Trajectory Calculation for Dummy Part Trajectory in Vehicle Collision Tests

Car crash tests are universally acknowledged for their critical role in assessing the passive safety performance of vehicles, given their straightforward and compelling evidence. Despite their effectiveness, traditional physical crash tests are notorious for their lengthy setup times and high costs. The evolution of Finite Element Analysis (FEA) technology, complemented by the improved precision of FEA dummies, has paved the way for evaluating passive safety through computational simulations. In the domain of virtual testing, benchmarking is essential for validating the accuracy of simulation outcomes. Among the pivotal benchmarking metrics, the congruence of dummy limb and head trajectories emerges as a dependable measure of the FEA model’s accuracy. This alignment is especially significant, as the head is recognized as one of the most vulnerable areas during a crash.

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Publication Details

Journal
Frontiers in Computing and Intelligent Systems
Published
2024-11-28
DOI
https://doi.org/10.54097/n9zne579
Primary Topic
Automotive and Human Injury Biomechanics
Type
article
Field-Weighted Citation Impact
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article

Trajectory Calculation for Dummy Part Trajectory in Vehicle Collision Tests

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Frontiers in Computing and Intelligent Systems
Automotive and Human Injury Biomechanics
article

Trajectory Calculation for Dummy Part Trajectory in Vehicle Collision Tests

Yanting Zheng, Qingxiang Guo, Lujiang Li, Mengqi Li, Zikai Zhao, Limin Wang
article en

Abstract

Car crash tests are universally acknowledged for their critical role in assessing the passive safety performance of vehicles, given their straightforward and compelling evidence. Despite their effectiveness, traditional physical crash tests are notorious for their lengthy setup times and high costs. The evolution of Finite Element Analysis (FEA) technology, complemented by the improved precision of FEA dummies, has paved the way for evaluating passive safety through computational simulations. In the domain of virtual testing, benchmarking is essential for validating the accuracy of simulation outcomes. Among the pivotal benchmarking metrics, the congruence of dummy limb and head trajectories emerges as a dependable measure of the FEA model’s accuracy. This alignment is especially significant, as the head is recognized as one of the most vulnerable areas during a crash.

Frontiers in Computing and Intelligent SystemsVol. 10(2)
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Openalex Percentile: Top 60%
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