2 publications
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Published Subscription
Soft Computing Based Prediction of Ultimate Bearing Capacity of Footings Resting on Rock MassesBy Rakesh Kumar Dutta, Viswas Nandakishor Khatri, Tammineni Gnananandarao
Abstract: The present study attempts to predict the ultimate bearing capacity of shallow foundations on rock masses using five different soft computing techniques namely i) random forest regression approach, ii) artificial neural networks, iii) support vector machine with polykernel, iv) support vector machine with (radial basis function) RBF kernel and v) M5P model tree. The ultimate bearing capacity was assumed to be dependent rock mass rating, unconfined compressive strength of rock, …
Published in International Journal of Geological and Geotechnical Engineering · Vol. 5, Issue 2, 2019 · pp. 1–14 Read article →
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Published Subscription
Neural network based prediction of shear wave velocity for soilsBy Rakesh Kumar Dutta, Prabhat Kumar, Tammineni Gnananandarao
Abstract: The paper presents a study on the prediction of the shear wave velocity (Vs) for all soils using ANN model from cone penetration test data. The input parameters in the obtained of ANN models were vertical effective stress, sleeve friction, cone tip resistance and output was the shear wave velocity. These parameters were considered to construct the ANN model which has 3-2-1 topology in prediction of shear wave velocity. Further, …
Published in International Journal of Geological and Geotechnical Engineering · Vol. 5, Issue 2, 2019 · pp. 23–34 Read article →