Cohesive frictional-contact model for dynamic fracture simulations under compression

Hyunil Baek, Kyoungsoo Park

Research output: Contribution to journalArticlepeer-review

11 Citations (Scopus)


In this study, a cohesive frictional-contact model is developed by integrating the cohesive zone model and the frictional-contact model to predict fracture behaviors under compression. In the cohesive zone model, a potential-based model, named as the PPR model, is employed to define the traction-separation relation. A frictional force is approximated using a Coulomb frictional model, which accounts for a stick/slip condition. A normal contact force is estimated by employing a penalty method. In order to evaluate stable normal contact forces, penalty parameters are defined by introducing non-dimensional contact parameters. This leads to less sensitive error of contact pressure with respect to the change in material properties and time increments. Furthermore, an example of an earthquake rupture and masonry shear tests under compression are simulated using the proposed framework. The computational results demonstrate that the cohesive frictional-contact model reproduces slip-weakening behaviors along a fault plane and captures experimental shear stress-slip relations according to the change in compressive stress on the fracture surface.

Original languageEnglish
Pages (from-to)86-99
Number of pages14
JournalInternational Journal of Solids and Structures
Publication statusPublished - 2018 Jul

Bibliographical note

Funding Information:
This study was supported by Basic Science Research Program through the National Research Foundation of Korea ( NRF ) funded by the Ministry of Science, ICT & Future Planning ( NRF-2015R1C1A1A02037663 ), and by the Korea Institute of Energy Technology Evaluation and Planning ( KETEP ) funded by the Ministry of Trade , Industry & Energy ( 20174030201480 ). The information presented in this study is the sole opinion of the authors and does not necessarily reflect the views of the sponsoring agencies.

All Science Journal Classification (ASJC) codes

  • Modelling and Simulation
  • Materials Science(all)
  • Condensed Matter Physics
  • Mechanics of Materials
  • Mechanical Engineering
  • Applied Mathematics

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