Numerical analysis of evaluation of static and seismic bearing capacity of foundations on rock masses

2021 ◽  
Vol 6 (4) ◽  
Author(s):  
Mehdi Shirzad ◽  
Majid Nikkhah
Keyword(s):  
Numerical Analysis ◽  
Bearing Capacity ◽  
Rock Masses ◽  
Seismic Bearing Capacity

Seismic bearing capacity of shallow foundations resting on rock masses subjected to seismic loads

2015 ◽  
Vol 20 (1) ◽  
pp. 216-228 ◽  
Author(s):  
Xiao-Ping Zhou ◽  
Xin-Bao Gu ◽  
Mao-Hong Yu ◽  
Qi-Hu Qian
Keyword(s):  
Bearing Capacity ◽  
Shallow Foundations ◽  
Seismic Loads ◽  
Rock Masses ◽  
Seismic Bearing Capacity

scholarly journals Numerical Analysis of Bearing Capacity of a Ring Footing on Geogrid Reinforced Sand

Buildings ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 68
Author(s):  
Haidar Hosamo ◽  
Iyad Sliteen ◽  
Songxiong Ding
Keyword(s):  
Numerical Analysis ◽  
Bearing Capacity ◽  
Double Layer ◽  
Practical Importance ◽  
Single Layer ◽  
Outer Diameter ◽  
Storage Container ◽  
Reinforced Sand ◽  
Oil Storage ◽  
Ring Footing

A ring footing is found to be of practical importance in supporting symmetrical constructions for example silos, oil storage container etc. In the present paper, numerical analysis was carried out with explicit code FLAC3D 7.0 to investigate bearing capacity of a ring footing on geogrid reinforced sand. Effects of the ratio n of its inner/outer diameter (Di/D) of a ring footing, an optimum depth to lay the geogrid layer were examined. It was found that an intersection zone was developed in soil under inner-side (aisle) of ring footing, contributing to its bearing capacity. Substantial increase of bearing capacities could be realized if ratio n of a ring footing was around 0.6. Numerical results also showed that, bearing capacity of a ring footing could increase significantly if a single-layer geogrid was laid at a proper depth under the footing. Similar contribution was found if a double-layer geogrid was implemented. However, such increases appeared to be rather limited if a triple-layer geogrid or a four-layer geogrid was used. A double-layer geogrid was recommended to increase the bearing capacity of a ring footing; the depth to lay this double-layer geogrid was also discussed.

scholarly journals Application of Artificial Neural Networks for Predicting the Bearing Capacity of Shallow Foundations on Rock Masses

2021 ◽  
Author(s):  
M. A. Millán ◽  
R. Galindo ◽  
A. Alencar
Keyword(s):  
Bearing Capacity ◽  
Analytical Solutions ◽  
Shear Failure ◽  
Numerical Models ◽  
Computational Effort ◽  
Shallow Foundations ◽  
Geological Strength Index ◽  
Rock Masses ◽  
Ann Model ◽  
Artificial Neural

AbstractCalculation of the bearing capacity of shallow foundations on rock masses is usually addressed either using empirical equations, analytical solutions, or numerical models. While the empirical laws are limited to the particular conditions and local geology of the data and the application of analytical solutions is complex and limited by its simplified assumptions, numerical models offer a reliable solution for the task but require more computational effort. This research presents an artificial neural network (ANN) solution to predict the bearing capacity due to general shear failure more simply and straightforwardly, obtained from FLAC numerical calculations based on the Hoek and Brown criterion, reproducing more realistic configurations than those offered by empirical or analytical solutions. The inputs included in the proposed ANN are rock type, uniaxial compressive strength, geological strength index, foundation width, dilatancy, bidimensional or axisymmetric problem, the roughness of the foundation-rock contact, and consideration or not of the self-weight of the rock mass. The predictions from the ANN model are in very good agreement with the numerical results, proving that it can be successfully employed to provide a very accurate assessment of the bearing capacity in a simpler and more accessible way than the existing methods.

scholarly journals Seismic Bearing Capacity Failure of Berms

2014 ◽  
Vol 79 ◽  
pp. 495-499 ◽  
Author(s):  
Tse-Shan Hsu ◽  
Ya Ching Huang ◽  
Stephen Hsu
Keyword(s):  
Bearing Capacity ◽  
Seismic Bearing Capacity
Sign in / Sign up

Export Citation Format

Share Document