- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
1 Online-Ressource.
- Language
-
Englisch
- Bibliographic citation
-
Predicting Soil Swelling Potential Using Soil Classification Properties ; volume:41 ; number:8 ; day:22 ; month:6 ; year:2023 ; pages:4445-4457 ; date:11.2023
Geotechnical and geological engineering ; 41, Heft 8 (22.6.2023), 4445-4457, 11.2023
- Creator
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Barbosa, Victor H. R.
Marques, Maria E. S.
Guimarães, Antônio C. R.
- Contributor
-
SpringerLink (Online service)
- DOI
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10.1007/s10706-023-02525-2
- URN
-
urn:nbn:de:101:1-2023120810041748612785
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:26 AM CEST
Data provider
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Associated
- Barbosa, Victor H. R.
- Marques, Maria E. S.
- Guimarães, Antônio C. R.
- SpringerLink (Online service)
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Effectiveness of lime kiln dust on swelling of subgrade expansive soil
Predicting wetland soil properties using machine learning, geophysics, and soil measurement data
Predicting soil thickness on soil mantled hillslopes
Solubility and swelling of soils from native starch
The swelling of interparticulate hydrogels in soil and their contribution to soil structural stability and soil-water interactions
Discussion: A Fuzzy Classification Process for Swelling Soils [Transp. Infrastruct. Geotechnol. 10(3), 474–487]
A New Model for Evaluating the Behaviour of Swelling Soils
Soil Organic Matter as a Criteria in Soil Classification Systems
Relating soil physical properties to other soil properties and crop yields
Predicting USCS soil texture classes utilizing soil spectra and deep learning
Thermal properties of soils
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