Statistical Dynamics and Reliability Theory for Mechanical Structures

V.A. Svetlitsky

454 pages, parution le 18/02/2003

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Résumé

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 processes in mechanical systems is described in detail. Examples are machines, instruments and structures loaded with perturbations. The reliability and lifetime of those objects depend on how properly these perturbations are taken into account. Random vibrations with finite and infinite numbers of degrees of freedom are analyzed as well as the theory and numerical methods of non-stationary processes under the conditions of statistical indeterminacy. This textbook is addressed to students and post-graduates of technical universities. It can also be useful to lecturers and mechanical engineers, including designers in different industries.

Contents

Fundamentals of the Probability Theory and the Theory of Random Processes
Non-Stationary Random Functions (Processes)
Stationary Random Functions (Processes)
Fundamentals of the Markov Processes Theory
Random Vibrations of Systems with One Degree of Freedom
Random Vibrations of Systems with a Finite Number of Degrees of Freedom
Random Vibrations of Strings; Longitudinal and Torsional Vibrations of Straight Rods
Random Vibrations of Rods
Fundamentals of Reliability Theory
Random Processes at the Action of Random Functions Bounded in Absolute Value

L'auteur - V.A. Svetlitsky

Moscow State Technical University, Moscow, Russia

Caractéristiques techniques

	PAPIER
Éditeur(s)	Springer
Auteur(s)	V.A. Svetlitsky
Parution	18/02/2003
Nb. de pages	454
Format	16 x 24
Couverture	Relié
Poids	798g
Intérieur	Noir et Blanc
EAN13	9783540442974