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Shape Design Sensitivity Analysis and Optimal Design of Structural Systems

  • Conference paper
Computer Aided Optimal Design: Structural and Mechanical Systems

Part of the book series: NATO ASI Series ((NATO ASI F,volume 27))

Abstract

The material derivative concept of continuum mechanics and an adjoint variable method of design sensitivity analysis are used to relate variations in structural shape to measures of structural performance. A domain method of shape design sensitivity analysis is used to best utilize the basic character of the finite element method that gives accurate information not on the boundary but in the domain. Implementation of shape design sensitivity analysis using finite element computer codes is discussed. Recent numerical results are used to demonstrate accuracy that can be obtained using the method. Result of design sensitivity analysis is used to carry out design optimization of a built-up structure.

Research supported by Nasa-Langley Grant NAG-1-215.

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Author information

Authors and Affiliations

  1. Department of Mechanical Engineering, College of Engineering, The University of Iowa, Iowa City, Iowa, 52242, USA

    Kyung K. Choi

  2. Center for Computer Aided Design, College of Engineering, The University of Iowa, Iowa City, Iowa, 52242, USA

    Kyung K. Choi

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  1. Kyung K. Choi
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Editors and Affiliations

  1. Instituto Superior Técnico, Centro de Mecânica e Materiais da Universidade Técnica de Lisboa — CEMUL, Avenida Rovisco Pais, 1096, Lisboa Codex, Portugal

    Carlos A. Mota Soares

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© 1987 Springer-Verlag Berlin Heidelberg

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Choi, K.K. (1987). Shape Design Sensitivity Analysis and Optimal Design of Structural Systems. In: Mota Soares, C.A. (eds) Computer Aided Optimal Design: Structural and Mechanical Systems. NATO ASI Series, vol 27. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-83051-8_13

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  • DOI: https://doi.org/10.1007/978-3-642-83051-8_13

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-83053-2

  • Online ISBN: 978-3-642-83051-8

  • eBook Packages: Springer Book Archive

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