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author:

Wang, Zhan-Liang (Wang, Zhan-Liang.) [1] | Chen, Hao-Biao (Chen, Hao-Biao.) [2] | Chen, Fu-Quan (Chen, Fu-Quan.) [3] | Liu, Li-Yang (Liu, Li-Yang.) [4]

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Abstract:

Estimations of the undrained shear strength (Su) and overconsolition ratio (OCR) of cohesive soil are essential for the evaluation of geology investigation. In comparison to time-consuming laboratory tests, the field piezocone penetration test (CPTu) can rapidly evaluate these parameters. However, existing studies have mainly relied on empirical correlations to estimate the undrained shear strength Su and OCR from CPTu measurements. These correlations are mainly empirical, involving fixed coefficients multiplied by CPTu measurement. Based on the coupled Eulerian-Lagrangian method, this study employed large deformation finite element modeling to summarize and extend the relationships between CPTu measurement and the estimation of undrained shear strength Su and OCR in cohesive soils. These relationships allow for predictions based on CPTu measurements without the requirement for laboratory calibration or referencing to field benchmarks. The accuracy and applicability of the proposed prediction formulas are validated through field case studies for comparative analysis. © 2024 Elsevier Ltd

Keyword:

Finite element method Lagrange multipliers Shear strength Soils

Community:

  • [ 1 ] [Wang, Zhan-Liang]College of Civil Engineering, Fujian University of Technology, No.69 Xuefunnan Road, University Town, Fuzhou; 350118, China
  • [ 2 ] [Chen, Hao-Biao]College of Civil Engineering, Fuzhou University, No.2 Xueyuan Road, Fuzhou; 350116, China
  • [ 3 ] [Chen, Hao-Biao]Department of Civil Engineering, Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai; 200240, China
  • [ 4 ] [Chen, Fu-Quan]College of Civil Engineering, Fuzhou University, No.2 Xueyuan Road, Fuzhou; 350116, China
  • [ 5 ] [Liu, Li-Yang]College of Civil Engineering, Fuzhou University, No.2 Xueyuan Road, Fuzhou; 350116, China

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Source :

Applied Ocean Research

ISSN: 0141-1187

Year: 2024

Volume: 146

4 . 3 0 0

JCR@2023

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ESI Highly Cited Papers on the List: 0 Unfold All

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30 Days PV: 0

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