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- 검색키워드
- 저자 : Hataf, Nader (검색결과 2 건)
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Numerical comparison of bearing capacity of tapered pile groups using 3D FEM
Hataf, Nader,Shafaghat, Amin Techno-Press 2015 Geomechanics & engineering Vol.9 No.5
This study investigates the behavior of group of tapered and cylindrical piles. The bearing capacities of groups of tapered and cylindrical piles are computed and compared. Modeling of group of piles in this study is conducted in sand using three-dimensional finite element software. For this purpose, total bearing capacity of each group is firstly calculated using the load-displacement curve under specific load and common techniques. Then, the model of group of piles is reloaded under this calculated capacity to find group settlements, stress states on the lateral surfaces of group block, efficiency of group and etc. In order to calculate the efficiency of each group, single tapered and cylindrical piles are modeled separately. Comparison for both tapered and cylindrical group of piles with same volume is conducted and a relation to predict tapered pile group efficiency is developed. A parametric study is also performed by changing parameters such as tapered angle, angle of internal friction of sand, dilatancy angle of soil and coefficient of lateral earth pressure to find their influences on single pile and pile group behavior.
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New Method for Predicting the Ultimate Bearing Capacity of Driven Piles by using Flap Number
Fatehnia Milad,Tawfiq Kamal,Hataf Nader,Ozguven Eren Erman 대한토목학회 2015 KSCE JOURNAL OF CIVIL ENGINEERING Vol.19 No.3
A new method was proposed to predict the compressive bearing capacity of driven piles based on the number of hammer strikes inthe last one meter of pile penetration (known here as Flap number). To collect the data, a literature review was done on technicalpublications and pile driving record reports that were accessible to the authors at the time of publication. The data of a hundred drivenpiles including Flap number, basic properties of the surrounding soil, pile geometry, and pile-soil friction angle was collected. Thesedata were initially used in the artificial neural network to establish a relation for predicting pile capacity. Subsequently, by usinggenetic programing and linear regression, equations for determining pile bearing capacity with respect to the Flap number, soilparameters, and pile geometries were proposed. Finally, the performance of all applied methods in predicting the pile bearingcapacity were compared. The utmost importance was given to the comparison of the accuracy of the three models as well as the errorestimation.
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