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Erschienen in: Structural and Multidisciplinary Optimization 6/2018

30.06.2018 | RESEARCH PAPER

Pre-bent shape design of full free-form curved beams using isogeometric method and semi-analytical sensitivity analysis

verfasst von: Seyed Farhad Hosseini, Behnam Moetakef-Imani, Saeid Hadidi-Moud, Behrooz Hassani

Erschienen in: Structural and Multidisciplinary Optimization | Ausgabe 6/2018

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Abstract

In this paper, isogeometric analysis (IGA) is employed to solve the problem of a curved beam with free-form geometry, arbitrary loading, and variable flexural/axial rigidity. The main objective of the study is to develop a unified approach for full free-from curved beam problems that can be integrated with a newly developed semi-analytical sensitivity analysis to solve pre-bent shape design problems. The required set of B-spline control points are calculated using an interpolation technique based on chord-length parameterization. The one-to-one correspondence is considered for parameters of the geometry, loading, and rigidity which is proven to have extreme importance. An IGA curved beam element is suggested based on the Euler-Bernoulli beam theory for the general curvilinear coordinate. The validity and effectiveness of the proposed formulation is confirmed by application to a variety of examples. Moreover, three shape optimization examples are taken into consideration. In the first two examples, the pre-bent shapes of spiral and Tschinhausen curved beams with free-form geometry under distributed loading are obtained. In the third example, the pre-bending problem of wind turbine blades is addressed as an industrial example.

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Metadaten
Titel
Pre-bent shape design of full free-form curved beams using isogeometric method and semi-analytical sensitivity analysis
verfasst von
Seyed Farhad Hosseini
Behnam Moetakef-Imani
Saeid Hadidi-Moud
Behrooz Hassani
Publikationsdatum
30.06.2018
Verlag
Springer Berlin Heidelberg
Erschienen in
Structural and Multidisciplinary Optimization / Ausgabe 6/2018
Print ISSN: 1615-147X
Elektronische ISSN: 1615-1488
DOI
https://doi.org/10.1007/s00158-018-2041-0

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