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Characteristic research of lower extremity injuries in elderly pedestrians during collisions Cover

Characteristic research of lower extremity injuries in elderly pedestrians during collisions

Open Access
|Apr 2023

Abstract

Purpose: The aim of this research is to study the trend of pedestrian lower extremity injuries during vehicle-pedestrian collisions.

Methods: In this study, pedestrian’s age, collision angle and pedestrian’s position are considered influencing factors. Nine experiments using a novel lower extremity mechanical model are designed with the orthogonal experiment method.

Results: Under the same collision angle, collisions in the left and right positions caused more serious tibia injuries than the middle position. As for the collision angle, the tibial injury at +45° is more significant than the tibial injury at −45°, and the injury of oblique collisions is slightly greater than that at 0°. Moreover, tibial injury is more sensitive to research variables than femoral injury. When the collision angle and position are changed, the difference ratio of tibia stress is by 483.2% higher than that of femur stress. The axial force and bending moment of the quadriceps tendon in the left-position collision reach peak values, which are 3.83 kN and 165.98 Nm, respectively. The peak quadriceps tendon axial force is captured with the collision angle of −45°, and the peak quadriceps tendon bending moment is obtained with a collision angle of +45°.

Conclusions: The effects of differences in impact position and angle on lower extremity injury in the elderly were analyzed, and the results of this study can be used as a reference for research on lower extremity protection.

DOI: https://doi.org/10.37190/abb-02172-2022-05 | Journal eISSN: 2450-6303 | Journal ISSN: 1509-409X
Language: English
Page range: 95 - 108
Submitted on: Dec 23, 2022
Accepted on: Mar 31, 2023
Published on: Apr 26, 2023
Published by: Wroclaw University of Science and Technology
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2023 Sen Xiao, Lidong Zhang, Jindong Wu, Xinran Liu, Xiaoang Liu, Hao Zhang, published by Wroclaw University of Science and Technology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.