EN
Determining the Suction Capacity of Compacted Clays with Fuzzy-Set Theory
Abstract
Water suction capacity is an important parameter affecting the swelling properties and volumetric change of soil. Determination of the water suction capacity is made by the experiments which are needed long time in laboratory. However, this has random errors due to the heterogeneous and anisotropic structure of soil sample together with the error caused by the operator made the experiment. Such an estimation problem, included the errors, may be easily solved with the fuzzy-set theory. In this study, the suction capacity of compacted clayey soils is predicted with the fuzzy-set theory. For this reason, the engineering properties of clayey soil (plasticity index, dry density, initial water content and suction capacity) are partitioned into fuzzy subsets, and fuzzy rules are formed. Later, a computer program in the Fortran language is written to estimate the suction capacity of compacted clayey soil from these properties. It is shown that there is a good similarity between the results of the tests and proposed fuzzy logic model.
Keywords
Supporting Institution
Süleyman Demirel Üniversitesi Bilimsel Araştırmalar Koordinasyon Birimi
Thanks
Yazarlar SDU BAP a teşekkür ederler
References
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- [4] J. Krahn and D. G. Fredlund, “On total matric and osmotic suction,” J. Soil Sci., vol. 114, no. 5, pp. 339-348, 1972.
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- [6] N. Khalili and M. H. Khabbaz, “A unique relationship for χ the determination of the shear strength of unsaturated soils,” Geotech., vol. 48, no. 5, pp. 681-687, 1998.
- [7] J. F. T. Juca and V. Escario, “Variation of the modulus of determination of unsaturated soils with suction,” presented at the Proc. the Tenth European Conference on Soil Mechanics and Foundation Engineering, Florence, pp. 121-124, 1991.
- [8] S. K. Vanapalli, D. G. Fredlund, D. E. Pufahl, and A. W. Clifton, “Model for the prediction of shear strength with respect to soil suction,” Can. Geotech. J., vol. 33, pp. 379-392, 1996.
Details
Primary Language
English
Subjects
Civil Geotechnical Engineering
Journal Section
Research Article
Early Pub Date
September 20, 2024
Publication Date
September 26, 2024
Submission Date
June 28, 2024
Acceptance Date
August 15, 2024
Published in Issue
Year 2024 Volume: 13 Number: 3
APA
Çimen, Ö., & Keskin, N. (2024). Determining the Suction Capacity of Compacted Clays with Fuzzy-Set Theory. Bitlis Eren Üniversitesi Fen Bilimleri Dergisi, 13(3), 851-859. https://doi.org/10.17798/bitlisfen.1506446
AMA
1.Çimen Ö, Keskin N. Determining the Suction Capacity of Compacted Clays with Fuzzy-Set Theory. Bitlis Eren Üniversitesi Fen Bilimleri Dergisi. 2024;13(3):851-859. doi:10.17798/bitlisfen.1506446
Chicago
Çimen, Ömür, and Nilay Keskin. 2024. “Determining the Suction Capacity of Compacted Clays With Fuzzy-Set Theory”. Bitlis Eren Üniversitesi Fen Bilimleri Dergisi 13 (3): 851-59. https://doi.org/10.17798/bitlisfen.1506446.
EndNote
Çimen Ö, Keskin N (September 1, 2024) Determining the Suction Capacity of Compacted Clays with Fuzzy-Set Theory. Bitlis Eren Üniversitesi Fen Bilimleri Dergisi 13 3 851–859.
IEEE
[1]Ö. Çimen and N. Keskin, “Determining the Suction Capacity of Compacted Clays with Fuzzy-Set Theory”, Bitlis Eren Üniversitesi Fen Bilimleri Dergisi, vol. 13, no. 3, pp. 851–859, Sept. 2024, doi: 10.17798/bitlisfen.1506446.
ISNAD
Çimen, Ömür - Keskin, Nilay. “Determining the Suction Capacity of Compacted Clays With Fuzzy-Set Theory”. Bitlis Eren Üniversitesi Fen Bilimleri Dergisi 13/3 (September 1, 2024): 851-859. https://doi.org/10.17798/bitlisfen.1506446.
JAMA
1.Çimen Ö, Keskin N. Determining the Suction Capacity of Compacted Clays with Fuzzy-Set Theory. Bitlis Eren Üniversitesi Fen Bilimleri Dergisi. 2024;13:851–859.
MLA
Çimen, Ömür, and Nilay Keskin. “Determining the Suction Capacity of Compacted Clays With Fuzzy-Set Theory”. Bitlis Eren Üniversitesi Fen Bilimleri Dergisi, vol. 13, no. 3, Sept. 2024, pp. 851-9, doi:10.17798/bitlisfen.1506446.
Vancouver
1.Ömür Çimen, Nilay Keskin. Determining the Suction Capacity of Compacted Clays with Fuzzy-Set Theory. Bitlis Eren Üniversitesi Fen Bilimleri Dergisi. 2024 Sep. 1;13(3):851-9. doi:10.17798/bitlisfen.1506446