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Global-local structural optimization using response surfaces of local optimization margins

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Abstract

A general decomposition method developed by Haftka and Watson is applied to global-local structural optimization problems. First, a large number of component optimizations for maximization of margins are performed. Response surface approximations (RSAs) for maximum margins of component optimization are constructed. At the system-level optimization, the RSAs of maximum margins are used as surrogates for the components. One advantage of the decomposition approach is that it allows much of the search for a global optimum to be conducted in low dimensions for each component separately. Minimization of a portal frame weight with eight local optima is used to demonstrate the approach.

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Authors and Affiliations

  1. Department of Mechanical and Aerospace Engineering, University of Florida, Gainesville, FL, 32611-6250, USA

    B. Liu & R.T. Haftka

  2. Departments of Computer Science and Mathematics, Virginia Polytechnic Institute and State University, Blacksburg, VA, 24061, USA

    L.T. Watson

Authors
  1. B. Liu
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  2. R.T. Haftka
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  3. L.T. Watson
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Correspondence to B. Liu.

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Liu, B., Haftka, R. & Watson, L. Global-local structural optimization using response surfaces of local optimization margins. Struct Multidisc Optim 27, 352–359 (2004). https://doi.org/10.1007/s00158-004-0393-0

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  • DOI: https://doi.org/10.1007/s00158-004-0393-0

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