关注
Tammineni Gnananandarao
Tammineni Gnananandarao
PhD scholar
在 nith.ac.in 的电子邮件经过验证
标题
引用次数
引用次数
年份
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
312019
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
282018
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
242021
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
232022
Performance of multi-edge skirted footings resting on sand
T Gnananandarao, VN Khatri, RK Dutta
Indian Geotechnical Journal 48, 510-519, 2018
232018
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
222022
Bearing capacity and settlement prediction of multi-edge skirted footings resting on sand
VNKRKD Tammineni Gnananandarao
Ingeniería e Investigación 40 (3), 2020
222020
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
212020
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
182022
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
172019
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
142020
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
142019
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
122019
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
122017
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
72019
Pressure settlement ratio behavior of plus shaped skirted footing on sand
VNKRKD Tammineni Gnananandarao
Journal of Civil Engineering (IEB) 46 (2), 161-170, 2018
62018
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
52023
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
52020
Performance of multi-edge skirted footings resting on sand. Indian Geotech J 48 (3): 510–519
T Gnananandarao, VN Khatri, RK Dutta
52018
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
42023
系统目前无法执行此操作,请稍后再试。
文章 1–20