Prediction of shear wave velocity and soil type of the region with recorded accelerometer in Iran plateau using vertical and horizontal seismic components spectral ratios

Earthquake is a destructive and unpredictable phenomenon that causes a lot of human and financial losses. An overall assessment of the damage to structures and facilities due to earthquakes shows that site conditions have had a significant impact on the distributions of damage. Therefore, identifying the effect of site and soil type in the design and construction of earthquake resistant structures is essential.Due to the fact that soil type has not been determined in many regions of the Iranian plateau, in this study, A relation is presented to determine the shear wave velocity using Horizontal-to-vertical spectrum ratio method (H/V) and the Gene expression programming (GEP).In this study, a suite of 480 records is used. Input factors in this research are moment magnitude, site to source distance, Horizontal-to-vertical spectrum ratio and the time of the maximum amount of H/V ratio. After preparing the input values from the earthquake catalog, finally, GEP method is used to obtain the prediction relationship. The advantage of this algorithm is that a fixed regression model is not used and the model is calculated intelligently. Finally, the results show that the model has a fitness of 911.57 and the shear wave velocity values provided by the relation correspond to 73% with the actual values.