Computational fracture mechanics: Configurational Forces & fatigue analysis
- Date: Friday 30 October 2020, 10:00 – 11:00
- Location: Online
- Type: Seminars, Computing, Computational Science and Engineering
- Cost: Free
Computational science seminar series
Speaker: Dr William Coombs, University of Durham
Connection via BB Collaborate Ultra. Contact Tom Ranner (T.Ranner at leeds.ac.uk) for connection details or to subscribe to mailing list.
Modelling fracture in brittle materials remains a challenging problem in computational mechanics. In order to make fracture/fatigue predictions, engineers require accurate determination the stress intensity factors at the tips/fronts of evolving fracture networks. Most methods that are able to obtain accuracies suitable for fatigue predictions do so by incorporating knowledge of the stress field around the crack tip within the numerical method. However, these stress field solutions are only valid for specific materials and in the immediate vicinity of the crack tips, there are also computational issues when analysing problems involving several propagating fractures. This presentation will detail a Configurational Force-based method that removes the necessity of knowing the stress field a priori whilst producing very accurate stress intensity values at crack tips . The proposed method is demonstrated to be path independent and is combined with a robust a posteriori residual error estimator  which can be used to quantify the errors associated with the fracture predictions. Accuracies are achieved which are at least 100 times more accurate than other numerical methods which make no assumption about the local tip stress field. This opens the door for Configurational Force-based methods to be used for fatigue predictions.
 Bird, R.E., Coombs, W.M. & Giani, S. (2019). Accurate Configuration Force Evaluation via hp-adaptive Discontinuous Galerkin Finite Element Analysis. Engineering Fracture Mechanics 216: 106370.
 Bird, R. E., Coombs, W. M. & Giani, S. (2019). A posteriori discontinuous Galerkin error estimator for linear elasticity. Applied Mathematics and Computation 344-345: 78-96.
Bio: Will Coombs is currently an Associate Professor in Computational Mechanics in the Department of Engineering at Durham University. Will originally trained as a Civil Engineer before studying for a PhD in Computational Mechanics, focused on constitutive modelling of soils under large deformations, which he completed in 2011. In the same year he was appointed as a Lecturer at Durham University. Since that time he has published over 30 peer reviewed journal papers in areas such as: (i) constitutive modelling of soils, (ii) plasticity formulations, (iii) advanced finite element methods, (iv) imposition of boundary conditions, (v) meshless/meshfree methods, (vi) the material point method, (vii) topology optimization and (viii) computational fracture mechanics.
Department webpages: https://www.dur.ac.uk/research/directory/staff/?mode=staff&id=6346