Probabilistic Structural Dynamics

Y K Lin

ISBN 10: 0071737952 / ISBN 13: 9780071737951

Published by Mcgraw-Hill Education LLC (Professional Pod) Apr 2004, 2004

About this Item

Neuware - 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.

Seller Inventory # 9780071737951

Bibliographic Details

• Title: Probabilistic Structural Dynamics
• Publisher: Mcgraw-Hill Education LLC (Professional Pod) Apr 2004
• Publication Date: 2004
• Language: English
• ISBN 10: 0071737952
• ISBN 13: 9780071737951
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 229W x 152H x 29D millimeters 229 millimeters width by 152 millimeters height by 29 millimeters depth
• Weight: 744 grams

About this title

Synopsis

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.

From the Back Cover

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