4.5 Article

Energy absorption characteristics and multi-objective optimization of a novel reentrant hierarchical honeycomb bumper system

Journal

MECHANICS OF ADVANCED MATERIALS AND STRUCTURES
Volume 30, Issue 19, Pages 3923-3936

Publisher

TAYLOR & FRANCIS INC
DOI: 10.1080/15376494.2022.2085826

Keywords

Sandwich beam; hierarchy design; bumper system; crashworthiness analysis; multi-objective optimization

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This paper introduces hierarchy design into sandwich beams and bumper systems to enhance their mechanical performance. The study proposes two reentrant hierarchical sandwich beams and investigates their energy absorption characteristics. The hierarchical honeycombs with equilateral triangle substructures (RHT) core are introduced to the design of the bumper system. The hierarchical bumper system demonstrates better mechanical properties than traditional bumpers and aluminum foam-filled bumpers under various loading conditions. The optimization model of the hierarchical bumper system is established using OLHD and RSM, and NSGA-II is adopted for efficient parameter optimization.
This paper aims to introduce the hierarchy design into sandwich beams and bumper systems to improve their mechanical performance. Two kinds of reentrant hierarchical sandwich beams are proposed and their energy absorption characteristics have been systematically investigated. Based on its excellent energy absorption ability, the reentrant hierarchical honeycombs with equilateral triangle substructures (RHT) core are introduced to the design of the bumper system, and the hierarchical bumper system exhibits better mechanical properties than the traditional bumper and the aluminum foam-filled bumper under different loading conditions. Then, the multi-objective optimization model of the hierarchical bumper system is established by combining the optimal Latin hypercube design method (OLHD) and the response surface model (RSM). The non-dominated sorting genetic algorithm-II (NSGA-II) algorithm is adopted to optimize the design parameters. The optimization results show that the objectives are optimized efficiently, and it performs remarkable performances in bumper system design.

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