3 publications

• Published Subscription 11 Apr 2020

  Properties of Bentonite Stabilised with Fluorogypsum

  By Rakesh Kumar Dutta, Mohammad Saqib Bin Lateefa

  Abstract: This paper presents the properties of the bentonite stabilised with fluorogypsum. For this purpose, commercially available bentonite and fluorogypsum were used in this investigation. The fluorogypsum content and the curing period were varied from 0% to 10 % and 0 to 28 days respectively. Compaction tests results reveal that the maximum dry unit weight increases and optimum moisture content decreases with the increase in the fluorogypsum content to the bentonite. …

  Published in International Journal of Geological and Geotechnical Engineering · Vol. 6, Issue 1, 2020 · pp. 43–53 Read article →

• Published Subscription 26 Dec 2019

  Soft Computing Based Prediction of Ultimate Bearing Capacity of Footings Resting on Rock Masses

  By 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 →

• Published Subscription 26 Dec 2019

  Neural network based prediction of shear wave velocity for soils

  By 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 →