Journal of Structural and Construction Engineering

Journal of Structural and Construction Engineering

Correlation of soil shear strength parameters and geotechnical characteristics (Case study: Kermanshah city)

Document Type : Original Article

Authors
1 Assistant Professor of Civil Engineering, Faculty of Engineering, Razi University of Kermanshah, Iran
2 Ph.D. candidate, Department of Civil Engineering, Razi University, Kermanshah, Iran
Abstract
Obtaining the soil shear strength parameters is necessary to know the site and at the same time costly and time-consuming. In this study, data from 129 geotechnical boreholes in Kermanshah was collected and classified. Utilizing the group method of data handling (GMDH) and a variety of inputs, models were constructed. The correlation between shear strength parameters (friction angle and cohesion) with SPT-N and geotechnical characteristics (such as fine particles and water content) was established. Predicted values for friction angle (RMSE=2.822) and cohesion (RMSE=4.161) were calculated with an approximation of ±20% and ±6 kilopascals, respectively. Comparisons with other researchers demonstrated the superior performance of the correlations, possibly attributed to variations in input parameters, the use of neural networks, and the focus on a specific study area. These correlations provide a valuable tool for estimating shear strength parameters in Kermanshah soil, enhancing their applicability in geotechnical designs. The study suggests that incorporating non-linear relationships with multiple input parameters reduces correlation errors, and limiting the study area improves correlation performance due to sediment variations in each region. The use of the prediction models presented in this study can be useful depending on the circumstances, especially in cases where it is difficult to prepare a sample, or in the early stages of the project for initial evaluations.
Keywords

Subjects


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Volume 11, Issue 7 - Serial Number 84
October 2024
Pages 151-169

  • Receive Date 06 November 2022
  • Revise Date 06 January 2024
  • Accept Date 01 February 2024