Rayfract seismic refraction1/23/2024 ![]() ![]() The robustness of the model was tested by training the proposed ANN architecture with a published dataset of Lucknow City. Four sites located inside the campus were selected for the preparation of the dataset for training. A new zone-specific parameter was introduced for the model to learn zones having a weak soil layer. ![]() The primary focus of the study is to develop an artificial neural network (ANN) model for quick velocity prediction as well as to explore its capability to detect the weak layer. ![]() The seismic refraction method fails to detect a weak soil (low density) layer due to its working principle (Snell’s law). In order to determine the dynamic properties through wave velocities, the correlation between wave velocity and other properties such as Standard Penetration Test value, bulk density, and depth has been investigated in the present study. ![]()
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