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Design Optimization of Composite Cylindrical Shells under Uncertainty

B. Kriegesmann1, R. Rolfes1, E. L. Jansen1, I. Elishakoff2, C. Hühne3, A. Kling3

Leibniz University Hannover, Institute of Structural Analysis, Germany
Florida Atlantic University, Department of Ocean and Mechanical Engineering, USA
German Aerospace Center (DLR), Institute of Composite Structures and Adaptive Systems, Germany

Computers, Materials & Continua 2012, 32(3), 177-200. https://doi.org/10.3970/cmc.2012.032.177

Abstract

Four different approaches for the design of axially compressed cylindrical shells are presented, namely (1) the knockdown factor (KDF) concept, (2) the single perturbation load approach, (3) a probabilistic design procedure and (4) the convex anti-optimization approach. The different design approaches take the imperfection sensitivity and the scatter of input parameters into account differently. In this paper, the design of a composite cylinder is optimized considering the ply angles as design variables. The KDF concept provides a very conservative design load and in addition an imperfection sensitive design, whereas the other approaches lead to a significantly less conservative design load and to a less imperfection sensitive design configuration. The ways in which imperfection sensitivity is treated by the different approaches and how these influence the optimal design configuration is discussed.

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APA Style
Kriegesmann, B., Rolfes, R., Jansen, E.L., Elishakoff, I., Hühne, C. et al. (2012). Design optimization of composite cylindrical shells under uncertainty. Computers, Materials & Continua, 32(3), 177-200. https://doi.org/10.3970/cmc.2012.032.177
Vancouver Style
Kriegesmann B, Rolfes R, Jansen EL, Elishakoff I, Hühne C, Kling A. Design optimization of composite cylindrical shells under uncertainty. Comput Mater Contin. 2012;32(3):177-200 https://doi.org/10.3970/cmc.2012.032.177
IEEE Style
B. Kriegesmann, R. Rolfes, E.L. Jansen, I. Elishakoff, C. Hühne, and A. Kling, “Design Optimization of Composite Cylindrical Shells under Uncertainty,” Comput. Mater. Contin., vol. 32, no. 3, pp. 177-200, 2012. https://doi.org/10.3970/cmc.2012.032.177



cc Copyright © 2012 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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