Stochastic Analysis of Structural and Mechanical Vibrations
Pearson (Publisher)
Published on 23. December 1996
Book
Hardback
510 pages
978-0-13-490533-4 (ISBN)
Description
With the aim of stating the fundamental principles and relationships of structural and mechanical vibrations, this guide focuses on the determination of response levels for dynamical systems excited by forces that can be modeled as stochastic processes. It concentrates material in the beginning of the text, with introductions to the fundamentals of stochastic modeling and vibration problems to acquaint students with applications. There are discussions on progressive topics which are the subject of ongoing research, including state-space analysis, nonlinear dynamics, and fatigue damage; the time history implications of bandwidth, with situations varying from narrowband to white noise; time domain integration techniques which provide viable alternatives to the calculus of residues; and an emphasis on time domain interpretations throughout. It includes a number of worked examples to illustrate the modelling of physical problems as well as the proper application of theoretical solutions.
More details
Language
English
Place of publication
United States
Publishing group
Pearson Education (US)
Target group
College/higher education
Dimensions
Height: 240 mm
Width: 183 mm
Thickness: 24 mm
Weight
895 gr
ISBN-13
978-0-13-490533-4 (9780134905334)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Content
1. Introduction.
2. Analysis of Stochastic Processes.
3. Time Domain Linear Vibration Analysis.
4. Frequency Domain Analysis.
5. Gaussian and Non-Gaussian Stochastic Processes.
6. Occurrence Rates and Distributions of Extremes.
7. Linear Systems with Multiple Inputs and Outputs.
8. State-Space Analysis.
9. Introduction to Nonlinear Stochastic Vibration.
10. Stochastic Analysis of Fatigue Damage.
Appendix A. Analysis of Random Variables.
Appendix B. Gaussian Random Variables.
Appendix C. Dirac Delta Functions.
Appendix D. Fourier Analysis.
References.
2. Analysis of Stochastic Processes.
3. Time Domain Linear Vibration Analysis.
4. Frequency Domain Analysis.
5. Gaussian and Non-Gaussian Stochastic Processes.
6. Occurrence Rates and Distributions of Extremes.
7. Linear Systems with Multiple Inputs and Outputs.
8. State-Space Analysis.
9. Introduction to Nonlinear Stochastic Vibration.
10. Stochastic Analysis of Fatigue Damage.
Appendix A. Analysis of Random Variables.
Appendix B. Gaussian Random Variables.
Appendix C. Dirac Delta Functions.
Appendix D. Fourier Analysis.
References.