منابع مشابه
Evaluation of Static and Dynamic Methods for Determining the Bearing Capacity of the Driven Pipe Piles (TECHNICAL NOTE)
Determination of the pile capacity is always a major concern for the safe geotechnical engineering design. Different direct and indirect methods have been proposed for determining pile bearing capacity such as static and dynamic approaches. Each method depends on the condition of the soil and type of pile as well as accessibility to necessary information. In this study bearing capacity of drive...
متن کاملComparision of Methods for Determining Bearing Capacity of Piles Using Standard Penetration Test (SPT) Data
In recent years, determining bearing capacity of piles from in-situ testing data as a complement to static and dynamic analysis has been used by geotechnical engineers. In this paper, different approaches for estimating bearing capacity of piles from SPT data are studied and compared. A new method based on N value from SPT is presented. Data averaging, failure zone and plunging failure of pil...
متن کاملComparision of Methods for Determining Bearing Capacity of Piles Using Standard Penetration Test (SPT) Data
In recent years, determining bearing capacity of piles from in-situ testing data as a complement to static and dynamic analysis has been used by geotechnical engineers. In this paper, different approaches for estimating bearing capacity of piles from SPT data are studied and compared. A new method based on N value from SPT is presented. Data averaging, 
failure zone and plunging failure of p...
متن کاملDIFFERENT NEURAL NETWORKS AND MODAL TREE METHOD FOR PREDICTING ULTIMATE BEARING CAPACITY OF PILES
The prediction of the ultimate bearing capacity of the pile under axial load is one of the important issues for many researches in the field of geotechnical engineering. In recent years, the use of computational intelligence techniques such as different methods of artificial neural network has been developed in terms of physical and numerical modeling aspects. In this study, a database of 100 p...
متن کاملNeural Network Application in Prediction of Axial Bearing Capacity of Driven Piles
This paper presents the application of the Artificial Neural Network (ANN) for prediction of axial capacity of a driven pile by adopting data collected from several projects in Indonesia and Malaysia. As many as 300 data were selected for this study. In this study, ANN was set and trained to predict the axial bearing capacity from high strain dynamic testing, i.e. Pile Driving Analyzer (PDA) da...
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ژورنال
عنوان ژورنال: IOP Conference Series: Materials Science and Engineering
سال: 2019
ISSN: 1757-899X
DOI: 10.1088/1757-899x/698/2/022057