Examination of human body mass influence on pedestrian pelvis injury prediction using a human FE model

Gunji, Yasuaki<sup>1</sup>; Okamoto, Masayoshi<sup>1</sup>; Takahashi, Yukou<sup>1</sup>

Affiliations

¹Honda R&D., Co., Ltd. Automobile R&D Center

Abstract and keywords

This research examined the influence of the change of the mass of each part of a human body on pelvis injury using the compression between the right and left acetabulum of the human FE model, which was identified as the best predictor of pubic rami fracture by a previous research. Four vehicle models were used to represent different loading locations from the hood edge. The sensitivity of the mass of each part of a human body to the pelvis injury index was analyzed by changing the mass density of the following parts to 1/10: 1) contralateral thigh and leg flesh, 2) contralateral leg flesh, 3) struck side thigh and leg flesh, 4) struck side leg flesh. In addition, 5) the mass of the upper body was reduced to 1/10. The changes of the peak values of the pelvis injury index were investigated for the combinations of these cases and the four vehicles. The mechanism behind these differences was discussed by investigating time histories of the pelvis injury index, pelvis and lower limb internal loads. In addition, the assumptions of the mechanism were developed and validated using a simplified pedestrian model that represents the mechanism in a more simplistic manner than that of the actual human.

Keywords: pedestrian, pelvis, human body, finite element method

Links

URL: http://www.ircobi.org/downloads/irc12/pdf_files/40.pdf

Cited Works (4)

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Cited By (4)

Year	Entry
2019	Isshiki T, Higuchi Y-k, Kato R, Antona-Makoshi J, Konosu A, Takahashi Y. Development of a pedestrian pelvis impactor CAE model with potential to address pelvis injury loads and injury mechanisms. In: Proceedings of the 2019 International IRCOBI Conference on the Biomechanics of Injury. September 11-13, 2019; Florence, Italy.506-523.
2023	Trube N, Matt P, Jenerowicz M, Ballal N, Soot T, Fressmann D, Lazarov N, Moennich J, Lich T, Lerge P, Nölle LV, Schmitt S. Plausibility assessment of numerical cyclist to vehicle collision simulations based on accident data. In: Proceedings of the 2023 International IRCOBI Conference on the Biomechanics of Injury. September 13-165, 2023; Cambridge, United Kingdom.113-135.
2020	Salem M. Investigation of Pelvic Bone Fracture Mechanism and Simulated Treatment [PhD thesis]. Edmonton, AB: University of Alberta; 2020.
2017	Chen H. Evaluating Pedestrian Head Sub-System Test Procedure Against Full-Scale Vehicle-Pedestrian Impact Using Numerical Models [PhD thesis]. Charlottesville, VA: University of Virginia; May 2017.