نوع مقاله : علمی - پژوهشی
نویسندگان
1 دانشیار، گروه مهندسی عمران، دانشکده فنی و مهندسی، دانشگاه رازی، کرمانشاه، ایران
2 کارشناسی ارشد، گروه مهندسی عمران، دانشکده فنی و مهندسی، دانشگاه رازی، کرمانشاه، ایران
چکیده
کلیدواژه‌ها
موضوعات
عنوان مقاله [English]
نویسندگان [English]
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.
کلیدواژه‌ها [English]
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