An Optimized Artificial Neural Network Structure to Predict Clay Sensitivity in a High Landslide Prone Area Using Piezocone Penetration Test (CPTu) Data: A Case Study in Southwest of Sweden

Author:

Abbaszadeh Shahri Abbas

Publisher

Springer Science and Business Media LLC

Subject

Geology,Soil Science,Geotechnical Engineering and Engineering Geology,Architecture

Reference89 articles.

1. Aas G, Lacasse S, Lunne T, Hoeg K (1986) Use of in situ tests for foundation design on clay. Use of in situ tests in geotechnical engineering (GSP 6). ASCE, New York, pp 1–30

2. Åhnberg H, Larsson R (2012) Strength degradation of clay due to cyclic loadings and enforced deformation. Report No 75, Swedish Geotechnical Institute (SGI), Linköping, Sweden

3. Anagnostopoulosi A, Koukis G, Sabatakakis N, Tsliambaos G (2003) Empirical correlations of soil parameters based on Cone Penetration Tests (CPT) for Greek soils. Geotech Geol Eng 21:377–387

4. Baligh MM, Vivatrat V, Ladd CC (1980) Cone penetration in soil profiling. J Geotech Eng 112(7):727–745

5. Bar-Yam Y (1997) Dynamics of complex systems. Addison-Wesley, Boston

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