Risk assessment study on the impact of sitting posture on lumbar vibration injury based on finite element method and neural network

Different driving postures may alter the impact of vibrations on the lumbar spine. This study explores the influence of posture on the lumbar spine by analyzing the risk of intervertebral disc vibration injury. Initially, Python language was utilized to develop code to obtain 48 different postural three-dimensional finite element models of the human-chair system. Subsequently, these models underwent harmonic response analyses at frequencies of 5, 7, and 9 Hz, with the maximum Von Mises stress on the L4–L5 intervertebral disc used to calculate the risk factor. Finally, a neural network model was trained using the frequency and posture angles as input values and the risk factor as the output values, enabling prediction of intervertebral disc risk factors in more precise sitting postures. The findings reveal that the posture of the upper body plays a primary role in influencing the lumbar spine, with the thigh posture having a greater impact when the upper body is closer to a vertical position, while the influence of the lower leg posture is minimal. Across all three frequencies, the optimal angle for the upper body is 109°, 109°, 115°, and for the thighs, it is 90°, 90°, 100°. A higher risk factor is observed when the upper body is angled between 90° and 100°. Conversely, an upper body angle between 110° and 120° is deemed acceptable. Vibration at 9 Hz had the greatest impact on the risk of lumbar injury when the upper body is in or close to a vertical sitting position.

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Publication Details

Journal
Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering
Published
2024-11-08
DOI
https://doi.org/10.1177/09544070241287385
Primary Topic
Musculoskeletal pain and rehabilitation
Type
article
Field-Weighted Citation Impact
0.00

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article

Risk assessment study on the impact of sitting posture on lumbar vibration injury based on finite element method and neural network

ZhongLong Wang, Xiang Gao, Kaifeng Zhang, Ruichun Dong et al.
1 links
Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering
Musculoskeletal pain and rehabilitation
article

Risk assessment study on the impact of sitting posture on lumbar vibration injury based on finite element method and neural network

ZhongLong Wang, Xiang Gao, Kaifeng Zhang, Ruichun Dong, Shi-Hong Yu, Shuai Zhu, Shi-Fu Zheng
article en

Abstract

Different driving postures may alter the impact of vibrations on the lumbar spine. This study explores the influence of posture on the lumbar spine by analyzing the risk of intervertebral disc vibration injury. Initially, Python language was utilized to develop code to obtain 48 different postural three-dimensional finite element models of the human-chair system. Subsequently, these models underwent harmonic response analyses at frequencies of 5, 7, and 9 Hz, with the maximum Von Mises stress on the L4–L5 intervertebral disc used to calculate the risk factor. Finally, a neural network model was trained using the frequency and posture angles as input values and the risk factor as the output values, enabling prediction of intervertebral disc risk factors in more precise sitting postures. The findings reveal that the posture of the upper body plays a primary role in influencing the lumbar spine, with the thigh posture having a greater impact when the upper body is closer to a vertical position, while the influence of the lower leg posture is minimal. Across all three frequencies, the optimal angle for the upper body is 109°, 109°, 115°, and for the thighs, it is 90°, 90°, 100°. A higher risk factor is observed when the upper body is angled between 90° and 100°. Conversely, an upper body angle between 110° and 120° is deemed acceptable. Vibration at 9 Hz had the greatest impact on the risk of lumbar injury when the upper body is in or close to a vertical sitting position.

Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile EngineeringVol. 239(13)
Shandong University of Technology (CN), Hebei University of Technology (CN)
National Natural Science Foundation of China, China Postdoctoral Science Foundation, Natural Science Foundation of Shandong Province
Good health and well-being
Openalex Percentile: Top 80%
Musculoskeletal pain and rehabilitation
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