ABC-NS: a new computational inference method applied to parameter estimation and model selection in structural dynamics

Abdessalem, A., Dervilis, N., Wagg, D. et al. (1 more author) (Accepted: 2017) ABC-NS: a new computational inference method applied to parameter estimation and model selection in structural dynamics. In: 23 Congrès Français de Mécanique. 23 Congrès Français de Mécanique, 28 August- 1 Sep, 2017, Lille, France. . (In Press)

Abstract

Metadata

Authors/Creators:
  • Abdessalem, A.
  • Dervilis, N.
  • Wagg, D.
  • Worden, K.
Copyright, Publisher and Additional Information: © 2017 Association Française de Mécanique/ EDP Sciences.
Keywords: Approximate Bayesian computation; ellipsoidal sampling; system identification; model selection; Duffing oscillator
Dates:
  • Accepted: 1 May 2017
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Mechanical Engineering (Sheffield)
Funding Information:
FunderGrant number
ENGINEERING AND PHYSICAL SCIENCE RESEARCH COUNCIL (EPSRC)EP/K003836/2
ENGINEERING AND PHYSICAL SCIENCE RESEARCH COUNCIL (EPSRC)EP/K003836/1
Depositing User: Symplectic Sheffield
Date Deposited: 10 Jul 2017 10:23
Last Modified: 10 Jul 2017 10:23
Status: In Press
Refereed: Yes

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