Structural Sensitivity Analysis and Optimization 1. Linear Systems.

Choi, Kyung K./Kim, Nam-Ho

ISBN 10: 038723232X / ISBN 13: 9780387232324

Editore: New York/ NY, Springer US., 2004

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16 x 24 cm. XVIII, 448 S. XVIII, 448 p. 134 illus. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. (Mechanical Engineering Series). Sprache: Englisch. Codice articolo 2960VB

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Titolo: Structural Sensitivity Analysis and ...

Casa editrice: New York/ NY, Springer US.

Data di pubblicazione: 2004

Legatura: Rilegato

Descrizione articolo

Riassunto:

Extensive numerical methods for computing design sensitivity are included in the text for practical application and software development.  The numerical method allows integration of CAD-FEA-DSA software tools, so that design optimization can be carried out using CAD geometric models instead of FEA models.  This capability allows integration of CAD-CAE-CAM so that optimized designs can be manufactured effectively.

Informazioni sull?autore:

K. K. Choi is a Carver Professor of Mechanical Engineering at The University of Iowa. He teaches in the Mechanical and Industrial Engineering and the Applied Mathematical and Computational Sciences departments, and is a researcher in the Center for Computer-Aided Design. He has authored numerous publications and has twice won the ASME Best Paper Award.

N. H. Kim is an Assistant Professor in the Department of Mechanical and Aerospace Engineering at the University of Florida. His research area is in structural design optimization, design sensitivity analysis, nonlinear structural mechanics, structural-acoustics, and the mesh-free method.

Both authors are members of several industry organizations including the American Society of Mechanical Engineers, the Korean-American Scientists and Engineers Association and the International Society for Structural and Multidisciplinary Optimization.