Views provided by UsageCounts
This data set contains the codes necessary to run the simulations described in the paper "On the formulation and implementation of extrinsic cohesive zone models with contact", published in Computer Methods in Applied Mechanics and Engineering: https://doi.org/10.1016/j.cma.2022.115545 The codes are also available in a GitHub repository (which is the recommended method of obtaining them): https://github.com/nickcollins-craft/On-the-formulation-and-implementation-of-extrinsic-cohesive-zone-models-with-contact In order to run the codes, the user first requires a working installation of Python 3 (the codes were run on Python 3.8.13). We strongly recommend using Anaconda to manage the installation: https://www.anaconda.com/products/distribution Then, the user must install meshio (the codes were run on meshio 5.3.0): https://github.com/nschloe/meshio Separately, the user must also install gmsh (the codes were run on Gmsh 4.8.1): https://gmsh.info/ Finally, the user must also install Siconos (the codes were run on Siconos 4.4.0): https://nonsmooth.gricad-pages.univ-grenoble-alpes.fr/siconos/ Then, those codes that call the Siconos software can be run by typing "siconos <name_of_code.py>" and pressing enter while in the working directory. All other codes can be run by typing "python <name_of_code.py>" and pressing enter while in the working directory. Users of this software should also cite each software listed above where appropriate. Two of the codes ("DCB_mesh_and_end_plot.py" and "Rhombus_mesh_and_end_plot.py") also require images that are included in the related repository containing the output data: https://doi.org/10.5281/zenodo.6939154 Contact: nicholas[dot]collins-craft[at]inria[dot]fr
This work was carried out as part of Project SMART-PROTECT, financed by the Auvergne-Rhône-Alpes region.
Extrinsic cohesive zone, Finite element analysis, Dynamic crack propagation, Non-smooth mechanics
Extrinsic cohesive zone, Finite element analysis, Dynamic crack propagation, Non-smooth mechanics
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 3 |

Views provided by UsageCounts