4.7 Article

Crashworthiness design for functionally graded foam-filled thin-walled structures

Publisher

ELSEVIER SCIENCE SA
DOI: 10.1016/j.msea.2009.11.022

Keywords

Design optimization; Functionally graded materials (FGM); Foam-filler; Multiobjective optimization; Crashworthiness; Response surface method; Thin-wall structure

Funding

  1. National 973 Project of China [2010CB328005]
  2. NSFC [60635020]
  3. Program for Changjiang Scholar and Innovative Research Team in Chinese Universities
  4. China Scholarship Council (CSC)
  5. School of Aerospace, Mechanical and Mechatronic Engineering, The University of Sydney

Ask authors/readers for more resources

Foam-filled thin-wall structures have exhibited significant advantages in light weight and high energy absorption and been widely applied in automotive, aerospace, transportation and defence industries. Unlike existing uniform foam materials, this paper introduces functionally graded foam (FGF) fillers to fill thin-walled structures, aiming to improve crashworthiness. In this novel structure, the foam density varies throughout the depth in a certain gradient. Numerical simulations showed that gradient exponential parameter m that controls the variation of foam density has significant effect on system crashworthiness. In this study, the single and multiobjective particle swarm optimization methods are used to seek for optimal gradient, where response surface models are established to formulate specific energy absorption and peak crushing force. The results yielded from the optimizations indicate that the FGF material is superior to its uniform counterparts in overall crashworthiness. The data has considerable implication in design of FGF materials for optimizing structural crashworthiness. (C) 2009 Published by Elsevier B.V.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available