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Development of a multidisciplinary design optimization test simulator

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Abstract

Many of the method development efforts in the field of multidisciplinary design optimization (MDO) attempt to simplify the design of a large, complex system by dividing the system into a series of smaller, simpler, and coupled subsystems. A representative and efficient means of determining the feasibility and robustness of MDO methods is crucial. This paper describes the construct and applications of a test simulator, CASCADE (Complex Application Simulator for the Creation of Analytical Design Equations), that is capable of randomly generating and then converging a system of coupled analytical equations, of user-specified size (Hulme and bloebaum 1996). CASCADE-generated systems can be used for test sequencing and system reduction strategies, convergence strategies, optimization techniques, MDO methods, and distributed computing techniques (via Parallel Virtual Machine), among others.

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Authors and Affiliations

  1. Multidisciplinary Optimization and Design Engineering Laboratory (MODEL), Department of Mechanical and Aerospace Engineering, State University of New York at Buffalo, 14260, Buffalo, NY, USA

    K. F. Hulme & C. L. Bloebaum

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  1. K. F. Hulme
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  2. C. L. Bloebaum
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Hulme, K.F., Bloebaum, C.L. Development of a multidisciplinary design optimization test simulator. Structural Optimization 14, 129–137 (1997). https://doi.org/10.1007/BF01812515

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  • DOI: https://doi.org/10.1007/BF01812515

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