Nonlinear Stochastic Dynamic Engineering Systems

Nonlinear Stochastic Dynamic Engineering Systems
Author :
Publisher : Springer Science & Business Media
Total Pages : 526
Release :
ISBN-10 : 9783642833342
ISBN-13 : 3642833349
Rating : 4/5 (349 Downloads)

Book Synopsis Nonlinear Stochastic Dynamic Engineering Systems by : Franz Ziegler

Download or read book Nonlinear Stochastic Dynamic Engineering Systems written by Franz Ziegler and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 526 pages. Available in PDF, EPUB and Kindle. Book excerpt: This symposium, held at Innsbruck/lgls on June 21-26, 1987, is the fifth in a series of IUTAM-Symposia on the application of stochastic methods in mechanics. The flrst two meetings in Warwick (1972) and Southhampton (1976) concentrated on the stability of stochastic dynamical systems and stochastic methods in dynamics, respectively. The third meeting in Frankfurt/Oder (1982) added aspects of reliability, while the fourth symposium in Stockholm (1984) dealt mainly with fatigue and fracture problems. The general theme of the present symposium is devoted to nonlinear stochastic dynamics of engineering systems which is believed of great importance for providing the tools for basic development and progress in various fields of mechanical-, structural- and aeronautical engineering, particularly in the areas of vehicle dynamics, multi-storey structural dynamics, systems identiflcation, offshore structural dynamics, nuclear structures under various stochastic loading conditions (i. e. wind-, earthquake-, parametric excitations, etc. ). The contributions collected in this volume cover a wide spectrum of topics ranging from more theoretical, analytical and numerical treatment to practical application in various flelds. The truly international character of the meeting is accomplished by 42 contributions and 86 participants from as many as 19 countries and hence, contributed to the original idea of IUTAM, which is to foster international cooperation. It should be recalled, that, for getting this cooperation started again after the First World War, Theodore von Kanmm and Tullio Levi-Civita called the world's flrst international (IUTAM) conference on hydro- and aerornechanics in 1922 in Innsbruck, Austria.


Nonlinear Stochastic Dynamic Engineering Systems Related Books

Nonlinear Stochastic Dynamic Engineering Systems
Language: en
Pages: 526
Authors: Franz Ziegler
Categories: Science
Type: BOOK - Published: 2012-12-06 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

This symposium, held at Innsbruck/lgls on June 21-26, 1987, is the fifth in a series of IUTAM-Symposia on the application of stochastic methods in mechanics. Th
Nonlinear Dynamics and Stochastic Mechanics
Language: en
Pages: 560
Authors: Wolfgang Kliemann
Categories: Mathematics
Type: BOOK - Published: 2018-05-04 - Publisher: CRC Press

DOWNLOAD EBOOK

Engineering systems have played a crucial role in stimulating many of the modern developments in nonlinear and stochastic dynamics. After 20 years of rapid prog
Nonlinear Stochastic Mechanics
Language: en
Pages: 546
Authors: Nicola Bellomo
Categories: Science
Type: BOOK - Published: 2012-12-06 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

The Symposium, held in Torino (lSI, Villa Gualino) July 1-5, 1991 is the sixth of a series of IUTAM-Symposia on the application of stochastic analysis to contin
Nonlinear Dynamics in Engineering Systems
Language: en
Pages: 372
Authors: Werner Schiehlen
Categories: Science
Type: BOOK - Published: 2012-12-06 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

The International Union of Theoretical and Applied Mechanics (IUTAM) initiated and sponsored an International Symposium on Nonlinear Dynamics in Engineering Sys
Linearization Methods for Stochastic Dynamic Systems
Language: en
Pages: 392
Authors: Leslaw Socha
Categories: Technology & Engineering
Type: BOOK - Published: 2007-12-20 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

For most cases of interest, exact solutions to nonlinear equations describing stochastic dynamical systems are not available. This book details the relatively s