Fundamental Studies on Crashworthiness Design with Uncertainties in the System

Abstract

Previous research [1] using an advanced multi-domain topology optimization technique has shown a great promise for the crashworthiness design using the new technique. In this paper, we try to answer some fundamental questions regarding the crashworthiness design, which include: 1) what are the fundamental crash mechanisms of a general crash process; 2) how the uncertainties in the system will affect the crash behavior of a structure; and 3) what is the proper approach for the crashworthiness design optimization that will have needed effectiveness and efficiency. In this paper, three different kinds of uncertainties, uncertainties in the structural parameters, the modeling processes, and the loading and boundary conditions, will be considered to assess the effects of the uncertainties in the crash process. The possible crash mechanisms are then studied to provide an understanding for the design problem. A preliminary discussion on a systematic step by step design approach is provided, which employs linear static finite element analyses to improve the efficiency of the design process. This approach will be extended in the next step for more general crashworthiness design problems and with the use of the topology optimization.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2005
Accession Number
ADA576785

Entities

People

  • Basavaraju Raju
  • Chang Qi
  • Christophe Pierre
  • Hui Wang
  • Noboru Kikuchi
  • Zheng-dong Ma

Organizations

  • University of Michigan

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Aircrafts
  • Boundaries
  • Computational Science
  • Computer Simulations
  • Engineering
  • Failure Mode And Effect Analysis
  • Finite Element Analysis
  • Geometry
  • Mechanical Engineering
  • Mechanical Properties
  • Simulations
  • Stress Concentration
  • Topology
  • Topology Optimization
  • Uncertainty
  • Vehicles
  • Walls

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Aerospace Engineering
  • Theoretical Analysis.