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Original Articles

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

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Pages 229-238 | Received 08 Jan 2013, Accepted 19 Aug 2013, Published online: 25 Nov 2014

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Hualei Feng, Xuening Liu, Guojun Cai & Wei Duan. (2023) Applicability and improvement of soil classification methods in Delta regions based on the CPTU database. Marine Georesources & Geotechnology 41:11, pages 1265-1274.
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Mohammed Amin Benbouras, Ratiba Kettab Mitiche, Hamma Zedira, Alexandru-Ionut Petrisor, Nourredine Mezouar & Fatiha Debiche. (2019) A new approach to predict the compression index using artificial intelligence methods. Marine Georesources & Geotechnology 37:6, pages 704-720.
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A. Eslami, M. Alimirzaei, E. Aflaki & H. Molaabasi. (2017) Deltaic soil behavior classification using CPTu records—Proposed approach and applied to fifty-four case histories. Marine Georesources & Geotechnology 35:1, pages 62-79.
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Articles from other publishers (12)

K.S. Yin, L.M. Zhang, C.S. Poon, W.G. Zhang, H.Y. Luo & R.W.M. Cheung. (2023) Disturbance to adjacent marine deposit by offshore DCM construction. Ocean Engineering 289, pages 116305.
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Lin-Shuang Zhao, Shuaihe Zhuo & Bingqing Shen. (2023) An efficient model to estimate the soil profile and stratigraphic uncertainty quantification. Engineering Geology 315, pages 107025.
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Abolfazl Eslami, Sara Heidarie Golafzani & Mohammad Hossein Naghibi. (2023) Developed triangular charts; deltaic CPTu-based soil behavior classification using AUT:CPTu-Geo-Marine Database. Probabilistic Engineering Mechanics 71, pages 103380.
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Denilson José Ribeiro Sodré. (2022) Cone penetration index for soil behaviour type prediction. Scientific Reports 12:1.
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Yong-hong Miao, Shu-yang Wei, Jie Yin, Ping-ping Zuo & Lei Wang. (2022) Identification of soil layers using probabilistic collaborative representation–based classification with CPTu data. Arabian Journal of Geosciences 15:23.
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Wei Duan, Surya Sarat Chandra Congress, Guojun Cai, Anand J. Puppala, Xiaoqiang Dong & Yu Du. (2021) Empirical correlations of soil parameters based on piezocone penetration tests (CPTU) for Hong Kong-Zhuhai-Macau Bridge (HZMB) project. Transportation Geotechnics 30, pages 100605.
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Jie Yin, Leslie Opoku, Yong-hong Miao, Ping-ping Zuo, Yang Yang & Jian-fei Lu. (2021) An improved site characterization method based on interval type-2 fuzzy C-means clustering of CPTu data. Arabian Journal of Geosciences 14:14.
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K.S. YinL.M. ZhangH.J. WangH.F. ZouJ.H. Li. (2021) Marine soil behaviour classification using piezocone penetration test (CPTu) and borehole records. Canadian Geotechnical Journal 58:2, pages 190-199.
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Mohammed Amin Benbouras & Alexandru-Ionut Petrisor. (2021) Prediction of Swelling Index Using Advanced Machine Learning Techniques for Cohesive Soils. Applied Sciences 11:2, pages 536.
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Abolfazl Eslami, Sara Moshfeghi, Hossein MolaAbasi & Mohammad M. Eslami. 2020. Piezocone and Cone Penetration Test (CPTu and CPT) Applications in Foundation Engineering. Piezocone and Cone Penetration Test (CPTu and CPT) Applications in Foundation Engineering 111 144 .
Wei Duan, Guojun Cai, Songyu Liu, Yu Du, Liuwen Zhu & Anand J. Puppala. (2018) SPT–CPTU Correlations and Liquefaction Evaluation for the Island and Tunnel Project of the Hong Kong–Zhuhai–Macao Bridge. International Journal of Civil Engineering 16:10, pages 1423-1434.
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Hanliang Bian, Songyu Liu, Guojun Cai & Ling Tian. (2015) Artificial neural network model for predicting soil electrical resistivity. Journal of Intelligent & Fuzzy Systems 29:5, pages 1751-1759.
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