Robust design simulation: A probabilistic approach to multidisciplinary design

Journal of Aircraft

Volumn 36, Issue 1, 1999, Pages 298-307

  Mavris, Dimitri N ^a,b   Bandte, Oliver ^a,b   Delaurentis, Daniel A ^a,b  

^a GEORGIA INSTITUTE OF TECHNOLOGY   (United States)

^b Department of Aerospace Engineering ^*

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; OPTIMIZATION; PROBABILITY;

HIGH SPEED CIVIL TRANSPORT AIRCRAFTS; MULTIDISCIPLINARY DESIGN OPTIMIZATION (MDO); ROBUST DESIGN SIMULATION (RDS);

TRANSPORT AIRCRAFT;

EID: 0032739995     PISSN: 00218669     EISSN: 15333868     Source Type: Journal    
DOI: 10.2514/2.2437     Document Type: Article

References (13)

1. Hazelrigg, G. A., Systems Engineering: An Approach to Information-Based Design, Prentice-Hall, Englewood Cliffs, NJ, 1996, pp. 1-6.
2. Wujek, B. A., Renaud, J. E., and Batill, S. M., "Concurrent Engineering Approach for Multidisciplinary Design in a Distributed Computing Environment," Multidisciplinary Design Optimization: State-of-the-Art, Proceedings in Applied Mathematics of Society of Industrial and Applied Mathematics (SIAM), Vol. 80, SIAM, Philadelphia, PA, 1995, pp. 189-208.
3. Braun, R. D., and Kroo, I. M., "Development and Application of the Collaborative Optimization Architecture in a Multidisciplinary Design Environment," Multidisciplinary Design Optimization: State-of-the-Art, in Proceedings in Applied Mathematics of Society of Industrial and Applied Mathematics (SIAM), Vol. 80, SIAM, Phildelphia, PA, 1995, pp. 98-116.
4. Schrage, D. P., and Mavris, D. N., "Recomposition: The Other Half of the MDO Equation," Multidisciplinary Design Optimization: State-of-the-Art, in Proceedings in Applied Mathematics of Society of Industrial and Applied Mathematics (SIAM), Vol. 80, SIAM, Philadelphia, PA, 1995, pp. 432-447.
5. Sobieszczanski-Sobieski, J., and Haftka, R. T., "Multidisciplinary Aerospace Design Optimization: Survey of Recent Developments," AIAA Paper 96-0711, Jan. 1996.
6. Taguchi, G., Introduction to Quality Engineering: Designing Quality into Products and Processes, Asian Productivity Organization, available from American Supplier Institute, Dearborn, MI, 1986.
7. Myers, R. H., Khuri, A. I., and Vining, G., "Response Surface Alternatives to the Taguchi Robust Parameter Design Approach," The American Statistician, Vol. 46, No. 2, 1992, pp. 131-139.
8. Tsui, K. L., "Taguchi's Robust Design and Some Alternatives," Statistics of Quality, edited by S. Ghsoh, W. Schucany, and W. Smith, Marcel Dekker, New York, 1996.
9. Yurkovich, R., "The Use of Taguchi Techniques with the ASTROS Code for Optimum Wing Structural Design," Proceedings of the AIAA/ASME/ASCE/AHS/ASC 35th Structures, Structural Dynamics, and Materials Conference, AIAA, Washington, DC, 1994, pp. 1334-1342.
10. Box, G. E. P., and Draper, N. R., Empirical Model-Building and Response Surfaces, Wiley, New York, 1987.
11. Chen, W., Tsui, K.-L., Allen, J. K., and Mistree, F., "Integration of Response Surface Method with the Compromise Decision Support Problem in Developing a General Robust Design Procedure," Advances in Design Automation, DE-Vol. 82-2, American Society of Mechanical Engineers, New York, 1995, pp. 485-492.
12. Mavris, D. N., Bandte, O., and Schrage, D. P., "Economic Uncertainty Assessment of an HSCT Using a Combined Design of Experiments/Monte Carlo Simulation Approach," Proceedings of the 17th Annual Conference of the International Society of Parametric Analysts (ISPA) (San Diego, CA), ISPA, Chesterfield, MO, 1995, pp. 42-58.
13. Chen, W., Allen, J. K., Schrage, D. P., and Mistree, F., "Statistical Experimentation Methods for Achieving Affordable Concurrent Systems Design," AIAA Journal, Vol. 35, No. 5, 1997, pp. 893-900.