Erbil zeminlerinin geoteknik özelliklerinin CBS ile analizi

The objective of this research is to investigate the geotechnical characteristics of soils in Erbil city using a combination of Geographic Information Systems (GIS) and Artificial Neural Networks (ANNs). The study collected data from 102 boreholes at three different depth levels (1.5 m–3.5 m, 3.5 m–6.5 m and 6.5 m–9.5 m) to analyze soil properties such as fines content, moisture content, soil plasticity, shear strength parameters, compressibility, Standard Penetration Test (SPT), and bearing capacity. GIS was used to visualize and analyze the geotechnical characteristics of the soils. The study showed that the predominant soil type in the study area was silty clay with a small amount of sandy gravel (CL) based on the results analyzed via GIS. Most of the soils in Erbil City had SPT–N values ranging from 33 to 50, indicating denser and stronger soil. The average internal friction angle of the soil layers was found to be 10°, and the predominant cohesion was approximately 100 kPa. The compression index of soils ranged between 0.11 to 0.31. To predict the SPT-N value and bearing capacity of the soil, the research applied ANN techniques based on geotechnical properties and made correlations between SPT values and shear strength parameters with the bearing capacity of the soil. The results showed that the ANN models were able to accurately predict the geotechnical parameters of the soil types in the study area. The use of GIS and ANN techniques allowed for a comprehensive analysis of the geotechnical characteristics of the soils in Erbil, providing valuable information for future construction and development projects. Also, the results of this study can be used to design safe and cost-effective foundations for buildings, bridges, and other infrastructure projects in Erbil City. Overall, this study highlights the importance of combining GIS and ANN techniques to analyze and model the geotechnical characteristics of soils in urban areas. The findings of this research can contribute to the development of sustainable and safe infrastructure projects in Erbil and other cities with similar soil properties. Key Words: Erbil, Geotechnical Characterization, GIS, ANN