Watch the Dallas Symposium LIVE, and fundraiser auction
Ticket proceeds support mindat.org! - click here...
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

Khan, Muhammad Hasnain Ayub, Abdallah, Adel, Cuisinier, Olivier (2025) Insights into the strength development in cement-treated soils: An explainable AI-based approach for optimized mix design. Computers and Geotechnics, 180. doi:10.1016/j.compgeo.2025.107103

Advanced
   -   Only viewable:
Reference TypeJournal (article/letter/editorial)
TitleInsights into the strength development in cement-treated soils: An explainable AI-based approach for optimized mix design
JournalComputers and Geotechnics
AuthorsKhan, Muhammad Hasnain AyubAuthor
Abdallah, AdelAuthor
Cuisinier, OlivierAuthor
Year2025 (April)Volume180
PublisherElsevier BV
DOIdoi:10.1016/j.compgeo.2025.107103Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID17962048Long-form Identifiermindat:1:5:17962048:5
GUID0
Full ReferenceKhan, Muhammad Hasnain Ayub, Abdallah, Adel, Cuisinier, Olivier (2025) Insights into the strength development in cement-treated soils: An explainable AI-based approach for optimized mix design. Computers and Geotechnics, 180. doi:10.1016/j.compgeo.2025.107103
Plain TextKhan, Muhammad Hasnain Ayub, Abdallah, Adel, Cuisinier, Olivier (2025) Insights into the strength development in cement-treated soils: An explainable AI-based approach for optimized mix design. Computers and Geotechnics, 180. doi:10.1016/j.compgeo.2025.107103
In(2025) Computers and Geotechnics Vol. 180. Elsevier BV

References Listed

These are the references the publisher has listed as being connected to the article. Please check the article itself for the full list of references which may differ. Not all references are currently linkable within the Digital Library.

Not Yet Imported: - journal-article : 10.3390/geotechnics3020026

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
Abdullah, Gamil M. S., Ahmad, Mahmood, Babur, Muhammad, Badshah, Muhammad Usman, Al-Mansob, Ramez A., Gamil, Yaser, Fawad, Muhammad (2024) Boosting-based ensemble machine learning models for predicting unconfined compressive strength of geopolymer stabilized clayey soil. Scientific Reports, 14 (1) doi:10.1038/s41598-024-52825-7
Not Yet Imported: - journal-article : 10.1016/j.inffus.2023.101805

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
Baldovino (2019) Int. J. Geotech. Eng. Equations controlling the strength of sedimentary silty soil–cement blends: influence of voids/cement ratio and types of cement
Not Yet Imported: - journal-article : 10.1061/(ASCE)MT.1943-5533.0002973

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
Barton (2014)
Beckett, Christopher, Ciancio, Daniela (2014) Effect of compaction water content on the strength of cement-stabilized rammed earth materials. Canadian Geotechnical Journal, 51 (5). 583-590 doi:10.1139/cgj-2013-0339
Not Yet Imported: - journal-article : 10.1016/j.eswa.2023.121464

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
Not Yet Imported: - journal-article : 10.1061/TACEAT.0006109

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
Catton (1962) Portland Cem. Assoc R Lab Bull. Soil-Cement Technology-A Resume
Not Yet Imported: - journal-article : 10.1007/s41062-020-00410-y

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
Chen (2016) Xgboost: A scalable tree boosting system , 785
Chen, Quanyuan, Ke, Yujuan, Zhang, Lina, Tyrer, Mark, Hills, Colin D., Xue, Gang (2009) Application of accelerated carbonation with a combination of Na2CO3 and CO2 in cement-based solidification/stabilization of heavy metal-bearing sediment. Journal of Hazardous Materials, 166. 421-427 doi:10.1016/j.jhazmat.2008.11.067
Chian, S. C., Nguyen, S. T., Phoon, K. K. (2016) Extended Strength Development Model of Cement-Treated Clay. Journal of Geotechnical and Geoenvironmental Engineering, 142 (2). 6015014pp. doi:10.1061/(asce)gt.1943-5606.0001400
Consoli, Nilo Cesar, Foppa, Diego, Festugato, Lucas, Heineck, Karla Salvagni (2007) Key Parameters for Strength Control of Artificially Cemented Soils. Journal of Geotechnical and Geoenvironmental Engineering, 133 (2). 197-205 doi:10.1061/(asce)1090-0241(2007)133:2(197)
Consoli, Nilo Cesar, Rosa, Daniela Aliati, Cruz, Rodrigo Caberlon, Rosa, Amanda Dalla (2011) Water content, porosity and cement content as parameters controlling strength of artificially cemented silty soil. Engineering Geology, 122 (3). 328-333 doi:10.1016/j.enggeo.2011.05.017
Consoli, N. C., Rotta, G. V., Prietto, P. D. M. (2000) Influence of curing under stress on the triaxial response of cemented soils. Géotechnique, 50 (1). 99-105 doi:10.1680/geot.2000.50.1.99
Do, Huu-Dao, Pham, Van-Ngoc, Nguyen, Hong-Hai, Huynh, Phuong-Nam, Han, Jie (2021) Prediction of Unconfined Compressive Strength and Flexural Strength of Cement-Stabilized Sandy Soils: A Case Study in Vietnam. Geotechnical and Geological Engineering, 39 (7) 4947-4962 doi:10.1007/s10706-021-01805-z
Dong, Xinxin, Bao, Xiaohua, Cui, Hongzhi, Xu, Changjie, Chen, Xiangsheng (2022) Effects of Cement Treatment on Mechanical Properties and Microstructure of a Granite Residual Soil. Applied Sciences, 12 (24) 12549 doi:10.3390/app122412549
Not Yet Imported: - journal-article : 10.1061/AJGEB6.0000778

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
Felt (1955) Highw. Res. Board Bull. Factors influencing physical properties of soil-cement mixtures
Not Yet Imported: Journal of Structural Engineering - journal-article : 10.1061/(ASCE)ST.1943-541X.0003115

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
Not Yet Imported: - journal-article : 10.1109/ACCESS.2023.3324037

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
Ho, Lanh Si, Nakarai, Kenichiro, Ogawa, Yuko, Sasaki, Takashi, Morioka, Minoru (2017) Strength development of cement-treated soils: Effects of water content, carbonation, and pozzolanic reaction under drying curing condition. Construction and Building Materials, 134. 703-712 doi:10.1016/j.conbuildmat.2016.12.065
Horpibulsuk, S., Miura, N., Nagaraj, T. S. (2003) Assessment of strength development in cement-admixed high water content clays with Abrams' law as a basis. Géotechnique, 53 (4). 439-444 doi:10.1680/geot.2003.53.4.439
Horpibulsuk, Suksun, Rachan, Runglawan, Suddeepong, Apichat (2011) Assessment of strength development in blended cement admixed Bangkok clay. Construction and Building Materials, 25. 1521-1531 doi:10.1016/j.conbuildmat.2010.08.006
Ingles (1972) Syd. NSW Soil stabilization principles and practice Butterworths , 374
Jas, Kaushik, Mangalathu, Sujith, Dodagoudar, G.R. (2024) Evaluation and analysis of liquefaction potential of gravelly soils using explainable probabilistic machine learning model. Computers and Geotechnics, 167. 106051 doi:10.1016/j.compgeo.2023.106051
Jayasinghe, C., Kamaladasa, N. (2007) Compressive strength characteristics of cement stabilized rammed earth walls. Construction and Building Materials, 21. 1971-1976 doi:10.1016/j.conbuildmat.2006.05.049
Kang, Gyeongo, Tsuchida, Takashi, Athapaththu, A.M.R.G. (2015) Strength mobilization of cement-treated dredged clay during the early stages of curing. Soils and Foundations, 55 (2). 375-392 doi:10.1016/j.sandf.2015.02.012
Kang, Gyeongo, Tsuchida, Takashi, Athapaththu, A.M.R.G. (2016) Engineering behavior of cement-treated marine dredged clay during early and later stages of curing. Engineering Geology, 209. 163-174 doi:10.1016/j.enggeo.2016.05.008
Kang (2023) Case Stud. Constr. Mater. Predictive strength model of cement-treated fine-grained soils using key parameters: Consideration of the total water/cement and soil/cement ratios 18
Not Yet Imported: - journal-article : 10.1016/j.trgeo.2021.100591

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
Kézdi (1979)
Khan, M.H.A., Abdallah, A., Cuisinier, O., 2024a. Optimized XGB-based predictive modeling of the UCS of cement-treated soils. https://doi.org/10.5281/zenodo.13890356.
Khan, Muhammad Hasnain Ayub, Jafri, Turab H., Ud-Din, Sameer, Ullah, Haji Sami, Nawaz, Muhammad Naqeeb (2024) Prediction of soil compaction parameters through the development and experimental validation of Gaussian process regression models. Environmental Earth Sciences, 83 (4) doi:10.1007/s12665-024-11433-4
Kim, Taeyoon, Shahriar, Azmayeen R., Lee, Woo-Dong, Gabr, Mohammed A. (2024) Interpretable machine learning scheme for predicting bridge pier scour depth. Computers and Geotechnics, 170. 106302 doi:10.1016/j.compgeo.2024.106302
Kitazume (2013)
Lepakshi, R., Venkatarama Reddy, B.V. (2020) Shear strength parameters and Mohr-Coulomb failure envelopes for cement stabilised rammed earth. Construction and Building Materials, 249. 118708pp. doi:10.1016/j.conbuildmat.2020.118708
Li, Daihong, Zhang, Xiaoyu, Kang, Qian, Tavakkol, Ehsan (2023) Estimation of unconfined compressive strength of marine clay modified with recycled tiles using hybridized extreme gradient boosting method. Construction and Building Materials, 393. 131992 doi:10.1016/j.conbuildmat.2023.131992
Lorenzo, Glen A., Bergado, Dennes T. (2004) Fundamental Parameters of Cement-Admixed Clay—New Approach. Journal of Geotechnical and Geoenvironmental Engineering, 130 (10). 1042-1050 doi:10.1061/(asce)1090-0241(2004)130:10(1042)
Lundberg, S.M., Erion, G.G., Lee, S.-I., 2018. Consistent individualized feature attribution for tree ensembles. ArXiv Prepr. ArXiv180203888.
Lundberg (2017) , 30
Lyse (1932) Tests on consistency and strength of concrete having constant water content , 629
Not Yet Imported: - journal-article : 10.1061/(ASCE)MT.1943-5533.0002059

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
Not Yet Imported: Artificial Intelligence - journal-article : 10.1016/j.artint.2018.07.007

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
Mitchell (1972)
Molnar (2020) Lulu. com. Interpretable machine learning
Moore (1970) Highw. Res. Rec. Factors affecting the tensile strength of cement-treated materials 315, 64
Nagaraj (1998) , 7
Nakarai, Kenichiro, Yoshida, Tomomi (2015) Effect of carbonation on strength development of cement-treated Toyoura silica sand. Soils and Foundations, 55 (4). 857-865 doi:10.1016/j.sandf.2015.06.016
Neter, J., Kutner, M.H., Nachtsheim, C.J., Wasserman, W., 1996. Applied linear statistical models.
Nguyen (2020) The Influence of Water Content and Compaction on the Unconfined Compression Strength of Cement Treated Clay , 175
Nguyen, Tan, Ly, Duy-Khuong, Huynh, Thien Q., Nguyen, Thanh T. (2023) Soft computing for determining base resistance of super-long piles in soft soil: A coupled SPBO-XGBoost approach. Computers and Geotechnics, 162. Elsevier BV. 105707 doi:10.1016/j.compgeo.2023.105707
NRCS, U., 1993. Soil survey division staff (1993) soil survey manual. Soil conservation service. US Dep. Agric. Handb. 18, 315.
Porbaha (1998) Applications. Proc. Inst. Civ. Eng.-Ground Improv. State of the art in deep mixing technology: part II 2, 125
Potdar (2017) Int. J. Comput. Appl. A comparative study of categorical variable encoding techniques for neural network classifiers 175, 7
Ribeiro (2016) “ Why should i trust you?” Explaining the predictions of any classifier , 1135
Sariosseiri, Farid, Muhunthan, Balasingam (2009) Effect of cement treatment on geotechnical properties of some Washington State soils. Engineering Geology, 104 (1). 119-125 doi:10.1016/j.enggeo.2008.09.003
Talamkhani (2023) Adv. Civ. Eng. Machine Learning‐Based Prediction of Unconfined Compressive Strength of Sands Treated by Microbially‐Induced Calcite Precipitation (MICP): A Gradient Boosting Approach and Correlation Analysis 2023
Thapa (2024) Model. Earth Syst. Environ. Enhancing unconfined compressive strength prediction in nano-silica stabilized soil: a comparative analysis of ensemble and deep learning models , 1
Thomé, Antônio, Donato, Maciel, Consoli, Nilo Cesar, Graham, James (2005) Circular footings on a cemented layer above weak foundation soil. Canadian Geotechnical Journal, 42 (6). 1569-1584 doi:10.1139/t05-069
Tripura, Deb Dulal, Gupta, Satish, Debbarma, Bandana, Deep, Raavi Satya Sai (2020) Flexural strength and failure trend of bamboo and coir reinforced cement stabilized rammed earth wallettes. Construction and Building Materials, 242. 117986pp. doi:10.1016/j.conbuildmat.2019.117986
Tsuchida, Takashi, Tang, Yi Xin (2015) Estimation of compressive strength of cement-treated marine clays with different initial water contents. Soils and Foundations, 55 (2). 359-374 doi:10.1016/j.sandf.2015.02.011
Ullah (2022) J. Build. Eng. Predictive modelling of sustainable lightweight foamed concrete using machine learning novel approach 56
Not Yet Imported: - journal-article : 10.1016/j.engstruct.2023.115771

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
XGBoost, 2021. XGBoost Documentation. URL https://xgboost.readthedocs.io/en/release_0.80/index.html.
Yao, Qianglong, Tu, Yiliang, Yang, Jiahui, Zhao, Mingjie (2024) Hybrid XGB model for predicting unconfined compressive strength of solid waste-cement-stabilized cohesive soil. Construction and Building Materials, 449. doi:10.1016/j.conbuildmat.2024.138242
Zhang, R. J., Santoso, A. M., Tan, T. S., Phoon, K. K. (2013) Strength of High Water-Content Marine Clay Stabilized by Low Amount of Cement. Journal of Geotechnical and Geoenvironmental Engineering, 139 (12). 2170-2181 doi:10.1061/(asce)gt.1943-5606.0000951
Zhang, Chen, Zhu, Zhiduo, Liu, Fa, Yang, Yang, Wan, Yu, Huo, Wangwen, Yang, Liu (2023) Efficient machine learning method for evaluating compressive strength of cement stabilized soft soil. Construction and Building Materials, 392. 131887 doi:10.1016/j.conbuildmat.2023.131887
Zhao, Zening, Duan, Wei, Cai, Guojun, Wu, Meng, Liu, Songyu (2022) CPT-based fully probabilistic seismic liquefaction potential assessment to reduce uncertainty: Integrating XGBoost algorithm with Bayesian theorem. Computers and Geotechnics, 149. 104868 doi:10.1016/j.compgeo.2022.104868

See Also

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

Zhang, Tingting, Abdallah, Adel, Cuisinier, Olivier, Masrouri, Farimah (2025) Polynomial chaos kriging-assisted reliability-based design optimization for a deep mixing wall. Computers and Geotechnics, 179. doi:10.1016/j.compgeo.2024.107044
Robin, V., Javadi, A.A., Cuisinier, O., Masrouri, F. (2015) An effective constitutive model for lime treated soils. Computers and Geotechnics, 66. 189-202 doi:10.1016/j.compgeo.2015.01.010
Cuisinier, Olivier, Javadi, Akbar A., Ahangar-Asr, Alireza, Masrouri, Farimah (2013) Identification of coupling parameters between shear strength behaviour of compacted soils and chemical’s effects with an evolutionary-based data mining technique. Computers and Geotechnics, 48. 107-116 doi:10.1016/j.compgeo.2012.10.005
Maheepala, M.M.A.L.N., Nasvi, M.C.M., Robert, D.J., Gunasekara, C., Kurukulasuriya, L.C. (2023) Mix design development for geopolymer treated expansive subgrades using artificial neural network. Computers and Geotechnics, 161. 105534 doi:10.1016/j.compgeo.2023.105534
Ma, Xuening, Bai, Fan (2025) The role of geogrid aperture shape and size in strengthening aeolian sands: Insights from a coupled DEM-FDM approach. Computers and Geotechnics, 180. doi:10.1016/j.compgeo.2025.107067
Xie, Yipeng; Qu, Tongming; Yang, Junsheng; Wang, Shuying; Zhao, Jidong (2025) Multiscale insights into tunneling-induced ground responses in coarse-grained soils. Computers and Geotechnics, 185. doi:10.1016/j.compgeo.2025.107319
Ai, Zhi Yong, Kuang, He Wei, Ye, Zi Kun, Lu, Qing Song (2025) Interaction between piles and layered fractional viscoelastic soils considering groundwater level. Computers and Geotechnics, 180. doi:10.1016/j.compgeo.2025.107119
Zhao, Yiming, Teng, Chao (2025) Classification of soil layers in Deep Cement Mixing using optimized random forest integrated with AB-SMOTE for imbalance data. Computers and Geotechnics, 179. doi:10.1016/j.compgeo.2024.106976
Ziebarth, R.A., Corkum, A.G. (2024) Probabilistic Approach for Q-based Ground Support Design. Computers and Geotechnics, 176. doi:10.1016/j.compgeo.2024.106779
Cárdenas-Barrantes, Manuel, Ovalle, Carlos (2025) Multiscale insights into Sliding Surface Liquefaction through DEM simulations. Computers and Geotechnics, 183. doi:10.1016/j.compgeo.2025.107191
Khan, Waqar; Ahmad, Jawad; Alasbali, Nada; Mazroa, Alanoud Al; Alshehri, Mohammed S.; Khan, Muhammad Shahbaz (2025) A novel transformer-based explainable AI approach using SHAP for intrusion detection in vehicular ad hoc networks. Computer Networks, 270. doi:10.1016/j.comnet.2025.111575
 
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: August 19, 2025 16:04:45
Go to top of page