Statistical Dynamics and Reliability Theory for Mechanical Structures

Statistical Dynamics and Reliability Theory for Mechanical Structures by Valery A. Svetlitsky.

The theory of random processes is an integral part of the analysis and synthesis of complex engineering systems. This textbook systematically presents the fundamentals of statistical dynamics and reliability theory. The theory of Markovian processes used during the analysis of random dynamic process...

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Bibliographic Details
Main Author: Svetlitsky, Valery A. (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2003.
Edition:1st ed. 2003.
Series:Foundations of Engineering Mechanics,
Springer eBook Collection.
Subjects:
Mechanics.
Mechanics, Applied.
Probabilities.
Applied mathematics.
Engineering mathematics.
Computational intelligence.
Statistics .
Electronic resources (E-books)
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
Table of Contents:
  • 1. Fundamentals of the Probability Theory and the Theory of Random Processes
  • 1.1 Brief Information on the Probability Theory
  • 1.2 The Distribution Function and the Probability Density of a Random Variable
  • 1.3 Numerical Characteristics of Random Quantities and Their Principal Properties
  • 1.4 Probability Density Distribution Laws
  • 1.5 Determination of the Probability of a Normally Distributed Random Quantity Lying in the Given Range
  • 1.7 Complex Random Quantities
  • 1.8 Numerical Characteristics of Functions of Random Arguments
  • 2. Non-Stationary Random Functions (Processes)
  • 2.1 Introduction
  • 2.2 Probability Characteristics of Non-Stationary Random Functions
  • 2.3 Random Function Systems and Their Probability Characteristics
  • 2.4 Random Functions Linear Transformations
  • 2.5 The Probabilistic Characteristics of the Linear Differential Equations at Non-Stationary Random Disturbances
  • 3. Stationary Random Functions (Processes)
  • 3.1 Probability Characteristics of Stationary Random Functions
  • 3.2 The Ergodic Property of a Stationary Random Function
  • 3.3 Derivatives and Integrals of Stationary Functions
  • 3.4 The Spectral Representation of Stationary Random Processes
  • 3.5 Cross-Spectral Densities and their Properties
  • 3.6 Determination of the Spectral Densities of the Linear Differential Equations with Constant Coefficients Solutions
  • 4. Fundamentals of the Markov Processes Theory
  • 4.1 Continuous One-Dimensional Markov Processes
  • 4.2 The Fokker-Planck-Kolmogorov Equation
  • 4.3 Multidimensional Markov Processes
  • 4.4 Determination of the Probability of Attaining a Random Function Possible Values Area Boundaries
  • 5. Random Vibrations of Systems with One Degree of Freedom
  • 5.1 Free Random Vibrations of Linear Systems
  • 5.2 Forced Random Vibrations of Linear Systems
  • 5.3 Vibrations Caused by Random Kinematic Excitation
  • 5.4 The Problem of Overshoots at Random Vibrations
  • 5.5 Nonlinear Random Vibrations
  • 6. Random Vibrations of Systems with Finite Number of Degrees of Freedom
  • 6.1 Free Random Vibrations of Linear Systems
  • 6.2 Vibrations at Random Pulse Loading
  • 6.3 Non-Stationary Random Vibrations of Linear Systems
  • 6.4 The Method of Principal Coordinates in Non-Stationary Vibrations Analysis
  • 6.5 Forced Stationary Random Vibrations of Linear Systems
  • 7. Random Vibrations of Strings; Longitudinal and Torsional Vibrations of Straight Rods
  • 7.1 Introduction
  • 7.2 Equations of Small Vibrations
  • 7.3 Solving Equations of Small Vibrations
  • 8. Random Vibrations of Rods
  • 8.1 Nonlinear Equations of Motion of Three-Dimensional Curvilinear Rods
  • 8.2 Equations of the Motion of a Rod in the Attached Coordinate System
  • 8.3 Equation of Small Vibrations of Rods
  • 8.4 Determination of Eigenvalues and Eigenvectors
  • 8.5 Non-Stationary Random Vibrations of Rods
  • 8.6 Stationary Random Vibrations of Rods
  • 9. Fundamentals of Reliability Theory
  • 9.1 Introduction
  • 9.2 Elementary Problems of Reliability Theory
  • 9.3 Possible Causes of Failures
  • 9.4 Determination of Numerical Values of No-Failure Operation Probability (Reliability)
  • 9.5 Determination of Reliability at the Linear Dependence of a Stress State on Random Loads
  • 9.6 Determination of the Probability of No-Failure Operation at the Nonlinear Dependence of the Random Quantity F on External Loads
  • 10. Random Processes at the Action of Random Functions Bounded in Absolute Value
  • 10.1 Introduction
  • 10.2 Determining the Maximum Values of the Components of the Systems State Vector
  • 10.3 Areas of Possible Values of the System State Vector at the Action of Independent Excitations
  • 10.4 Projections of the Area of Possible Values of the System State Vector onto Two-Dimensional Planes
  • 10.5 Determination of the Maximum Values of Dynamic Reactions
  • 10.6 Areas of Possible Values of the System State Vector in the Case of Several Sections of Motion
  • 10.7 Areas of Possible Values of the System State Vector at the Action of Dependent Random Excitations
  • 10.8 Determination of the Maximum Values of Linear Functionals at Independent Excitations
  • 10.9 Maximum Value of a Linear Functional at Dependent Excitations
  • 10.10Vibration Protection of Mechanical Systems
  • A. Appendices
  • A.1 Elementary Generalized Functions
  • A.3 Correlation Functions and Spectral Densities Corresponding to Them
  • A.4 Hiawatha Designs an Experiment
  • References.

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