Forecasting Bearing Capacity, Error Analyses and Parametric Analysis of Circular Footing Seating on the Limited Thick Sand-Layer with Eccentric-Inclined Load

Gnananandarao, Tammineni; Panwar, Vishal; Onyelowe, Kennedy C.; Naik, S. V. Chinna Swami

doi:10.22059/ceij.2024.365671.1966

Forecasting Bearing Capacity, Error Analyses and Parametric Analysis of Circular Footing Seating on the Limited Thick Sand-Layer with Eccentric-Inclined Load

Authors

¹ Civil Engineering Department, Aditya College of Engineering and Technology, Surampalam, Aditya Nagar, 533437, India

² Department of Civil Engineering, National Institute of Technology, Hamirpur, Himachal Pradesh, India

³ Department of Civil Engineering, Michael Okpara University of Agriculture, UmudikeUmuahia 440109, Nigeria

⁴ Department of Civil Engineering, Indian Institute of Technology Roorkee, Uttarakhand, India.

10.22059/ceij.2024.365671.1966

Abstract

Bearing capacity (BC) of the soil is one of the crucial parameters to construct any structure. A consistent soft computing models can reduce the cost and time by swiftly generate the required experimental data. This research presents, M5P model tree and feedforward backpropagation ANN model have used to predict the BC of the circular footing resting on the limited thick sand-layer with eccentric-inclined load. To generate the proposed model, a set of 120 data are gathered from the literature. However, the developed M5P model tree result (coefficient of determination (R2) is 0.96 and 0.96; mean absolute percentage error (MAPE) is 19.83 and 21.46 for training and testing respectively. Whereas, ANN model R2 is 0.98 and 0.97; MAPE is 18.20 and 16.29 for training and testing respectively. Further, model equations are developed to calculate the BC of the circular footing for the both the methods. Finally, sensitivity analysis concludes that the input parameter ratio of depth of the rigid rough base to width of footing (H/B) is the most influencing parameter to predict the desired output.

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