Structural optimization for statics, dynamics and beyond

Summary A narrative of the development of optimization leading to the current use of this technology in industry has been offered. Development of this technology has followed two distinct tracks. One is optimization algorithms for general applications and the other is special techniques for structural optimization. The distinction is that structural optimization methods create a high quality approximation based on physics (as opposed to simple linearization) to improve efficiency and robustness and then uses a general purpose optimizer to solve this approximate problem. Commercial software is available for both classes of problems. This software is highly refined and can be used with very limited knowledge of optimization theory. Finally, a variety of applications have been presented to demonstrate the power available today. It is noted that some of these examples are not actual commercial applications because those are usually proprietary. Indeed, to the best of this author’s knowledge, the largest structural sizing optimization problem solved in industry exceeds 250,000 design variables with topology optimization problems exceeding two million variables. It is concluded that the state of the art is well refined and is readily available in the commercial environment to improve design quality, reduce design time and increase corporate profits. Indeed, it is argued that no computational technology today is as effective as an advanced design tool as is numerical optimization.

[1]  Antonio Villar The Limits of the Economy , 2000 .

[2]  Bertram Klein Direct Use of Extremal Principles in Solving Certain Optimizing Problems Involving Inequalities , 1955, Oper. Res..

[3]  G. Zoutendijk,et al.  Methods of Feasible Directions , 1962, The Mathematical Gazette.

[4]  Gabriela Koreisová,et al.  Scientific Papers , 1997, Nature.

[5]  Jaroslaw Sobieszczanski-Sobieski,et al.  Particle swarm optimization , 2002 .

[6]  J. E. Kelley,et al.  The Cutting-Plane Method for Solving Convex Programs , 1960 .

[7]  P. Hajela Genetic search - An approach to the nonconvex optimization problem , 1990 .

[8]  Laurence A. Wolsey,et al.  Integer and Combinatorial Optimization , 1988 .

[9]  L. Schmit,et al.  Some Approximation Concepts for Structural Synthesis , 1974 .

[10]  Panos M. Pardalos,et al.  Large Scale Optimization , 1994 .

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

[12]  Noel A Cressie,et al.  Statistics for Spatial Data. , 1992 .

[13]  Joakim Nivre AN EFFICIENT ALGORITHM , 2003 .

[14]  Garret N. Vanderplaats,et al.  Numerical optimization techniques for engineering design , 1999 .

[15]  R. Rockafellar The multiplier method of Hestenes and Powell applied to convex programming , 1973 .

[16]  Edward J. Haug,et al.  Methods of Design Sensitivity Analysis in Structural Optimization , 1979 .

[17]  K. M. Ragsdell,et al.  The Generalized Reduced Gradient Method: A Reliable Tool for Optimal Design , 1977 .

[18]  Garret N. Vanderplaats Very Large Scale Continuous and Discrete Variable Optimization , 2004 .

[19]  E. Salajegheh,et al.  New Approximation Method for Stress Constraints in Structural Synthesis , 1989 .

[20]  Anthony V. Fiacco,et al.  Nonlinear programming;: Sequential unconstrained minimization techniques , 1968 .

[21]  G. N. Vanderplaats An efficient algorithm for numerical airfoil optimization , 1979 .

[22]  Garret N. Vanderplaats,et al.  Comment on "Methods of Design Sensitivity Analysis in Structural Optimization" , 1980 .

[23]  A. Michell LVIII. The limits of economy of material in frame-structures , 1904 .

[24]  Hanif D. Sherali,et al.  Methods of Feasible Directions , 2005 .

[25]  R. H. Myers,et al.  Response Surface Methodology: Process and Product Optimization Using Designed Experiments , 1995 .

[26]  R. Canfield High-quality approximation of eigenvalues in structural optimization , 1990 .

[27]  R. Fox,et al.  Constraint surface normals for structural synthesis techniques , 1965 .

[28]  Garret N. Vanderplaats,et al.  Numerical Optimization Techniques for Engineering Design: With Applications , 1984 .

[29]  W. Hager,et al.  Large Scale Optimization : State of the Art , 1993 .

[30]  Prabhat Hajela,et al.  Genetic search - An approach to the nonconvex optimization problem , 1989 .

[31]  Tony Markel,et al.  Hybrid vehicle design optimization , 2000 .

[32]  F. R. Shanley,et al.  Weight-strength analysis of aircraft structures , 1960 .