Rock Mechanics
Anant Saini; Jitendra Singh Yadav
Abstract
The goal of this research work was to use an Artificial Neural Network (ANN) model to predict the ultimate bearing capacity of circular footing resting on recycled construction waste over loose sand. A series of plate load tests were conducted by varying the thickness of two sizes of recycled construction ...
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The goal of this research work was to use an Artificial Neural Network (ANN) model to predict the ultimate bearing capacity of circular footing resting on recycled construction waste over loose sand. A series of plate load tests were conducted by varying the thickness of two sizes of recycled construction waste (5 mm and 10.6 mm) layer (0.4d, 0.6d, 0.8d, 1d, and 1.2d, d: diameter of footing) prepared at different relative densities (30%, 50%, and 70%) overlaying. The ultimate bearing capacity obtained for various combinations was used to develop the ANN model. The input parameters of the ANN model were thickness of recycled construction waste layer to diameter of circular footing ratio, angle of internal friction of sand, unit weight of sand, angle of internal friction of recycled construction waste and unit weight of recycled construction waste, and the model's output parameter was ultimate bearing capacity. The FANN-SIGMOD_SYMMETRIC model with topology 3-2-1 provided a higher estimate of the ultimate bearing capacity of circular footing, according to the ANN findings. The sensitivity analysis also revealed that the unit weight of sand and angle of internal friction of sand had insignificant effects on ultimate bearing capacity. The estimated ultimate bearing capacity was most affected by the angle of internal friction of recycled construction waste. The result of multiple linear regression analysis was not as good as the ANN model at predicting the ultimate bearing capacity.
Surya PRATAP Singh; Amrit Kumar Roy
Abstract
This research work provides a bearing capacity equation for a circular footing placed on dense sand overlying loose sand and subjected to vertical and inclined loading, utilizing the limit equilibrium followed by the projected area approach. For the parametric study, the variables include upper dense ...
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This research work provides a bearing capacity equation for a circular footing placed on dense sand overlying loose sand and subjected to vertical and inclined loading, utilizing the limit equilibrium followed by the projected area approach. For the parametric study, the variables include upper dense sand layer thickness ratio (0.5 to 2.00), friction angle of upper dense sand (41° to 45°) and lower loose sand layer (31° to 35°), and applied load inclination (0° to 30°). The highest and lowest increases in bearing capacity are reported for friction angle combinations of 45°–35° and 41°–31° for various thickness ratios, respectively. For load inclinations of 0°, 10°, 20°, and 30°, bearing capacity is reduced by 43.51%, 72.17%, 85.64%, and 22.62%, 48.56%, 62.17% for friction angles of upper dense and lower loose sand layer combinations of 45° and 35° and at a thickness ratio of 0.5 and 2.0. Considering finite element results, the average deviation of the bearing capacity derived from the suggested equation at surface footing is 7%, 5%, 22%, and 23% for 0°, 10°, 20°, and 30° load inclinations, respectively. The proposed bearing capacity equation yield results that are compared with the available literature, with average deviations of 62%, 50%, 36%, and 36% for load inclination values of 0°, 10°, 20°, and 30°, respectively.
