Application of Gaussian Process Regression and Least-Square Support Vector Machine to the Soil-Structure Interaction of Multi-storey Buildings on Raft Foundation Using SAP2000

There are many parameters, which affect the dynamic response of structures, such as the type of structure, type of foundation, soil characteristics, etc. In this paper, soil-structure interaction in the analysis and design of reinforced concrete framed buildings has been investigated using SAP2000 vs16. Base shear, bending moment, deflection and natural period of multi-storey buildings with raft foundations, having different height to width ratios, resting on different types of soils, and subjected to a seismic ground motion were studied using Gaussian process regression (GPR) and least-square support vector machine (LSSVM). The ground motions were selected from the data of the Bhuj earthquake of 2001. A comparison of the performance of the GPR model and LSSVM model has been done based on Probability Distribution Function (PDF) and Cumulative Distribution Function (CDF).The results showed that the developed bending moment model was found more efficient compared to base shear and deflection models.