Identification of Soil Strata Based on General Regression Neural Network Model From CPTU Data

Author:

Cai Guojun,Liu Songyu,Puppala Anand J.,Tong Liyuan

Funder

This research was supported by the National Natural Science Foundation of China (Grant No. 41202203), the “Twelfth Five-Year” National Science and Technology Support Plan (Grant No. 2012BAJ01B02), the Foundation for the New Century Excellent Talents of China (NCET-13-0118), the Foundation of Jiangsu Province Outstanding Youth (Grant No. BK20140027), the Foundation for the Author of National Excellent Doctoral Dissertation of PR China (Grant No. 201353), Jiangsu Traffic Science Research Project (Grant No. 2013Y04), and the Fundamental Research Funds for the Central Universities (Grant No. 2242013R30014). The first author received financial support from the China Scholarship Council to attend the University of Texas at Arlington as a visiting 575 research scholar under the guidance of Dr. Anand J. Puppala.

Publisher

Informa UK Limited

Subject

Ocean Engineering,Geotechnical Engineering and Engineering Geology,Oceanography

Reference38 articles.

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2. ASTM. 2006. Standard practice for classification of soils for engineering purposes (unified soil classification system). D2487–06.ASTM Book of Standards.West Conshohocken, PA: Author.

3. Field evaluation of deformation characteristics of a lacustrine clay deposit using seismic piezocone tests

4. Evaluation of Pile Bearing Capacity from Piezocone Penetration Test Data in Soft Jiangsu Quaternary Clay Deposits

5. Comparison of CPT charts for soil classification using PCPT data: Example from clay deposits in Jiangsu Province, China

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