Random Vibrations: Theory and Practice

by Paul H. Wirsching, Thomas L, Paez, Keith Ortiz

Overview

The most comprehensive text and reference available on the study of random vibrations, this book was designed for graduate students and for mechanical, structural, and aerospace engineers. Random Vibrations: Theory and Practice encompasses all the key topics, including fundamental background material, random vibration development with applications to design, and random signal analysis. The broad scope of this text makes it useful both as a clear and thorough introduction to the field and as an authoritative reference for practitioners who wish to investigate special topics.
In addition to coverage of background topics in probability, statistics, and random processes, this text develops methods for analyzing and controlling random vibrations. It explains how to avoid fatigue and fracture brought on by random vibration stresses and describes how to analyze random signals obtained for field and test measurements. Detailed examples employ random signals taken from actual random sources, and an abundance of figures, tables and charts support and clarify the text.

Product Details

ISBN-13:	9780486450155
Publisher:	Dover Publications
Publication date:	05/12/2006
Series:	Dover Books on Physics
Pages:	464
Product dimensions:	5.50(w) x 8.50(h) x (d)

About the Author

Paul H. Wirsching is Professor Emeritus of Aerospace and Mechanical Engineering at the University of Arizona. Thomas L. Paez and Keith Ortiz are affiliated with Sandia National Laboratories of Albuquerque, New Mexico.

Table of Contents

1. Introduction
2. Random Variables
3. Random Processes in Time Domain
4. Fourier Transforms
5. Random Processes in Frequency Domain
6. Statistical Properties of Random Processes
7. Vibration of Single-Degree-of-Freedom Systems
8. Response of Single-Degree-of-Freedom Linear Systems to Random Environments
9. Random Vibration of Multi-Degree-of-Freedom Systems
10. Design to Avoid Structural Failures Due to Random Vibration
11. Introduction to Parameter Estimation
12. Time-Domain Estimation of Random Process Parameters
13. Discreet Fourier Transform
14. Frequency-Domain Estimation of Random Processes
Appendix A. Convergence of Random Processes
Appendix B. Integrals of Transfer Functions
Appendix C. Formulas for Approximate Evaluation of Some Integrals Useful in Probability
Appendix D. Some Fast Fourier Transform Programs
Appendix E. Tables
References
Index

Editorial Reviews

A text for a graduate course in mechanical, structural, or aerospace engineering programs, containing enough material for a year but arranged so that much of it can be studied individually out of class for a one-semester course. Assumes undergraduate courses in probability and vibrations, but no knowledge of random processes or multiple-degrees-of-freedom dynamic systems. At the end of the course the students should be competent to begin masters-level research in random vibrations. Annotation c. Book News, Inc., Portland, OR (booknews.com)

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