Nonlinear Random Vibration

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A01=Cho W.S. To
advanced probability theory
Age Group_Uncategorized
Age Group_Uncategorized
Author_Cho W.S. To
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Category1=Non-Fiction
Category=PBKJ
Category=PBWR
civil engineering applications
Conditional Characteristic Function
COP=United Kingdom
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density
Derivate Moments
Duffing Oscillator
Dynamic Engineering Systems
environmental system modelling
eq_isMigrated=2
eq_nobargain
excitation
FPK Equation
function
gaussian
Gaussian White Noise
Gaussian White Noise Excitation
Language_English
Markovian Solution
mdof
Mdof Nonlinear System
mechanical engineering dynamics
noise
Nonlinear Damping
Nonlinear Random Vibration
nonlinear vibration analysis techniques
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Price_€100 and above
probability
PS=Active
Random Excitation
Series Expansion Technique
SL Technique
softlaunch
Stationary Probability Density
Stationary Probability Density Function
Stationary Random Excitation
statistical linearization methods
Stochastic Averaging
Stochastic Differential Equation
Stochastic Nonlinear Differential Equations
stochastic processes analysis
Stratonovich Integrals
systems
Transition Probability Density Function
van
Van Der Pol Oscillators
Volterra Series
white
White Noise Excitations

Product details

  • ISBN 9780415898973
  • Weight: 734g
  • Dimensions: 174 x 246mm
  • Publication Date: 10 Aug 2011
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
  • Language: English
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This second edition of the book, Nonlinear Random Vibration: Analytical Techniques and Applications, expands on the original edition with additional detailed steps in various places in the text. It is a first systematic presentation on the subject. Its features include:
• a concise treatment of Markovian and non- Markovian solutions of nonlinear stochastic differential equations,
• exact solutions of Fokker-Planck-Kolmogorov equations,
• methods of statistical linearization,
• statistical nonlinearization techniques,
• methods of stochastic averaging,
• truncated hierarchy techniques, and
• an appendix on probability theory.

A special feature is its incorporation of detailed steps in many examples of engineering applications.

Targeted audience: Graduates, research scientists and engineers in mechanical, aerospace, civil and environmental (earthquake, wind and transportation), automobile, naval, architectural, and mining engineering.

Dr. To joined the Department of Mechanical Engineering, University of Nebraska in 1996. Prior to joining UNL, he was a professor at the University of Western Ontario and an associate professor at the University of Calgary. He was a Reseach Fellow of the Natural Sciences and Engineering Research Council of Canada from 1982-1992, and a Research Fellow at the Institute of Sound and Vibration Research (ISVR), University of Southampton. He is a member of the American Society of Mechanical Engineers (ASME), the American Academy of Mechanics (AAM), the Society of Industrial and Applied Mathematics (SIAM), and a founder Fellow of the Institution of Diagnostics Engineers, U.K. He served as chair of the ASME Finite Element Techniques and Computational Technologies Technical Committee. Dr. To currently serves as the department graduate chair.

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