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Failure sensitivity analysis of safety belt guide ring parameter design based on BP neural network

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Abstract

When the car suddenly collides, the webbing bunching phenomenon will occur at the upper guide ring (D-ring) of the height adjuster of the seat belt, causing serious damage to the human chest by local positive pressure. In this paper, finite element method is used to calculate lateral displacement of seat belt. The BP neural network training method was used to fit the relationship between the displacement response and the random parameters, and the reliability function was established. The reliability and reliability sensitivity of random parameters were calculated by first-order second-moment method, and the influence rule of belt guide ring and belt parameters on reliability was obtained, which provided a theoretical basis for the parameter reliability design of safety belt guide ring.

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Funding

This work was supported by the Chinese National Natural Science Foundation under Grant number 52172401,U1708254 and Fundamental Research Funds for the Central Universities under Grant number N2003022.

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Authors and Affiliations

  1. School of Mechanical Engineering & Automation, Northeastern University Shenyang, Shenyang, 110819, China

    Zhou Yang & Qiang Xiao

  2. College of Mechanical and Automotive Engineering, Zhaoqing University, Zhaoqing, 526061, China

    Yi-min Zhang

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  1. Zhou Yang
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Correspondence to Zhou Yang.

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Yang, Z., Xiao, Q. & Zhang, Ym. Failure sensitivity analysis of safety belt guide ring parameter design based on BP neural network. Int J Adv Manuf Technol 124, 4307–4315 (2023). https://doi.org/10.1007/s00170-022-09619-w

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  • DOI: https://doi.org/10.1007/s00170-022-09619-w

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