Crashworthiness Design and Multi-Objective Optimization for Bio-Inspired Hierarchical Thin-Walled Structures

Optimization foam filled thin-walled structures for the crashworthiness capability: Review

In automotive industry, foam-filled structures have aroused increasing interest because of lightweight and capacity of energy absorption. Two types of foam filled thin walled structures such as the uniform foam filled (UF) and the functionally graded foam (FGF). To improve crashworthiness performance, FGF are used to fill structures, unlike existing uniform foam materials. In addition, by seeki...

Uncertainty Quantification Based Multi- Objective Optimization for Crashworthiness Design

This paper presents a methodology for uncertainty quantification based multi-objective optimization of automotive body components under impact scenario. Conflicting design requirements arise as one tries, for example, to minimize structural mass while maximizing energy absorption of an automotive rail section under structural and occupant safety related performance measure constraints. Uncertai...

Structural Optimization of Thin-Walled Tubular Structures using Weighted Multi- Objective Approach

1. Abstract This paper focuses on improvement of the crashworthiness of tubular structures using compliant mechanism approach to intelligently tailor local mechanical properties throughout the structure. The ideal crashworthy performance for energy absorbing tubular structures can be achieved by promoting progressive buckling throughout the length of the tube to occur. Progressive buckling is t...

Multi-objective Crashworthiness Optimization of the Aluminum Foam-filled Tubes

In order to reduce both the weight of vehicles and the damage of occupants in a crash event simultaneously, it is necessary to perform a multi-objective optimization of the automotive energy absorbing components. In this paper, axial impact crushing behavior of the aluminum foam-filled thin-walled tubes are studied by the finite element method using commercial software ABAQUS. Comparison of the...

Bio-Inspired Algorithms and Preferences for Multi-objective Problems