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dc.contributor.authorAbdulla, Mohammad
dc.contributor.authorSousa, Rita L
dc.contributor.authorArzuaga García, Ignacio Martín
dc.contributor.authorAlDajani, Omar AbdulFattah
dc.contributor.authorda Silva, Bruno G
dc.contributor.authorEinstein, Herbert H
dc.date.accessioned2021-12-13T16:20:38Z
dc.date.available2021-10-27T16:11:54Z
dc.date.available2021-12-13T16:20:38Z
dc.date.issued2021-03
dc.identifier.urihttps://hdl.handle.net/1721.1/133147.2
dc.description.abstractAbstract This paper presents a geometric, mechanics-based, stochastic model—FracProp—that was developed to predict fracture initiation and propagation in rock. FracProp is capable of quantifying uncertainties associated with the point of fracture initiation and direction of fracture propagation. The current version of FracProp uses compounded probability distributions that are continuously fitted based on mechanical principles (stress distribution and material properties). The model assumes that fracture initiation and propagation depend on the stress profiles around the fracture (flaw) tip in a rock block subjected to vertical, horizontal, and internal loading. To develop the model, we studied the mechanics of a rock block containing one single flaw (pre-existing opening) with the Finite Element (FE) software ABAQUS. Stress profiles obtained in the modeling were used with the model’s probabilistic processes to dynamically simulate (model) crack/fracture propagation. FracProp was validated with the results of experiments under various loading conditions done at the Massachusetts Institute of Technology (MIT) geomechanics laboratory.en_US
dc.publisherSpringer Viennaen_US
dc.relation.isversionofhttps://doi.org/10.1007/s00603-021-02377-3en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourceSpringer Viennaen_US
dc.titleFracProp: Stochastic Fracture Propagation Modelen_US
dc.typeArticleen_US
dc.identifier.citationAbdulla, Mohammad, Sousa, Rita L, Arzuaga, Ignazio, AlDajani, Omar, da Silva, Bruno G et al. 2021. "FracProp: Stochastic Fracture Propagation Model."en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Civil and Environmental Engineeringen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2021-04-25T03:30:20Z
dc.language.rfc3066en
dc.rights.holderThe Author(s), under exclusive licence to Springer-Verlag GmbH, AT part of Springer Nature
dspace.embargo.termsY
dspace.date.submission2021-04-25T03:30:20Z
mit.licenseOPEN_ACCESS_POLICY
mit.metadata.statusPublication Information Neededen_US


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