Estimation of the undrained shear strength of sensitive clays using optimized inference intelligence system
Author:
Funder
H2020 Marie Skłodowska-Curie Actions
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
https://link.springer.com/content/pdf/10.1007/s00521-022-06891-5.pdf
Reference55 articles.
1. Prasad KN, Triveni S, Schanz T, Nagaraj LT (2007) Sample disturbance in soft and sensitive clays: analysis and assessment. Mar Georesour Geotechnol 25(3–4):181–197
2. Di Buò B, Selänpää J, Länsivaara TT, D’Ignazio M (2019) Evaluation of sample quality from different sampling methods in Finnish soft sensitive clays. Can Geotech J 56(8):1154–1168
3. Tran Q-A, Solowski W, Karstunen M, Korkiala-Tanttu L (2017) Modelling of fall-cone tests with strain-rate effects. Procedia Eng 175:293–301
4. Tran Q-A, Sołowski W (2019) Generalized Interpolation Material Point Method modelling of large deformation problems including strain-rate effects–application to penetration and progressive failure problems. Comput Geotech 106:249–265
5. Selänpää J, Di Buò B, Länsivaara T, D’Ignazio M (2017) Problems related to field vane testing in soft soil conditions and improved reliability of measurements using an innovative field vane device. In: Landslides in sensitive clays. Springer, pp 109–119
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