Reliability prediction of the axial ultimate bearing capacity of piles: A hierarchical Bayesian method
نویسندگان
چکیده
منابع مشابه
DIFFERENT 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...
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bearing capacity prediction of axially loaded piles is one of the most important problems in geotechnical engineering practices, with a wide variety range of methods which have been introduced to forecast it accurately. machine learning methods have been reported by many contemporary researches with some degree of success in modeling geotechnical phenomena. in this study, a fairly new machine l...
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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: Advances in Mechanical Engineering
سال: 2018
ISSN: 1687-8140,1687-8140
DOI: 10.1177/1687814018811054