Optimizing Reinforcement Beam for Low-Speed Collision Performance Using Multicriteria Decision Making

DOI

10.2991/978-94-6239-687-6_20How to use a DOI?

Keywords

Reinforcement Beam; Finite Element Method; Simple Additive Weighting

Abstract

Ensuring vehicle safety during low-speed collisions is a fundamental aspect of modern automotive engineering. This study optimizes bumper reinforcement beam designs for sedan vehicles through systematically evaluating section profiles, materials, and thicknesses. Three section types (C Hat, B Hat, and D Hat), three materials (AL2024T86, CFRP T700S, and Steel Bare /E.G.-H.F.80Y 100T), and three thickness variants (4 mm, 5 mm, and 6 mm) were analyzed using finite element simulations under longitudinal and lateral impact conditions following UN ECE R42 standards. Key performance parameters included energy absorption, deformation resistance, and stress distribution. The Simple Additive Weighting (SAW) method was employed to determine the optimal configuration objectively. Results indicate that the C Hat section with AL2024T86 achieved the highest score (1.218) in the initial evaluation. Subsequent analysis across materials reaffirmed AL2024T86 as the superior material (1.7731). Final testing based on thickness variations revealed that a 6 mm C Hat section using AL2024T86 yielded the most effective combination (1.001). The findings offer a quantitative framework for reinforcement beam selection, contributing to improved crashworthiness and structural efficiency in automotive design.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Frans Tohom
AU  - Leonardo Paksi Sukoco
AU  - Ethys Pranoto
PY  - 2026
DA  - 2026/05/24
TI  - Optimizing Reinforcement Beam for Low-Speed Collision Performance Using Multicriteria Decision Making
BT  - Proceedings of the 8th Mechanical and Industrial Engineering Symposium (MIE 2025)
PB  - Atlantis Press
SP  - 271
EP  - 285
SN  - 2589-4943
UR  - https://doi.org/10.2991/978-94-6239-687-6_20
DO  - 10.2991/978-94-6239-687-6_20
ID  - Tohom2026
ER  -