Optimization of Laminating Angles for Skirt Panels of EMUs Front Using Composite Materials Based on the Cheetah Optimizer
Download PDF
$currentUrl="http://$_SERVER[HTTP_HOST]$_SERVER[REQUEST_URI]"

Keywords

Composite
Cheetah Optimizer
EMU
FEA

DOI

10.26689/jera.v9i5.11318

Submitted : 2025-08-27
Accepted : 2025-09-11
Published : 2025-09-26

Abstract

With the development of composite materials, their lightweight and high-strength characteristics have caused more widespread use from aerospace applications to automotive and rail transportation sectors, significantly reducing the energy consumption during the operation of EMUs (Electric Multiple Units). This study aims to explore the application of composite materials in the lightweight design of EMU front skirts and proposes a design method based on three-dimensional Hashin failure criteria and the Cheetah Optimizer (CO) to achieve maximum lightweight efficiency. The UMAT subroutine was developed based on the three-dimensional Hashin failure criteria to calculate failure parameters, which were used as design parameters in the CO. The model calculations and result extraction were implemented in MATLAB, and the Cheetah Optimizer iteratively determined the optimal laminating angle design that minimized the overall failure factor. After 100 iterations, ensuring structural integrity, the optimized design reduced the weight of the skirt panel by 60% compared to the original aluminum alloy structure, achieving significant lightweight benefits. This study provides foundational data for the lightweight design of EMUs.

References

Ying L, Qian W, Lei L, et al., 2025, Structural Integrity Issues of Composite Materials and Structures in Future Transportation Equipment. Composite Structures, 358: 118943.

Huang B, Li ZH, Tian XZ, et al., 2022, Concurrent Topology and Fiber Orientation Optimization of CFRP Structures in Space-Borne Optical Remote Sensor. Optik, 267: 169652.

Islam MR, Hossain MF, Rana MS, et al., 2025, Effect of Fiber Orientation on Mechanical Properties of JUCO Fiber Reinforced Epoxy Composites. Hybrid Advances, 8: 100386

Sohouli A, Yildiz M, Suleman A, 2017, Design Optimization of Thin-Walled Composite Structures Based on Material and Fiber Orientation. Composite Structures, 176: 1081–1095.

Zhang H, Li S, Zh P, et al., 2024, A Multiscale Reliability-Based Design Optimization Method for Carbon-Fiber-Reinforced Composite Drive Shafts. CMES–Computer Modeling in Engineering & Sciences, 140(2): 1975–1996.

Tran VT, Nguyen TK, Nguyen Xuan H, et al., 2024, Meta-Heuristic Optimization Algorithms for Vibration and Buckling Analysis of Laminated Composite Plates. Engineering Analysis with Boundary Elements, 169(PA): 105974.

Wu C, Zhang R, Tang F, et al., 2023, Vibration Optimization of Cantilevered Bistable Composite Shells Based on Machine Learning. Engineering Applications of Artificial Intelligence, 126(5): 107158.

Wang Q, Qin H, Jia L, et al., 2024, Failure Prediction and Optimization for Composite Pressure Vessel Combining FEM Simulation and Machine Learning Approach. Composite Structures, 337: 118099.

Akbari MA, Zare M, Azizipanah-Abarghooee R, et al., 2022, The Cheetah Optimizer: A Nature-Inspired Metaheuristic Algorithm for Large-Scale Optimization Problems. Scientific Reports, 12(1): 10953.

Zhang C, Duodu EA, Gu J, 2017, Finite Element Modeling of Damage Development in Cross-Ply Composite Laminates Subjected to Low Velocity Impact. Composite Structures, 173: 219–227.

Divse V, Marla D, Joshi SS, 2023, Progressive Damage Analysis in an Open Hole Compression of FRP Laminates Including Fiber Kinking and Pre-Existing Damage. Composites Part A: Applied Science and Manufacturing, 169: 107523.

Singh D, 2018, Comparison of Carbon Steel and Composite Side Wall of Light Rail Vehicle by Finite Element Analysis, thesis, The University of Texas at Arlington.