Linearization Methods for Stochastic Dynamic Systems

For most cases of interest, exact solutions to nonlinear equations describing stochastic dynamical systems are not available. The aim of this book is to give a systematic introduction to and overview of the relatively simple and popular linearization methods available. The scope is limited to models...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Socha, Leslaw (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2008.
Edición:1st ed. 2008.
Colección:Lecture Notes in Physics, 730
Temas:
Multibody systems.
Vibration.
Mechanics, Applied.
Mechanical engineering.
System theory.
Solids.
Mathematical physics.
Multibody Systems and Mechanical Vibrations.
Mechanical Engineering.
Complex Systems.
Solid Mechanics.
Mathematical Methods in Physics.
Theoretical, Mathematical and Computational Physics.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Mathematical Preliminaries
  • Moment Equations for Linear Stochastic Dynamic Systems (LSDS)
  • Moment Equations for Nonlinear Stochastic Dynamic Systems (NSDS)
  • Statistical Linearization of Stochastic Dynamic Systems Under External Excitations
  • Equivalent Linearization of Stochastic Dynamic Systems Under External Excitation
  • Nonlinearization Methods
  • Linearization of Dynamic Systems with Stochastic Parametric Excitations
  • Applications of Linearization Methods in Vibration Analysis of Stochastic Mechanical Structures
  • Accuracy of Linearization Methods.

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