On adaptive refinements in discrete probabilistic fracture models
DOI:
https://doi.org/10.3221/IGF-ESIS.39.01Keywords:
Adaptivity, Discrete model, Probability, Random fieldAbstract
The possibility to adaptively change discretization density is a well acknowledged and used feature of many continuum models. It is employed to save computational time and increase solution accuracy. Recently, adaptivity has been introduced also for discrete particle models. This contribution applies adaptive technique in probabilistic discrete modelling where material properties are varying in space according to a random field. The random field discretization is adaptively refined hand in hand with the model geometry.
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