretensioner(s) and load limiter and has been validated against US-NCAP results from four vehicles (Corolla, Accord, RAV4, F150). Ten student groups were formed for this study, and each group picked a vehicle model, occupant side (driver vs. passenger), and an occupant model among the 60 HBMs. About 200 frontal crash simulations were performed with 10 combinations of vehicles (n = 4) and occupants (m = 8). The airbag inflation, airbag vent size, seatbelt load limiter, and steering column collapse force were varied to reach better occupant protection. The joint injury probability (Pjoint) combining head, neck, chest, and lower extremity injury risks was used for the design optimization. Injury risk curves were scaled based on the skeleton size and shape of each HBM.</div> <div><b>Results and Conclusions:</b> We observed that tall and heavier male occupants tend to strike through the airbag leading to higher head injury risk; older and female occupants tend to sustain higher chest injury risk, while obese occupants tend to have higher lower extremity injury risk. After design optimizations, the average <i>P</i>joint was reduced from 0.576 ± 0.218 to 0.343 ± 0.044. The airbag inflation and venting were found to be highly effective in head protection, while the belt load limit and steering column force were sensitive to chest injury risks. Conflicting parameter effects were found between head and chest injuries and among different occupants, highlighting the complexity of achieving safety equity across a diverse population. This study demonstrated the benefit of adaptive restraint systems for a diverse population.</div>","PeriodicalId":42847,"journal":{"name":"SAE International Journal of Transportation Safety","volume":"161 1","pages":"0"},"PeriodicalIF":0.7000,"publicationDate":"2023-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"SAE International Journal of Transportation Safety","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4271/09-11-02-0018","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"TRANSPORTATION SCIENCE & TECHNOLOGY","Score":null,"Total":0}
引用次数: 1

Abstract

Objective: This study aimed to optimize restraint systems and improve safety equity by using parametric human body models (HBMs) and vehicle models accounting for variations in occupant size and shape as well as vehicle type.
Methodology: A diverse set of finite element (FE) HBMs were developed by morphing the GHBMC midsize male simplified model into statistically predicted skeleton and body shape geometries with varied age, stature, and body mass index (BMI). A parametric vehicle model was equipped with driver, front passenger, knee, and curtain airbags along with seat belts with pretensioner(s) and load limiter and has been validated against US-NCAP results from four vehicles (Corolla, Accord, RAV4, F150). Ten student groups were formed for this study, and each group picked a vehicle model, occupant side (driver vs. passenger), and an occupant model among the 60 HBMs. About 200 frontal crash simulations were performed with 10 combinations of vehicles (n = 4) and occupants (m = 8). The airbag inflation, airbag vent size, seatbelt load limiter, and steering column collapse force were varied to reach better occupant protection. The joint injury probability (Pjoint) combining head, neck, chest, and lower extremity injury risks was used for the design optimization. Injury risk curves were scaled based on the skeleton size and shape of each HBM.
Results and Conclusions: We observed that tall and heavier male occupants tend to strike through the airbag leading to higher head injury risk; older and female occupants tend to sustain higher chest injury risk, while obese occupants tend to have higher lower extremity injury risk. After design optimizations, the average Pjoint was reduced from 0.576 ± 0.218 to 0.343 ± 0.044. The airbag inflation and venting were found to be highly effective in head protection, while the belt load limit and steering column force were sensitive to chest injury risks. Conflicting parameter effects were found between head and chest injuries and among different occupants, highlighting the complexity of achieving safety equity across a diverse population. This study demonstrated the benefit of adaptive restraint systems for a diverse population.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于不同人体模型的正面碰撞约束系统优化
& lt; div> & lt; b>目的:& lt; / b>本研究旨在通过参数化人体模型(HBMs)和车辆模型来优化约束系统并提高安全公平性,该模型考虑了乘员尺寸和形状以及车辆类型的变化。& lt; div> & lt; b>方法:& lt; / b>通过将GHBMC中型男性简化模型变形为具有不同年龄、身高和体重指数(BMI)的统计预测骨骼和体型几何,开发了一套多样化的有限元(FE) HBMs。参数化车辆模型配备了驾驶员、前排乘客、膝盖和窗帘安全气囊,以及带预紧器和负载限制器的安全带,并与四辆车(花冠、雅阁、RAV4、F150)的US-NCAP结果进行了验证。本研究分为10个学生组,每组从60个HBMs中选择一种车型、乘员侧(驾驶员vs.乘客)和一种乘员模型。对10组车辆(n = 4)和乘员(m = 8)进行了约200次正面碰撞模拟。为了更好地保护乘员,研究人员对气囊充气、气囊通风口大小、安全带载荷限制器和转向柱坍塌力进行了调整。采用结合头、颈、胸、下肢损伤风险的关节损伤概率(Pjoint)进行设计优化。损伤风险曲线根据每个HBM的骨骼大小和形状进行缩放。<div>< & b>我们观察到,高大、肥胖的男性乘员往往会撞穿安全气囊,导致更高的头部受伤风险;老年人和女性居住者往往有较高的胸部损伤风险,而肥胖的居住者往往有较高的下肢损伤风险。设计优化后,平均<i>P</i>关节由0.576±0.218降至0.343±0.044。气囊充气和排气对头部保护效果较好,而安全带负荷限制和转向柱力对胸部损伤风险较敏感。在头部和胸部受伤以及不同乘员之间发现了相互冲突的参数效应,突出了在不同人群中实现安全公平的复杂性。这项研究证明了适应性约束系统对不同种群的好处。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
SAE International Journal of Transportation Safety
SAE International Journal of Transportation Safety TRANSPORTATION SCIENCE & TECHNOLOGY-
CiteScore
1.10
自引率
0.00%
发文量
21
期刊最新文献
Experimental Study on Ship Squat in Intermediate Channel Study of Vehicle-Based Metrics for Assessing the Severity of Side Impacts Distilled Routing Transformer for Driving Behavior Prediction Reviewers Thermal Modeling of the Electric Vehicle Fire Hazard Effects on Parking Building
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1