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Observability and identification of damage-healing hysteretic model

Abstract:
Recent advances in the development of self-healing materials have highlighted the need for accurate modelling of the self-healing mechanism. To this end, the damage-healing hysteretic model is derived to describe the nonlinear behaviour of structures with self-healing materials by introducing additional operators to the Bouc-Wen model. When the model is used as a representation of a real structure, it is important to precisely identify the model parameters to reduce the pertaining uncertainties. In this work, the nonlinear observability methods and the concept of non-smooth observability are utilized to analyze the observability of the model. The Unscented Kalman filter (UKF) and the recently suggested Discontinuous Unscented Kalman filter (DUKF) are implemented to identify the model, and the superior performance of the DUKF for parametric identification of non-smooth systems is highlighted.
Publication status:
Published
Peer review status:
Peer reviewed

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Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Oxford college:
Oriel College
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author
ORCID:
0000-0002-0917-8134
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author


Publisher:
International Association for Structural Control and Monitoring
Host title:
Proceedings of the 7th World Conference on Structural Control and Monitoring
Pages:
2215-2225
Publication date:
2018-07-15
Acceptance date:
2018-04-15
Event title:
7th World Conference on Structural Control and Monitoring (7WCSCM 2018)
Event location:
Qingdao, China
Event start date:
2018-07-22
Event end date:
2018-07-25


Language:
English
Keywords:
Pubs id:
1112082
Local pid:
pubs:1112082
Deposit date:
2020-06-13
ARK identifier:

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