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Actual State of Structural Optimization

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Discretization Methods and Structural Optimization — Procedures and Applications

Part of the book series: Lecture Notes in Engineering ((LNENG,volume 42))

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Abstract

After being able to determine the structural behaviour by means of finite methods, an important goal of engineering activities is to improve and to optimize technical designs, structural assemblies and structural components. The task of structural optimization is to support the engineer in searching for the best possible design alternatives of specific structures. The “best possible” or “optimal” structure is the structure which is highly corresponding to the designer’s desired concept and his objectives whilst at the same time meeting the functional, manufacturing and application demands. In comparison to the “Trial and Error”- method generally used in the engineering environment and based on an intuitive empirical approach the determination of optimal solutions by applying mathematical optimization procedures is more reliable and efficient if correctly applied. These procedures are increasingly entering industrial practice. In order to be able to apply the structural optimization methods to an optimization task, it must be possible to express both the design objectives and the constraints by way of mathematical functions.

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Authors and Affiliations

  1. University of Siegen, D 59, Siegen, Germany

    H. A. Eschenauer

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  1. H. A. Eschenauer
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Editors and Affiliations

  1. Institute of Mechanics and Control Engineering, University of Siegen, 5900, Siegen, Germany

    Hans A. Eschenauer

  2. Dept. of Civil Engineering, University of Essen, 4300, Essen, Germany

    Georg Thierauf

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© 1989 Springer-Verlag Berlin, Heidelberg

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Eschenauer, H.A. (1989). Actual State of Structural Optimization. In: Eschenauer, H.A., Thierauf, G. (eds) Discretization Methods and Structural Optimization — Procedures and Applications. Lecture Notes in Engineering, vol 42. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-83707-4_1

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  • DOI: https://doi.org/10.1007/978-3-642-83707-4_1

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-50784-0

  • Online ISBN: 978-3-642-83707-4

  • eBook Packages: Springer Book Archive

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