Vote for your favorite mineral in #MinCup25! - Stibnite vs. Perovskite
It's all about how minerals interact with humans as dramatic #stibnite faces off against futuristic #perovskite.
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

Alkroosh, Iyad S., Bahadori, Mohammad, Nikraz, Hamid, Bahadori, Alireza (2015) Regressive approach for predicting bearing capacity of bored piles from cone penetration test data. Journal of Rock Mechanics and Geotechnical Engineering, 7 (5). 584-592 doi:10.1016/j.jrmge.2015.06.011

Advanced
   -   Only viewable:
Reference TypeJournal (article/letter/editorial)
TitleRegressive approach for predicting bearing capacity of bored piles from cone penetration test data
JournalJournal of Rock Mechanics and Geotechnical Engineering
AuthorsAlkroosh, Iyad S.Author
Bahadori, MohammadAuthor
Nikraz, HamidAuthor
Bahadori, AlirezaAuthor
Year2015 (October)Volume7
Issue5
PublisherElsevier BV
DOIdoi:10.1016/j.jrmge.2015.06.011Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID9371915Long-form Identifiermindat:1:5:9371915:9
GUID0
Full ReferenceAlkroosh, Iyad S., Bahadori, Mohammad, Nikraz, Hamid, Bahadori, Alireza (2015) Regressive approach for predicting bearing capacity of bored piles from cone penetration test data. Journal of Rock Mechanics and Geotechnical Engineering, 7 (5). 584-592 doi:10.1016/j.jrmge.2015.06.011
Plain TextAlkroosh, Iyad S., Bahadori, Mohammad, Nikraz, Hamid, Bahadori, Alireza (2015) Regressive approach for predicting bearing capacity of bored piles from cone penetration test data. Journal of Rock Mechanics and Geotechnical Engineering, 7 (5). 584-592 doi:10.1016/j.jrmge.2015.06.011
In(2015, October) Journal of Rock Mechanics and Geotechnical Engineering Vol. 7 (5) Elsevier BV

See Also

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

Kalantari, Sajjad, Baghbanan, Alireza, Hashemalhosseini, Hamid (2019) An analytical model for estimating rock strength parameters from small-scale drilling data. Journal of Rock Mechanics and Geotechnical Engineering, 11 (1). 135-145 doi:10.1016/j.jrmge.2018.09.005
(1991) Prediction of the bearing capacity of bored piles from dynamic penetration tests. International Journal of Rock Mechanics and Mining Sciences & Geomechanics Abstracts, 28 (1). doi:10.1016/0148-9062(91)93619-h
Bahadori, Hadi, Farzalizadeh, Roohollah, Barghi, Ali, Hasheminezhad, Araz (2018) A comparative study between gravel and rubber drainage columns for mitigation of liquefaction hazards. Journal of Rock Mechanics and Geotechnical Engineering, 10 (5). 924-934 doi:10.1016/j.jrmge.2018.03.008
Alkroosh, I., Nikraz, H. (2011) Correlation of Pile Axial Capacity and CPT Data Using Gene Expression Programming. Geotechnical and Geological Engineering, 29 (5). 725-748 doi:10.1007/s10706-011-9413-1
Dong, Youkou; Wang, Kuanjun; Shen, Kanmin; Cui, Lan (2025) Understanding the scattering data from cone penetration tests based on sedimentary facies. Journal of Rock Mechanics and Geotechnical Engineering, 17 (8). doi:10.1016/j.jrmge.2024.11.054
Skea, Christopher, Rezagholilou, Alireza, Behnoud Far, Pouria, Gholami, Raoof, Sarmadivleh, Mohammad (2018) An approach for wellbore failure analysis using rock cavings and image processing. Journal of Rock Mechanics and Geotechnical Engineering, 10 (5). 865-878 doi:10.1016/j.jrmge.2018.04.011
Guan, Zheng, Wang, Yu, Zhao, Tengyuan (2022) Adaptive sampling strategy for characterizing spatial distribution of soil liquefaction potential using cone penetration test. Journal of Rock Mechanics and Geotechnical Engineering, 14 (4) 1221-1231 doi:10.1016/j.jrmge.2022.01.011
Abu-Farsakh, Murad Y., Shoaib, Mohammad Moontakim (2024) Machine Learning Models to Evaluate the Load-Settlement Behavior of Piles from Cone Penetration Test Data. Geotechnical and Geological Engineering, 42 (5) 3433-3449 doi:10.1007/s10706-023-02737-6
Liu, Mingpeng, Sun, Enci, Zhang, Ningning, Lai, Fengwen, Fuentes, Raul (2024) A virtual calibration chamber for cone penetration test based on deep-learning approaches. Journal of Rock Mechanics and Geotechnical Engineering, 16 (12). doi:10.1016/j.jrmge.2024.10.004
Baghban, Alireza, Bahadori, Mohammad, Kashiwao, Tomoaki, Bahadori, Alireza (2016) Modelling of gas to hydrate conversion for promoting CO2capture processes in the oil and gas industry. Petroleum Science and Technology, 34 (7). 642-651 doi:10.1080/10916466.2016.1156126
Ahmadi, Mohammad-Ali, Bahadori, Alireza (2015) A LSSVM approach for determining well placement and conning phenomena in horizontal wells. Fuel, 153. 276-283 doi:10.1016/j.fuel.2015.02.094
 
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 Β© 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 18, 2025 23:03:39
Go to top of page