Review of improved Monte Carlo methods in uncertainty-based design optimization for aerospace vehicles

Author:

Hu Xingzhi,Chen Xiaoqian,Parks Geoffrey T.,Yao Wen

Funder

National Nature Science Foundation of China

Fund of Innovation by Graduate School of National University of Defense Technology

Fund of Innovation by Hunan Province, China

Publisher

Elsevier BV

Subject

Mechanical Engineering,Mechanics of Materials,Aerospace Engineering

Reference117 articles.

1. Review of uncertainty-based multidisciplinary design optimization methods for aerospace vehicles;Yao;Progress. Aerosp. Sci.,2011

2. Special edition on uncertainty quantification of the AIAA journal of aerospace computing, information, and communication;Crespo;J. Aerosp. Inf. Syst.,2015

3. Optimization under uncertainty: state-of-the-art and opportunities;Sahinidis;Comput. Chem. Eng.,2004

4. W. Yao, J. Guo, X. Chen, M. Van Tooren, Utilizing uncertainty multidisciplinary design optimization for conceptual design of space systems, in: Proceedings of the 8th Annual Conference on Systems Engineering Research, CSER 2010, Hoboken, NJ, USA, 17–19 March 2010, pp. 324–333.

5. Sequential optimization and mixed uncertainty analysis method for reliability-based optimization;Yao;AIAA J.,2013

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