Nonparametric stochastic modeling of structures with uncertain boundary conditions and uncertain coupling between substructures

Marc Mignolet, C. Soize

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

The focus of this investigation is on the formulation and validation of a novel approach for the inclusion of uncertainty in the modeling of the boundary conditions of linear structures and of the coupling between linear substructures. First, a mean structural dynamic model that includes boundary condition/coupling flexibility is obtained using classical substructuring concepts. The application of the nonparametric stochastic modeling approach to this mean model is next described and thus permits the consideration of both model and parameter uncertainty. Finally, a dedicated identification procedure is proposed to estimate the two parameters of this stochastic model, i.e. the mean boundary condition/coupling flexibility and the overall level of uncertainty.

Original languageEnglish (US)
Title of host publicationLSAME 2008 - Leuven Symposium on Applied Mechanics in Engineering, Conference Proceedings
PublisherLeuven Symposium on Applied Mechanics in Engineering
Pages539-552
Number of pages14
StatePublished - 2008
EventLeuven Symposium on Applied Mechanics in Engineering, LSAME 2008 - Leuven, Belgium
Duration: Mar 31 2008Apr 2 2008

Other

OtherLeuven Symposium on Applied Mechanics in Engineering, LSAME 2008
CountryBelgium
CityLeuven
Period3/31/084/2/08

Fingerprint

Boundary conditions
Structural dynamics
Stochastic models
Dynamic models
Identification (control systems)
Uncertainty

ASJC Scopus subject areas

  • Mechanics of Materials
  • Computational Mechanics
  • Mechanical Engineering

Cite this

Mignolet, M., & Soize, C. (2008). Nonparametric stochastic modeling of structures with uncertain boundary conditions and uncertain coupling between substructures. In LSAME 2008 - Leuven Symposium on Applied Mechanics in Engineering, Conference Proceedings (pp. 539-552). Leuven Symposium on Applied Mechanics in Engineering.

Nonparametric stochastic modeling of structures with uncertain boundary conditions and uncertain coupling between substructures. / Mignolet, Marc; Soize, C.

LSAME 2008 - Leuven Symposium on Applied Mechanics in Engineering, Conference Proceedings. Leuven Symposium on Applied Mechanics in Engineering, 2008. p. 539-552.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Mignolet, M & Soize, C 2008, Nonparametric stochastic modeling of structures with uncertain boundary conditions and uncertain coupling between substructures. in LSAME 2008 - Leuven Symposium on Applied Mechanics in Engineering, Conference Proceedings. Leuven Symposium on Applied Mechanics in Engineering, pp. 539-552, Leuven Symposium on Applied Mechanics in Engineering, LSAME 2008, Leuven, Belgium, 3/31/08.
Mignolet M, Soize C. Nonparametric stochastic modeling of structures with uncertain boundary conditions and uncertain coupling between substructures. In LSAME 2008 - Leuven Symposium on Applied Mechanics in Engineering, Conference Proceedings. Leuven Symposium on Applied Mechanics in Engineering. 2008. p. 539-552
Mignolet, Marc ; Soize, C. / Nonparametric stochastic modeling of structures with uncertain boundary conditions and uncertain coupling between substructures. LSAME 2008 - Leuven Symposium on Applied Mechanics in Engineering, Conference Proceedings. Leuven Symposium on Applied Mechanics in Engineering, 2008. pp. 539-552
@inproceedings{34d617d627124982bac6bd551cb4b146,
title = "Nonparametric stochastic modeling of structures with uncertain boundary conditions and uncertain coupling between substructures",
abstract = "The focus of this investigation is on the formulation and validation of a novel approach for the inclusion of uncertainty in the modeling of the boundary conditions of linear structures and of the coupling between linear substructures. First, a mean structural dynamic model that includes boundary condition/coupling flexibility is obtained using classical substructuring concepts. The application of the nonparametric stochastic modeling approach to this mean model is next described and thus permits the consideration of both model and parameter uncertainty. Finally, a dedicated identification procedure is proposed to estimate the two parameters of this stochastic model, i.e. the mean boundary condition/coupling flexibility and the overall level of uncertainty.",
author = "Marc Mignolet and C. Soize",
year = "2008",
language = "English (US)",
pages = "539--552",
booktitle = "LSAME 2008 - Leuven Symposium on Applied Mechanics in Engineering, Conference Proceedings",
publisher = "Leuven Symposium on Applied Mechanics in Engineering",

}

TY - GEN

T1 - Nonparametric stochastic modeling of structures with uncertain boundary conditions and uncertain coupling between substructures

AU - Mignolet, Marc

AU - Soize, C.

PY - 2008

Y1 - 2008

N2 - The focus of this investigation is on the formulation and validation of a novel approach for the inclusion of uncertainty in the modeling of the boundary conditions of linear structures and of the coupling between linear substructures. First, a mean structural dynamic model that includes boundary condition/coupling flexibility is obtained using classical substructuring concepts. The application of the nonparametric stochastic modeling approach to this mean model is next described and thus permits the consideration of both model and parameter uncertainty. Finally, a dedicated identification procedure is proposed to estimate the two parameters of this stochastic model, i.e. the mean boundary condition/coupling flexibility and the overall level of uncertainty.

AB - The focus of this investigation is on the formulation and validation of a novel approach for the inclusion of uncertainty in the modeling of the boundary conditions of linear structures and of the coupling between linear substructures. First, a mean structural dynamic model that includes boundary condition/coupling flexibility is obtained using classical substructuring concepts. The application of the nonparametric stochastic modeling approach to this mean model is next described and thus permits the consideration of both model and parameter uncertainty. Finally, a dedicated identification procedure is proposed to estimate the two parameters of this stochastic model, i.e. the mean boundary condition/coupling flexibility and the overall level of uncertainty.

UR - http://www.scopus.com/inward/record.url?scp=84885187942&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84885187942&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:84885187942

SP - 539

EP - 552

BT - LSAME 2008 - Leuven Symposium on Applied Mechanics in Engineering, Conference Proceedings

PB - Leuven Symposium on Applied Mechanics in Engineering

ER -