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A model for nonlinear hysteretic and ratcheting behaviour

Abstract:
We present a theoretical model to describe the response of a one dimensional mechanical system under cyclic loading. Specifically, the model addresses the non-linear response on loading, hysteretic behaviour on unloading and reloading, and the phenomenon of ratcheting under very many cycles. The methods developed are formulated within the hyperplasticity framework. The model can be expressed in the form of general incremental relationships, can therefore be applied without modification directly to any loading history, and can be readily implemented within a time-stepping numerical code. A rigorous procedure is described to accelerate the ratcheting process, so that the effects of very large numbers of cycles can be analysed through a reduced number of cycles. A generalisation from unidirectional to multidirectional loading is described, together with a tensorial form for application to material modelling. The original motivation was for the application to design of piles under lateral loading, and an example of this application is provided. However, the model is equally applicable to many other problems involving unidirectional or bi-directional cyclic loading in which the system exhibits a similar character of hysteretic behaviour, with ratcheting under large numbers of cycles.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1016/j.ijsolstr.2017.04.031

Authors

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Institution:
University of Oxford
Oxford college:
Brasenose College
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author


More from this funder
Funding agency for:
Abadie, C


Publisher:
Elsevier
Journal:
International Journal of Solids and Structures More from this journal
Volume:
120
Pages:
67–80
Publication date:
2017-04-21
Acceptance date:
2017-04-20
DOI:
EISSN:
1879-2146
ISSN:
0020-7683


Keywords:
Pubs id:
pubs:690332
UUID:
uuid:71d769cc-7555-4f97-9776-677d657d027f
Local pid:
pubs:690332
Source identifiers:
690332
Deposit date:
2017-04-21
ARK identifier:

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