Journal
APPLIED MATHEMATICAL MODELLING
Volume 101, Issue -, Pages 673-693Publisher
ELSEVIER SCIENCE INC
DOI: 10.1016/j.apm.2021.09.009
Keywords
Finite volume method; Mechanical contact; Segment-to-segment; OpenFOAM
Funding
- NV Bekaert SA, Belgium
- Irish Research Council [IRCLA/2017/45]
- Bekaert, through the Bekaert University Technology Centre (UTC) at University College Dublin
- I-Form - Science Foundation Ireland (SFI) [16/RC/3872]
- European Regional Development Fund
Ask authors/readers for more resources
This paper introduces a new contact boundary condition for finite volume simulations of frictional contact problems, based on penalty based segment-to-segment contact force calculation method. Compared to pointwise contact force calculation algorithm, this approach allows for more accurate and robust treatment of contact area edge.
This paper presents a new contact boundary condition for finite volume simulations of frictional contact problems involving geometrical and material non-linearities. Deforma-tion of bodies in contact is described by the updated Lagrangian form of the momentum equation which is discretised in space using the cell-centred finite volume method. The proposed contact boundary condition is based on the finite volume implementation of the penalty based segment-to-segment contact force calculation method in which normal con-tact pressure, governed by a penalty law, is integrated across the discretised contact sur-face, enforcing contact constraints in an integral manner. Such an approach, as opposed to the pointwise contact force calculation algorithm, allows for more accurate and more ro-bust treatment of the contact area edge, simultaneous calculation of contact forces on both contact surfaces as well as smoother contact force during large sliding. The proposed nu-merical method is tested on challenging mechanical contact problems showing very good agreement with the available benchmark results. (c) 2021 Elsevier Inc. All rights reserved.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available