Collapsible characteristics and prediction model of remodeled loess
Author:
Funder
Outstanding Youth Science Fund Project of Xinjiang Uygur Autonomous Region
Special projects on key R&D tasks of the autonomous region
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11069-024-06804-w.pdf
Reference43 articles.
1. Abd El Aal AK, Rouaiguia A (2020) Determination of the geotechnical parameters of soils behavior for safe future urban development, Najran Area, Saudi Arabia: implications for settlements mitigation. Geotech Geol Eng 38(1):695–712. https://doi.org/10.1007/s10706-019-01058-x
2. Chen HE, Jiang YL, Gao Y, Yuan XQ (2019) Structural characteristics and its influencing factors of typical loess. Bull Eng Geol Env 78:4893–4905. https://doi.org/10.1007/s10064-018-1431-2
3. Emami Meybodi E, DastBaravarde A, Hussain SK, Karimdost S (2023) Machine-learning method applied to provide the best predictive model for rock mass deformability modulus (Em). Environ Earth Sci 82:149. https://doi.org/10.1007/s12665-023-10815-4
4. Gao YY, Qian H, Li XY, Chen J, Jia H (2018) Effects of lime treatment on the hydraulic conductivity and microstructure of loess. Environ Earth Sci 77(14):529
5. Gao QF, Hattab M, Jrad M, Fleureau JM, Hicher PY (2019a) Microstructural organization of remoulded cla-ys in relation with dilatancy/ contractancy phenomena. Acta Geotech 15(8):223–243
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