Skip to main content

2006 | OriginalPaper | Buchkapitel

Stability of Elastic and Viscoelastic Systems Under Stochastic Non-Gaussian Excitation

verfasst von : Vadim D. Potapov

Erschienen in: III European Conference on Computational Mechanics

Verlag: Springer Netherlands

Aktivieren Sie unsere intelligente Suche um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Stability problems of elastic and viscoelastic systems under the action of random loads, first of all of columns, subjected to the longitudinal force, which is a stochastic stationary process, were considered by many authors. A sufficiently thorough survey of these works is contained in the monograph [

1

]. The greatest number of results were obtained for that case if the stationary process is proposed as a Gaussian white noise.

If parametric forces are arbitrary random stationary processes, then the solution of the stability problem becomes significantly more complicated. In such a case mainly sufficient conditions of the almost sure stability were obtained. It should be underlined that the estimation of stability boundaries, which are obtained with help of these criterions, are rather rough.

In the present work an effective method for the investigation of the stability of elastic and viscoelastic systems under parametric excitation is suggested. Parametric forces are assumed in the form of stationary non-Gaussian processes.

The proposed method is based on the simulation of random processes, on the numerical solution of differential equations, describing the perturbed motion of the considered system, and on the calculation of top Lyapunov exponents.

The considered method makes it possible to estimate the almost sure stability and the stability with respect to statistical moments of the different order. Since the closed system of equations for moments of unknowns

y

(

t

)in the case of filtered noise could not be obtained, the method of statistical data processing is applied. The estimation of moments

y

P

j

for the instant

t

n

can be obtained as a result of statistical average of values

y

pj

derived from the solution of equations, describing the behavior of the considered system, for the enough large number of realizations. Using the procedure, suggested in the work [

1

], the estimation of the top Lyapunov exponent can be obtained.

Results, obtained for Gaussian and non-Gaussian processes, are compared in the case of the almost stability, stability in the mean and in the mean-square. It is important to underline, that results, found for filtered processes, are principally differ from results, corresponding to stochastic processes in the form of Gaussian white noises.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Metadaten
Titel
Stability of Elastic and Viscoelastic Systems Under Stochastic Non-Gaussian Excitation
verfasst von
Vadim D. Potapov
Copyright-Jahr
2006
Verlag
Springer Netherlands
DOI
https://doi.org/10.1007/1-4020-5370-3_301

    Marktübersichten

    Die im Laufe eines Jahres in der „adhäsion“ veröffentlichten Marktübersichten helfen Anwendern verschiedenster Branchen, sich einen gezielten Überblick über Lieferantenangebote zu verschaffen.