Vote for your favorite mineral in #MinCup25! - Zunyite vs. Molybdenite
It's the visually-unmistakable #zunyite vs the physically funky #molybdenite.
Log InRegister
Quick Links : The Mindat ManualThe Rock H. Currier Digital LibraryMindat Newsletter [Free Download]
Home PageAbout MindatThe Mindat ManualHistory of MindatCopyright StatusWho We AreContact UsAdvertise on Mindat
Donate to MindatCorporate SponsorshipSponsor a PageSponsored PagesMindat AdvertisersAdvertise on Mindat
Learning CenterWhat is a mineral?The most common minerals on earthInformation for EducatorsMindat ArticlesThe ElementsThe Rock H. Currier Digital LibraryGeologic Time
Minerals by PropertiesMinerals by ChemistryAdvanced Locality SearchRandom MineralRandom LocalitySearch by minIDLocalities Near MeSearch ArticlesSearch GlossaryMore Search Options
Search For:
Mineral Name:
Locality Name:
Keyword(s):
 
The Mindat ManualAdd a New PhotoRate PhotosLocality Edit ReportCoordinate Completion ReportAdd Glossary Item
Mining CompaniesStatisticsUsersMineral MuseumsClubs & OrganizationsMineral Shows & EventsThe Mindat DirectoryDevice SettingsThe Mineral Quiz
Photo SearchPhoto GalleriesSearch by ColorNew Photos TodayNew Photos YesterdayMembers' Photo GalleriesPast Photo of the Day GalleryPhotography

Irazábal, Joaquín, Salazar, Fernando, Oñate, Eugenio (2017) Numerical modelling of granular materials with spherical discrete particles and the bounded rolling friction model. Application to railway ballast. Computers and Geotechnics, 85. 220-229 doi:10.1016/j.compgeo.2016.12.034

Advanced
   -   Only viewable:
Reference TypeJournal (article/letter/editorial)
TitleNumerical modelling of granular materials with spherical discrete particles and the bounded rolling friction model. Application to railway ballast
JournalComputers and Geotechnics
AuthorsIrazábal, JoaquínAuthor
Salazar, FernandoAuthor
Oñate, EugenioAuthor
Year2017 (May)Volume85
PublisherElsevier BV
DOIdoi:10.1016/j.compgeo.2016.12.034Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID1007007Long-form Identifiermindat:1:5:1007007:5
GUID0
Full ReferenceIrazábal, Joaquín, Salazar, Fernando, Oñate, Eugenio (2017) Numerical modelling of granular materials with spherical discrete particles and the bounded rolling friction model. Application to railway ballast. Computers and Geotechnics, 85. 220-229 doi:10.1016/j.compgeo.2016.12.034
Plain TextIrazábal, Joaquín, Salazar, Fernando, Oñate, Eugenio (2017) Numerical modelling of granular materials with spherical discrete particles and the bounded rolling friction model. Application to railway ballast. Computers and Geotechnics, 85. 220-229 doi:10.1016/j.compgeo.2016.12.034
In(2017) Computers and Geotechnics Vol. 85. Elsevier BV

See Also

These are possibly similar items as determined by title/reference text matching only.

Salazar, Antonio, Sáez, Esteban, Pardo, Gislaine (2015) Modeling the direct shear test of a coarse sand using the 3D Discrete Element Method with a rolling friction model. Computers and Geotechnics, 67. 83-93 doi:10.1016/j.compgeo.2015.02.017
Rangel, Rafael L., Gimenez, Juan M., Oñate, Eugenio, Franci, Alessandro (2024) A continuum–discrete multiscale methodology using machine learning for thermal analysis of granular media. Computers and Geotechnics, 168. 106118 doi:10.1016/j.compgeo.2024.106118
Rangel, Rafael L., Franci, Alessandro, Oñate, Eugenio, Gimenez, Juan M. (2024) Multiscale data-driven modeling of the thermomechanical behavior of granular media with thermal expansion effects. Computers and Geotechnics, 176. doi:10.1016/j.compgeo.2024.106789
Liu, Jiayuan, Hanley, Kevin J. (2023) CFD–DEM modelling of the infiltration of non-spherical slurry particles in granular soils. Computers and Geotechnics, 164. 105845 doi:10.1016/j.compgeo.2023.105845
Jiang, M.J., Yu, H.-S., Harris, D. (2005) A novel discrete model for granular material incorporating rolling resistance. Computers and Geotechnics, 32. 340-357 doi:10.1016/j.compgeo.2005.05.001
Garcia, Fernando E., Bray, Jonathan D. (2019) Modeling the shear response of granular materials with discrete element assemblages of sphere-clusters. Computers and Geotechnics, 106. 99-107 doi:10.1016/j.compgeo.2018.10.003
Salazar, F., Irazábal, J., Larese, A., Oñate, E. (2016) Numerical modelling of landslide-generated waves with the particle finite element method (PFEM) and a non-Newtonian flow model. International Journal for Numerical and Analytical Methods in Geomechanics, 40. 809-826 doi:10.1002/nag.2428
Kildashti, Kamyar, Dong, Kejun, Samali, Bijan (2019) Explicit force model for discrete modelling of elliptical particles. Computers and Geotechnics, 110. 122-131 doi:10.1016/j.compgeo.2019.02.004
de-Pouplana, Ignasi, Oñate, Eugenio (2018) Finite element modelling of fracture propagation in saturated media using quasi-zero-thickness interface elements. Computers and Geotechnics, 96. 103-117 doi:10.1016/j.compgeo.2017.10.016
Cuvilliez, Sam, Djouadi, Inès, Raude, Simon, Fernandes, Roméo (2017) An elastoviscoplastic constitutive model for geomaterials: Application to hydromechanical modelling of claystone response to drift excavation. Computers and Geotechnics, 85. 321-340 doi:10.1016/j.compgeo.2016.08.004
Jenck, Orianne, Dias, Daniel, Kastner, Richard (2009) Discrete element modelling of a granular platform supported by piles in soft soil – Validation on a small scale model test and comparison to a numerical analysis in a continuum. Computers and Geotechnics, 36. 917-927 doi:10.1016/j.compgeo.2009.02.001
 
and/or  
Mindat.org is an outreach project of the Hudson Institute of Mineralogy, a 501(c)(3) not-for-profit organization.
Copyright © mindat.org and the Hudson Institute of Mineralogy 1993-2025, except where stated. Most political location boundaries are © OpenStreetMap contributors. Mindat.org relies on the contributions of thousands of members and supporters. Founded in 2000 by Jolyon Ralph.
To cite: Ralph, J., Von Bargen, D., Martynov, P., Zhang, J., Que, X., Prabhu, A., Morrison, S. M., Li, W., Chen, W., & Ma, X. (2025). Mindat.org: The open access mineralogy database to accelerate data-intensive geoscience research. American Mineralogist, 110(6), 833–844. doi:10.2138/am-2024-9486.
Privacy Policy - Terms & Conditions - Contact Us / DMCA issues - Report a bug/vulnerability Current server date and time: September 12, 2025 15:12:56
Go to top of page