1 publication

• 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 →