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

Ben Abdessalem, A., Dervilis, N., Wagg, D. et al. (1 more author) (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 Aug - 01 Sep 2017, Lille, France. AFM, Association Française de Mécanique .

Abstract

Metadata

Authors/Creators:
  • Ben Abdessalem, A.
  • Dervilis, N.
  • Wagg, D.
  • Worden, K.
Copyright, Publisher and Additional Information: © 2017 Association Française de Mécanique.
Keywords: Approximate Bayesian computation; ellipsoidal sampling; system identification; model selection; Duffing oscillator
Dates:
  • Accepted: 1 May 2017
  • Published (online): 25 October 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 CouncilEP/K003836/2; EP/K003836/1
Depositing User: Symplectic Sheffield
Date Deposited: 10 Jul 2017 10:23
Last Modified: 23 Jun 2020 11:26
Published Version: http://hdl.handle.net/2042/63371
Status: Published
Publisher: AFM, Association Française de Mécanique
Refereed: Yes
Related URLs:

Share / Export