AERODYNAMIC DESIGN SENSITIVITIES BY AUTOMATIC DIFFERENTIATION

The theme is the automatic-differentiation methodology for calculating sensitivity derivatives from advanced CFD codes. Previously documented success and recent advances are discussed; the computational advantages and disadvantages of this methodology are reviewed in comparison with other well-known competing methods. The feasibility of the technology as a practical design tool is assessed in the context of its application to practical aerodynamic design problems — in particular, aircraft design.

[1]  Christian Bischof,et al.  Applications of Automatic Differentiation in CFD , 1994 .

[2]  Antony Jameson,et al.  Aerodynamic design via control theory , 1988, J. Sci. Comput..

[3]  Christian Bischof,et al.  Parallel calculation of sensitivity derivatives for aircraft design using automatic differentiation , 1994 .

[4]  Amidu Olawale Oloso.  Three-dimensional aerodynamic design optimization using discrete sensitivity analysis and parallel computing , 1997 .

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

[6]  M. J. Rimlinger,et al.  Constrained Multipoint Aerodynamic Shape Optimization Using an Adjoint Formulation and Parallel Computers , 1997 .

[7]  Alan Carle,et al.  Preliminary Results from the Application of Automated Adjoint Code Generation to CFL3D , 1998 .

[8]  William T. Jones,et al.  Experiences with the application of the ADIC automatic differentiation tool for to the CSCMDO 3-D volume grid generation code , 1996 .

[9]  Robert T. Biedron,et al.  Parallel Computation of Sensitivity Derivatives with Application to Aerodynamic Optimization of a Wing , 1999 .

[10]  P. A. Newman,et al.  Sensitivity derivatives for three dimensional supersonic Euler code using incremental iterative strategy , 1994 .

[11]  Andreas Griewank,et al.  Automatic Differentiation of Advanced CFD Codes for Multidisciplinary Design , 1992 .

[12]  Antony Jameson,et al.  Essential Elements of Computational Algorithms for Aerodynamic Analysis and Design , 1997 .

[13]  Gene Hou,et al.  First- and Second-Order Aerodynamic Sensitivity Derivatives via Automatic Differentiation with Incremental Iterative Methods , 1996 .

[14]  Andreas Griewank,et al.  ADIFOR - Generating Derivative Codes form Fortran Programs , 1992, Sci. Program..

[15]  Arthur C. Taylor,et al.  Transonic turbulent airfoil design optimization with automatic differentiation in incremental iterative forms , 1995 .

[16]  Arthur C. Taylor,et al.  CFL3D.ADII (Version 2.0) - An efficient, accurate, general-purpose code for flow shape-sensitivity analysis , 1997 .

[17]  P. A. Newman,et al.  An Approximately Factored Incremental Strategy for Calculating Consistent Discrete Aerodynamic Sensitivity Derivatives , 1992 .

[18]  Arthur C. Taylor,et al.  AERODYNAMIC SHAPE-SENSITIVITY ANALYSIS AND DESIGN OPTIMIZATION ON THE IBM-SP2 , 1997 .