Application of artificial neural network to predict the settlement of shallow foundations on cohesionless soils T Gnananandarao, RK Dutta, VN Khatri Geotechnical Applications: IGC 2016 Volume 4, 51-58, 2019 | 31 | 2019 |
Prediction of ultimate bearing capacity of skirted footing resting on sand using artificial neural networks RK Dutta, R Rani, T Gnananandarao Journal of Soft Computing in Civil Engineering 2 (4), 34-46, 2018 | 28 | 2018 |
Sensitivity analysis and prediction of erodibility of treated unsaturated soil modified with nanostructured fines of quarry dust using novel artificial neural network KC Onyelowe, T Gnananandarao, C Nwa-David Nanotechnology for Environmental Engineering 6, 1-11, 2021 | 24 | 2021 |
Estimation of the erodibility of treated unsaturated lateritic soil using support vector machine-polynomial and-radial basis function and random forest regression techniques KC Onyelowe, T Gnananandarao, AM Ebid Cleaner Materials 3, 100039, 2022 | 23 | 2022 |
Performance of multi-edge skirted footings resting on sand T Gnananandarao, VN Khatri, RK Dutta Indian Geotechnical Journal 48, 510-519, 2018 | 23 | 2018 |
Evaluating the compressive strength of recycled aggregate concrete using novel artificial neural network KC Onyelowe, T Gnananandarao, AM Ebid, HA Mahdi, MR Ghadikolaee, ... Civil Engineering Journal 8 (8), 1679-1693, 2022 | 22 | 2022 |
Bearing capacity and settlement prediction of multi-edge skirted footings resting on sand VNKRKD Tammineni Gnananandarao Ingeniería e Investigación 40 (3), 2020 | 22 | 2020 |
Model studies of plus and double box shaped skirted footings resting on sand T Gnananandarao, RK Dutta, VN Khatri International Journal of Geo-Engineering 11, 1-17, 2020 | 21 | 2020 |
Numerical study on the uplift capacity of under-reamed piles in clay with linearly increasing cohesion VN Khatri, A Kumar, SK Gupta, RK Dutta, T Gnananandarao International journal of geotechnical engineering 16 (4), 438-449, 2022 | 18 | 2022 |
Application of random forest regression in the prediction of ultimate bearing capacity of strip footing resting on dense sand overlying loose sand deposit RK Dutta, T Gnananandarao, A Sharma Journal of Soft Computing in Civil Engineering 3 (4), 28-40, 2019 | 17 | 2019 |
Prediction of bearing capacity of H shaped skirted footings on sand using soft computing techniques VNKRKD Tammineni Gnananandarao Archives of Materials Science and Engineering 103 (2), 62-74, 2020 | 14 | 2020 |
Prediction of free swell index for the expansive soil using artificial neural networks RK Dutta, A Singh, T Gnananandarao Journal of Soft Computing in Civil Engineering 3 (1), 47-62, 2019 | 14 | 2019 |
Application of soft computing techniques in predicting the ultimate bearing capacity of strip footing subjected to eccentric inclined load and resting on sand RK Dutta, T Gnananandarao, VN Khatri Journal of Soft Computing in Civil Engineering 3 (2), 30-42, 2019 | 12 | 2019 |
Artificial Neural Networks Based Bearing Capacity Prediction for Square Footing Resting on Confined Sand T Gnananandarao, RK Dutta, VN Khatri Indian Geotechnical Conference 2017 GeoNEst at IIT Guwahati, 2017 | 12 | 2017 |
Soft computing based prediction of ultimate bearing capacity of footings resting on rock masses RK Dutta, VN Khatri, T Gnananandarao International Journal of Geological and Geotechnical Engineering 5 (2), 1-14, 2019 | 7 | 2019 |
Pressure settlement ratio behavior of plus shaped skirted footing on sand VNKRKD Tammineni Gnananandarao Journal of Civil Engineering (IEB) 46 (2), 161-170, 2018 | 6 | 2018 |
Performance of T-shaped skirted footings resting on sand T Gnananandarao, KC Onyelowe, VN Khatri, RK Dutta International Journal of Mining and Geo-Engineering 57 (1), 65-71, 2023 | 5 | 2023 |
Soft computing based prediction of friction angle of clay RK Dutta, T Gnananandarao, S Ladol Archives of Materials Science and Engineering 104 (2), 58-68, 2020 | 5 | 2020 |
Performance of multi-edge skirted footings resting on sand. Indian Geotech J 48 (3): 510–519 T Gnananandarao, VN Khatri, RK Dutta | 5 | 2018 |
Experience in using sensitivity analysis and ANN for predicting the reinforced stone columns’ bearing capacity sited in soft clays T Gnananandarao, KC Onyelowe, KSR Murthy Artificial intelligence and machine learning in smart city planning, 231-241, 2023 | 4 | 2023 |