Applied Optimal Design Mechanical and Structural Systems Edward J. Haug & Jasbir S. Arora This computer-aided design text presents and illustrates techniques for optimizing the design of a wide variety of mechanical and structural systems through the use of nonlinear programming and optimal control theory. A state space method is adopted that incorporates the system model as an integral part of the design formulations. Step-by-step numerical algorithms are given for each method of optimal design. Basic properties of the equations of mechanics are used to carry out design sensitivity analysis and optimization, with numerical efficiency and generality that is in most cases an order of magnitude faster in digital computation than applications using standard nonlinear programming methods. 1979 Optimum Design of Mechanical Elements, 2nd Ed. Ray C. Johnson The two basic optimization techniques, the method of optimal design (MOD) and automated optimal design (AOD), discussed in this valuable work can be applied to the optimal design of mechanical elements commonly found in machinery, mechanisms, mechanical assemblages, products, and structures. The many illustrative examples used to explicate these techniques include such topics as tensile bars, torsion bars, shafts in combined loading, helical and spur gears, helical springs, and hydrostatic journal bearings. The author covers curve fitting, equation simplification, material properties, and failure theories, as well as the effects of manufacturing errors on product performance and the need for a factor of safety in design work. 1980 Globally Optimal Design Douglass J. Wilde Here are new analytic optimization procedures effective where numerical methods either take too long or do not provide correct answers. This book uses mathematics sparingly, proving only results generated by examples. It defines simple design methods guaranteed to give the global, rather than any local, optimum through computations easy enough to be done on a manual calculator. The author confronts realistic situations: determining critical constraints; dealing with negative contributions; handling power function; tackling logarithmic and exponential nonlinearities; coping with standard sizes and indivisible components; and resolving conflicting objectives and logical restrictions. Special mathematical structures are exposed and used to solve design problems. 1978

About the Author

About the authors H.O. FUCHS is Professor Emeritus of Mechanical Engineering at Stanford University. He received his education and early training in Germany and continued his career as a design and research engineer in the U.S. with General Motors and other companies. In 1945 he left GM to design suspensions and accessories for railway cars in Los Angeles and started a shot-peening business as a silent partner. In 1954 he joined the shot-peening business full time. Professor Fuchs has written many papers on fatigue design and is very active in the SAE Fatigue Design and Evaluation Committee, ASTM, ASME, and ASEE. He was honored by ASEE for innovations in teaching in 1974 and by ASME for design in 1980. R.I. STEPHENS is a Professor of Materials Engineering at The University of Iowa. He received a Ph.D. in Engineering Mechanics from the University of Wisconsin in 1965. His primary research interests and publications involve fatigue and fracture mechanics. Professor Stephens is a member of ASEE, ASTM Committee E-09 on fatigue, the ASTM Committee E-24 on fracture testing of metals and the SAE fatigue design and evaluation committee. He is coordinator of The Annual SAE-University of Iowa Fatigue Concepts in Design short course first offered with Professor Fuchs in 1970.

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