Efficient solution methods for modelling slowly evolving mechanical phenomena in cells and tissues using the discrete element method
DOI10.1016/J.ENGANABOUND.2018.05.011zbMath1464.92027OpenAlexW2808894915MaRDI QIDQ1717168
David W. Smith, Bruce S. Gardiner, Grand Roman Joldes
Publication date: 7 February 2019
Published in: Engineering Analysis with Boundary Elements (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.enganabound.2018.05.011
dynamic relaxationdiscrete element methodexplicit time integrationmass scalingstable time steptissue modelling
Biomechanics (92C10) Cell biology (92C37) Numerical methods for partial differential equations, initial value and time-dependent initial-boundary value problems (65M99)
Cites Work
- Real-time nonlinear finite element computations on GPU - application to neurosurgical simulation
- Computation of intra-operative brain shift using dynamic relaxation
- Patient-calibrated agent-based modelling of ductal carcinoma in situ (DCIS): from microscopic measurements to macroscopic predictions of clinical progression
- An adaptive dynamic relaxation method for solving nonlinear finite element problems. Application to brain shift estimation
- MR linear contact detection algorithm
- A contact algorithm for partitioning N arbitrary sized objects
- Selecting a suitable time step for discrete element simulations that use the central difference time integration scheme
- Unnamed Item
- Unnamed Item
- Unnamed Item
This page was built for publication: Efficient solution methods for modelling slowly evolving mechanical phenomena in cells and tissues using the discrete element method