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A Reliability-Based Energy Approach for Design Optimization of Blast Resistant Composites

[+] Author Affiliations
Michael P. Sheyka, Jung J. Kim, Arife B. Altunc, Mahmoud M. Reda Taha

University of New Mexico, Albuquerque, NM

Paper No. IMECE2011-64179, pp. 765-773; 9 pages
doi:10.1115/IMECE2011-64179
From:
  • ASME 2011 International Mechanical Engineering Congress and Exposition
  • Volume 9: Transportation Systems; Safety Engineering, Risk Analysis and Reliability Methods; Applied Stochastic Optimization, Uncertainty and Probability
  • Denver, Colorado, USA, November 11–17, 2011
  • Conference Sponsors: ASME
  • ISBN: 978-0-7918-5495-2
  • Copyright © 2011 by ASME

abstract

In the last three decades, significant efforts have been conducted for developing blast-resistant composites. Some of these efforts were focused on enhancing the stiffness and the strength of the composite materials. Here, an energy approach aiming at maximizing energy absorption in composite layers is used. The optimization is based on combining two materials A and B. While material A is strong, material B is ductile, thus a mechanism of energy reflection and absorption is developed within the composite layers. In this study, a simplified dynamic model is first developed to simulate the elastoplastic behavior of a composite plate subject to blast load. For an uncertain blast event, the probability of failure of each layer is evaluated using Monte Carlo method. By assigning a relatively high probability of failure (low target reliability index) of the energy absorbing layer and a relatively low probability of failure (high target reliability index) to the strong layer, the thickness of the composite layers is optimized. A case study for the design of a two layer composite plate made of Aluminum and Titanium subjected to an uncertain blast event is simulated and presented. A finite element model of the optimal Titanium and Aluminum composite plate is developed using explicit blast simulation to confirm the efficiency of the proposed design approach.

Copyright © 2011 by ASME

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