MULTIFIDELITY RESPONSE SURFACE MODEL FOR HSCT WING BENDING MATERIAL WEIGHT

Response surface techniques allow us to combine results from a large number of inexpensive low fidelity analyses with a small number of expensive high fidelity analyses for constructing inexpensive and accurate approximations. The paper demonstrates this approach by constructing approximations to wing bending material weight of a high speed civil transport (HSCT). The approximations employ a large number of structural optimizations of finite element models for a range of HSCT configurations. Thousands of structural optimizations of coarse finite element models are used to construct a quadratic response surface model. Then about a hundred structural optimizations of refined finite element models are used to construct linear correction response surface models. The usefulness of the approximations is demonstrated by performing aerodynamic optimizations of the HSCT while employing the response surface models to estimate wing bending material weight. The approximations for the final HSCT designs are compared to results of structural optimizations of the refined finite element model.

[1]  E. Torenbeek,et al.  Development and application of a comprehensive, design-sensitive weight prediction method for wing structures of transport category aircraft , 1992 .

[2]  Raphael T. Haftka,et al.  Structural weight estimation for multidisciplinary optimization of a high-speed civil transport , 1996 .

[3]  Harry W. Carlson,et al.  Numerical methods and a computer program for subsonic and supersonic aerodynamic design and analysis of wings with attainable thrust considerations , 1984 .

[4]  Bernard Grossman,et al.  Variable-Complexity Multidisciplinary Design Optimization Using Parallel Computers , 1995 .

[5]  Bernard Grossman,et al.  HSCT configuration design using response surface approximations of supersonic Euler aerodynamics , 1998 .

[6]  P. G. Coen,et al.  Supersonic transport wing minimum weight design integrating aerodynamics and structures , 1994 .

[7]  L. A. Mccullers Aircraft configuration optimization including optimized flight profiles , 1984 .

[8]  Layne T. Watson,et al.  Dependence of optimal structural weight on aerodynamic shape for a High Speed Civil Transport , 1996 .

[9]  Vladimir Olegovich Balabanov,et al.  Development of Approximations for HSCT Wing Bending Material Weight using Response Surface Methodology , 1997 .

[10]  Douglas C. Montgomery,et al.  Response Surface Methodology: Process and Product Optimization Using Designed Experiments , 1995 .

[11]  T Haftka Raphael,et al.  Multidisciplinary aerospace design optimization: survey of recent developments , 1996 .

[12]  B. Grossman,et al.  Variable-complexity response surface approximations for wing structural weight in HSCT design , 1996 .

[13]  Raphael T. Haftka,et al.  Analysis and design of composite curved channel frames , 1994 .

[14]  David R. Oakley,et al.  Multilevel parallel computing for multidisciplinary optimization and probabilistic mechanics , 1996 .

[15]  T Watson Layne,et al.  Multidisciplinary Optimization of a Supersonic Transport Using Design of Experiments Theory and Response Surface Modeling , 1997 .