Probabilistic Structural Dynamics

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9780071737951: Probabilistic Structural Dynamics

Traditionally, engineers look to established safety factors to build sound structures, but the process is inefficient and often yields less than the desired results. This reference presents a different approach, allowing structural engineers to overcome the unpredictability of traditional modeling systems by developing sophisticated equation sets to solve specific structural problems.

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POWERFUL NEW MATHEMATICAL TOOLS FOR STRUCTURAL DYNAMICS

Presenting powerful new methods for analyzing uncertainties in the performance of designed systems, Probabilistic Structural Dynamics offers unparalleled tools for predicting the performance of new designs with new materials. In this text, pioneering engineers Y.K. Lin and G.Q. Cai demonstrate innovative mathematical techniques and explain how they can both improve safety and drive new efficiencies in contemporary structures. Employing spectral analysis, Markov processes, and other stochastic tools, Lin and Cai show you step-by-step how to:

* Perform dynamic analyses of linear and nonlinear systems
* Apply evolutionary spectral analysis
* Approximate solutions for multidimensional nonlinear systems
* Use insights from first-excursion failures
* Find answers for disordered structures
* Employ stochastics to achieve safer, more efficient design

About the Author:

Y. K. Lin holds the Charles E. Schmidt Eminent Scholar Chair in Engineering at Florida Atlantic University. He founded the Center for Applied Stochastics Research at Florida Atlantic University and has served as its Director since 1984. He received his Ph.D. degree in Civil Engineering (Structural) from Stanford University, and Doctor of Engineering honoris causa from the University of Waterloo, Canada. Prior to moving to Florida, he taught for two years in China, one year in Ethiopia, and 24 years (1960-1983) at the University of Illinois at Urbana-Champaign, as Professor of Aeronautical and Astronautical Engineering. He is a Member of the U.S. National Academy of Engineering and Foreign Member of the Russian Academy of Engineering, a Fellow of the American Society of Civil Engineers and American Academy of Mechanics. He has served as a consultant for defense, aerospace, automotive companies, and government laboratories. His publications include Probabilistic Theory of Structural Dynamics (McGraw-Hill, 1967; Krieger Publishing Co., 1976), and over 200 technical papers. He is the recipient of the Alfred M. Freudenthal Medal and the Theodore von Karman Medal from the American Society of Civil Engineers, the J. P. Den Hartog Award from the American Society of Mechanical Engineers, and the Alexander von Humboldt Award for Senior U.S. Scientists from Germany. A Registered Professional Engineer in Florida and Illinois, Lin is listed in Who’s Who in the World, W ho’s Who in America, and the International Who’s Who in Education.

G. Q. Cai holds a joint appointment of Associate Professor in the Department of Mechanical Engineering and the Center for Applied Stochastics Research at Florida Atlantic University where he received a Ph.D. in Mechanical Engineering. His work has been presented at multiple conferences and published in the Journal of Applied Mechanics, Journal of Sound and Vibration, Probabilistic Engineering Mechanics, the AIAA Journal, the International Journal of Non-Linear Mechanics, and the Journal of Engineering Mechanics.

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Lin, Y.K.; Cai, G.
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Book Description McGraw-Hill. Paperback. Book Condition: New. Paperback. 562 pages. Dimensions: 8.8in. x 6.0in. x 1.1in.Traditionally, engineers look to established safety factors to build sound structures, but the process is inefficient and often yields less than the desired results. This reference presents a different approach, allowing structural engineers to overcome the unpredictability of traditional modeling systems by developing sophisticated equation sets to solve specific structural problems. This item ships from multiple locations. Your book may arrive from Roseburg,OR, La Vergne,TN. Paperback. Bookseller Inventory # 9780071737951

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