Multidisciplinary Design Optimization: An Emerging New Engineering Discipline

This paper attempts to define the Multidisciplinary Design Optimization (MDO) as a new field of research endeavor and as an aid in the design of engineering systems. It examines the MDO conceptual components in relation to each other and defines their functions.

[1]  Evin Cramer,et al.  Sparse optimization for aircraft design , 1993 .

[2]  G. N. Vanderplaats,et al.  ADS: A FORTRAN program for automated design synthesis: Version 1.10 , 1984 .

[3]  Todd J. Beltracchi.  An overview of the current state of the art optimization used for trajectory design in the GTS system , 1990 .

[4]  J. Sobieszczanski-Sobieski,et al.  Extrapolation of Optimum Design Based on Sensitivity Derivatives , 1983 .

[5]  David G. Hull,et al.  Numerical Derivatives for Parameter Optimization , 1979 .

[6]  J. Sobieszczanski-Sobieski,et al.  Optimum sensitivity derivatives of objective functions in nonlinear programming , 1983 .

[7]  John T. Betts,et al.  A performance comparison of nonlinear programming algorithms for large sparse problems , 1993 .

[8]  L. Berke,et al.  Structural optimization using optimality criteria , 1987 .

[9]  Jaroslaw Sobieszczanski,et al.  A Mixed Optimization Method for Automated Design of Fuselage Structures , 1972 .

[10]  J. Betts,et al.  Application of sparse nonlinear programming to trajectory optimization , 1992 .

[11]  Jaroslaw Sobieszczanskisobieski,et al.  On the sensitivity of complex, internally coupled systems , 1988 .

[12]  Prabhat Hajela,et al.  Neural networks in structural analysis and design - An overview , 1992 .

[13]  Jaroslaw Sobieszczanski-Sobieski,et al.  Aircraft optimization by a system approach - Achievements and trends , 1992 .

[14]  R. Haftka,et al.  Sensitivity Analysis of Discrete Structural Systems , 1986 .

[15]  P. Gill,et al.  Computing Forward-Difference Intervals for Numerical Optimization , 1983 .

[16]  R. Haftka,et al.  Elements of Structural Optimization , 1984 .

[17]  Christina L. Bloebaum,et al.  Formal and heuristic system decomposition methods in multidisciplinary synthesis. Ph.D. Thesis, 1991 , 1991 .

[18]  Oktay Baysal,et al.  Aerodynamic design optimization using sensitivity analysis and computational fluid dynamics , 1991 .

[19]  Raphael T. Haftka,et al.  Recent developments in structural sensitivity analysis , 1989 .

[20]  Arthur C. Taylor,et al.  Observations on computational methodologies for use in large-scale, gradient-based, multidisciplinary design , 1992 .

[21]  Jaroslaw Sobieszczanski-Sobieski,et al.  Preliminary results from the High Speed Airframe Integration Research project , 1992 .

[22]  P. A. Newman,et al.  Sensitivity Derivatives for Advanced CFD Algorithm and Viscous Modeling Parameters via Automatic Differentiation , 1996 .

[23]  C. R. Joyner,et al.  Application of Taguchi methods to dual mixture ratio propulsion system optimization for SSTO vehicles , 1992 .

[24]  Kwan J. Chang,et al.  Sensitivity-based scaling for correlating structural response from different analytical models , 1991 .

[25]  Terrence A. Weisshaar,et al.  Integrated structure/control design - Present methodology and future opportunities , 1986 .

[26]  E. Thornton.  Thermal structures - Four decades of progress , 1990 .

[27]  L. A. Schmit,et al.  Structural synthesis - Its genesis and development , 1981 .

[28]  G. A. Gabriele,et al.  An investigation of using an RQP based method to calculate parameter sensitivity derivatives , 1989 .

[29]  Daniel G. Bobrow,et al.  Object-Oriented Programming: Themes and Variations , 1989, AI Mag..

[30]  V. Venkayya.  Optimality criteria: A basis for multidisciplinary design optimization , 1989 .

[31]  J. Sobieszczanski-Sobieski.  High order sensitivity analysis of complex, coupled systems , 1990 .

[32]  Jaroslaw Sobieszczanski-Sobieski,et al.  Sensitivity analysis and multidisciplinary optimization for aircraft design - Recent advances and results , 1990 .

[33]  Augustine R. Dovi,et al.  Multilevel Decomposition Approach to the Preliminary Sizing of a Transport Aircraft Wing , 1988 .

[34]  Jasbir S. Arora,et al.  Introduction to Optimum Design , 1988 .

[35]  J. -F. M. Barthelemy,et al.  Approximation concepts for optimum structural design — a review , 1993 .

[36]  Wayne P. Hallman.  Numerical derivative techniques for trajectory optimization , 1990 .

[37]  R. Haftka.  Sensitivity calculations for iteratively solved problems , 1985 .

[38]  Ilan Kroo,et al.  Development of the quasi-procedural method for use in aircraft configuration optimization , 1992 .

[39]  Peter G. Coen,et al.  Integrating aerodynamics and structures in the minimum weight design of a supersonic transport wing , 1992 .

[40]  Amar Gupta,et al.  Microcomputer-Based Expert Systems , 1988 .

[41]  James L. Rogers.  A knowledge-based tool for multilevel decomposition of a complex design problem , 1989 .

[42]  K. M. Riley,et al.  Sensitivity of Optimum Solutions of Problem Parameters , 1982 .

[43]  Andreas Griewank,et al.  The chain rule revisited in scientific computing. , 1991 .

[44]  Jaroslaw Sobieszczanski-Sobieski,et al.  Optimization by decomposition: A step from hierarchic to non-hierarchic systems , 1989 .

[45]  Jaroslaw Sobieszczanski-Sobieski,et al.  Application of Advanced Multidisciplinary Analysis and Optimization Methods to Vehicle Design Synthesis , 1992 .

[46]  A. R. Dovi.  ISSYS: An integrated synergistic Synthesis System , 1980 .