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AuthorDruckrey, Andrew M.
AuthorAlshibli, Khalid A.
AuthorAl-Raoush, Riyadh I.
Available date2021-03-25T08:55:17Z
Publication Date2016
Publication NameComputers and Geotechnics
ResourceScopus
ISSN0266352X
URIhttp://dx.doi.org/10.1016/j.compgeo.2015.12.014
URIhttp://hdl.handle.net/10576/17995
AbstractParticle morphology, orientation, and contact configuration play a significant role in the engineering properties of granular materials. Accurate three-dimensional (3D) characterization of these parameters for experiments has historically proven difficult, especially in the context of particle contact with small particle size. This paper describes a computer code that was developed to analyze 3D images of granular materials to measure particle lengths (size), volume, surface area, global centroid location and orientation; it also provides a method to calculate particle contact location and orientation. Measurements from the proposed code can define a state of the granular material's fabric that can be used as input for micro-mechanics based constitutive models and to validate numerical discrete element simulations. A fabric tensor and its evolution is calculated based on experimental contact normal vectors that were extracted from SMT imaging of an axisymmetric triaxial compression experiment on a natural silica sand known as F-35 sand.
SponsorThis material is partially funded by the US National Science Foundation (NSF) under Grant No. CMMI-1266230 and Office of Naval Research (ONR) Grant No. N00014-11-1-0691 . Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the NSF or ONR. This paper used resources of the Advanced Photon Source (APS), a U.S. Department of Energy (DOE) Office of Science User Facility operated for the DOE Office of Science by Argonne National Laboratory (ANL) under Contract No. DE-AC02-06CH11357. The SMT images presented in this paper were collected using the X-ray Operations and Research Beamline Station 13-BMD at Argonne Photon Source (APS), ANL. We thank Dr. Mark Rivers of APS for help in performing the SMT scans. We also acknowledge the support of GeoSoilEnviroCARS (Sector 13), which is supported by the National Science Foundation, Earth Sciences ( EAR-1128799 ), and the DOE, Geosciences ( DE-FG02-94ER14466 ).
Languageen
PublisherElsevier Ltd
SubjectFabric
Granular materials
Normal to contact
Synchrotron computed tomography
Title3D characterization of sand particle-to-particle contact and morphology
TypeArticle
Pagination26-35
Volume Number74


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