A hybrid computational intelligence approach for predicting soil shear strength for urban housing construction: a case study at Vinhomes Imperia project, Hai Phong city (Vietnam)
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications,General Engineering,Modeling and Simulation,Software
Link
http://link.springer.com/article/10.1007/s00366-019-00718-z/fulltext.html
Reference53 articles.
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2. Tien Bui D, Hoang N-D, Nhu V-H (2018) A swarm intelligence-based machine learning approach for predicting soil shear strength for road construction: a case study at Trung Luong National Expressway Project (Vietnam). Eng Comput. https://doi.org/10.1007/s00366-018-0643-1
3. Das BM, Sobhan K (2013) Principles of geotechnical engineering. Cengage Learning, Boston (ISBN-10:1133108660)
4. Nam S, Gutierrez M, Diplas P, Petrie J (2011) Determination of the shear strength of unsaturated soils using the multistage direct shear test. Eng Geol 122(3):272–280. https://doi.org/10.1016/j.enggeo.2011.06.003
5. Rassam DW, Williams DJ (1999) A relationship describing the shear strength of unsaturated soils. Can Geotech J 36(2):363–368. https://doi.org/10.1139/t98-102
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