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使用人体有限元模型研究碰撞前速度降低对乘员响应的影响。

The effect of precrash velocity reduction on occupant response using a human body finite element model.

作者信息

Guleyupoglu B, Schap J, Kusano K D, Gayzik F S

机构信息

a Wake Forest University School of Medicine.

b Virginia Tech-Wake Forest University Center for Injury Biomechanics , Winston Salem , North Carolina.

出版信息

Traffic Inj Prev. 2017 Jul 4;18(5):508-514. doi: 10.1080/15389588.2016.1269896. Epub 2017 Jan 19.

Abstract

OBJECTIVE

The objective of this study is to use a validated finite element model of the human body and a certified model of an anthropomorphic test dummy (ATD) to evaluate the effect of simulated precrash braking on driver kinematics, restraint loads, body loads, and computed injury criteria in 4 commonly injured body regions.

METHODS

The Global Human Body Models Consortium (GHBMC) 50th percentile male occupant (M50-O) and the Humanetics Hybrid III 50th percentile models were gravity settled in the driver position of a generic interior equipped with an advanced 3-point belt and driver airbag. Fifteen simulations per model (30 total) were conducted, including 4 scenarios at 3 severity levels: median, severe, and the U.S. New Car Assessment Program (U.S.-NCAP) and 3 extra per model with high-intensity braking. The 4 scenarios were no precollision system (no PCS), forward collision warning (FCW), FCW with prebraking assist (FCW+PBA), and FCW and PBA with autonomous precrash braking (FCW + PBA + PB). The baseline ΔV was 17, 34, and 56.4 kph for median, severe, and U.S.-NCAP scenarios, respectively, and were based on crash reconstructions from NASS/CDS. Pulses were then developed based on the assumed precrash systems equipped. Restraint properties and the generic pulse used were based on literature.

RESULTS

In median crash severity cases, little to no risk (<10% risk for Abbreviated injury Scale [AIS] 3+) was found for all injury measures for both models. In the severe set of cases, little to no risk for AIS 3+ injury was also found for all injury measures. In NCAP cases, highest risk was typically found with No PCS and lowest with FCW + PBA + PB. In the higher intensity braking cases (1.0-1.4 g), head injury criterion (HIC), brain injury criterion (BrIC), and chest deflection injury measures increased with increased braking intensity. All other measures for these cases tended to decrease. The ATD also predicted and trended similar to the human body models predictions for both the median, severe, and NCAP cases. Forward excursion for both models decreased across median, severe, and NCAP cases and diverged from each other in cases above 1.0 g of braking intensity.

CONCLUSIONS

The addition of precrash systems simulated through reduced precrash speeds caused reductions in some injury criteria, whereas others (chest deflection, HIC, and BrIC) increased due to a modified occupant position. The human model and ATD models trended similarly in nearly all cases with greater risk indicated in the human model. These results suggest the need for integrated safety systems that have restraints that optimize the occupant's position during precrash braking and prior to impact.

摘要

目的

本研究的目的是使用经过验证的人体有限元模型和经认证的拟人测试假人(ATD)模型,来评估模拟预碰撞制动对驾驶员运动学、约束载荷、身体载荷以及4个常见受伤身体部位的计算损伤标准的影响。

方法

全球人体模型联盟(GHBMC)第50百分位男性乘员(M50 - O)模型和Humanetics Hybrid III第50百分位模型在配备先进三点式安全带和驾驶员安全气囊的通用车内驾驶员位置进行重力沉降。每个模型进行15次模拟(共30次),包括3个严重程度级别下的4种场景:中度、重度以及美国新车评估计划(U.S.-NCAP),每个模型额外增加3次高强度制动模拟。4种场景分别为无预碰撞系统(无PCS)、前碰撞预警(FCW)、带预制动辅助的FCW(FCW + PBA)以及带自动预碰撞制动的FCW和PBA(FCW + PBA + PB)。中度、重度和U.S.-NCAP场景的基线速度变化量(ΔV)分别为17、34和56.4千米/小时,这些值基于国家汽车抽样系统/碰撞数据系统(NASS/CDS)的碰撞重建结果。然后根据假定配备的预碰撞系统生成脉冲。约束特性和使用的通用脉冲基于文献。

结果

在中度碰撞严重程度的情况下,两个模型的所有损伤指标均显示几乎没有风险(简略损伤量表[AIS] 3+风险<10%)。在重度碰撞情况下,所有损伤指标的AIS 3+损伤风险也几乎为零。在NCAP情况下,通常无PCS时风险最高,FCW + PBA + PB时风险最低。在更高强度制动情况(1.0 - 1.4g)下,头部损伤标准(HIC)、脑损伤标准(BrIC)和胸部变形损伤指标随制动强度增加而增加。这些情况下的所有其他指标则趋于下降。ATD模型对于中度、重度和NCAP情况的预测和趋势与人体模型相似。两个模型的向前偏移在中度、重度和NCAP情况下均减小,并且在制动强度高于1.0g的情况下彼此出现差异。

结论

通过降低预碰撞速度模拟增加预碰撞系统,导致一些损伤标准降低,而其他一些指标(胸部变形、HIC和BrIC)因乘员位置改变而增加。人体模型和ATD模型在几乎所有情况下趋势相似,人体模型显示的风险更高。这些结果表明需要集成安全系统,其约束装置能够在预碰撞制动期间和碰撞前优化乘员位置。

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