Print Email Facebook Twitter A surrogate based multistage-multilevel optimization procedure for multidisciplinary design optimization Title A surrogate based multistage-multilevel optimization procedure for multidisciplinary design optimization Author Yao, W. Chen, X. Ouyang, Q. Van Tooren, M. Faculty Aerospace Engineering Department Aerospace Structures and Design Methodolody Date 2011-09-27 Abstract Optimization procedure is one of the key techniques to address the computational and organizational complexities of multidisciplinary design optimization (MDO). Motivated by the idea of synthetically exploiting the advantage of multiple existing optimization procedures and meanwhile complying with the general process of satellite system design optimization in conceptual design phase, a multistage-multilevel MDO procedure is proposed in this paper by integrating multiple-discipline-feasible (MDF) and concurrent subspace optimization (CSSO), termed as MDFCSSO. In the first stage, the approximation surrogates of high-fidelity disciplinary models are built by disciplinary specialists independently, based on which the single level optimization procedure MDF is used to quickly identify the promising region and roughly locate the optimum of the MDO problem. In the second stage, the disciplinary specialists are employed to further investigate and improve the baseline design obtained in the first stage with highfidelity disciplinary models. CSSO is used to organize the concurrent disciplinary optimization and system coordination so as to allow disciplinary autonomy. To enhance the reliability and robustness of the design under uncertainties, the probabilistic version of MDF-CSSO (PMDF-CSSO) is developed to solve uncertainty-based optimization problems. The effectiveness of the proposed methods is verified with one MDO benchmark test and one practical satellite conceptual design optimization problem, followed by conclusion remarks and future research prospects. Subject multidisciplinary design optimization (MDO)optimization proceduremultiple-discipline-feasible (MDF)concurrent subspace optimization (CSSO)surrogate model To reference this document use: http://resolver.tudelft.nl/uuid:65304890-5799-4154-b4f0-221e6b646c47 DOI https://doi.org/10.1007/s00158-011-0714-z Publisher Springer ISSN 1615-147X Source http://www.springerlink.com/content/k8646172jj733826/ Source Structural and multidisciplinary optimization, 45 (4), 2012 Part of collection Institutional Repository Document type journal article Rights (c)2012 Yao, W., Chen, X., Ouyang, Q., Van Tooren, M., Springer-Verlag Files PDF 2012-89Yao.pdf 953.32 KB Close viewer /islandora/object/uuid:65304890-5799-4154-b4f0-221e6b646c47/datastream/OBJ/view