Neural 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 th...
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| Format: | Conference or Workshop Item |
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2013
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| author | Maizir, H. Kassim, Khairul Anuar |
| author_facet | Maizir, H. Kassim, Khairul Anuar |
| author_sort | Maizir, H. |
| collection | ePrints |
| description | 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. P ile Driving Analyzer (PDA) data. A system was develo ped by a computerized intelligent system for predicting the total pile capacity for various pile characteristics and hammer energy. The results show that the neural network models give a good prediction of axial bearing capacity of piles if both stress wave data and properties of both driven pile and driving system are considered in the input data. Verification of the model indica tes that the numbers of data are not always related to the quality of the prediction. |
| first_indexed | 2024-03-05T19:29:28Z |
| format | Conference or Workshop Item |
| id | utm.eprints-51194 |
| institution | Universiti Teknologi Malaysia - ePrints |
| last_indexed | 2024-03-05T19:29:28Z |
| publishDate | 2013 |
| record_format | dspace |
| spelling | utm.eprints-511942017-09-17T08:37:53Z http://eprints.utm.my/51194/ Neural network application in prediction of axial bearing capacity of driven piles Maizir, H. Kassim, Khairul Anuar T Technology 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. P ile Driving Analyzer (PDA) data. A system was develo ped by a computerized intelligent system for predicting the total pile capacity for various pile characteristics and hammer energy. The results show that the neural network models give a good prediction of axial bearing capacity of piles if both stress wave data and properties of both driven pile and driving system are considered in the input data. Verification of the model indica tes that the numbers of data are not always related to the quality of the prediction. 2013 Conference or Workshop Item PeerReviewed Maizir, H. and Kassim, Khairul Anuar (2013) Neural network application in prediction of axial bearing capacity of driven piles. In: Lecture Notes In Engineering And Computer Science. http://www.iaeng.org/publication/IMECS2013/IMECS2013_pp51-55.pdf |
| spellingShingle | T Technology Maizir, H. Kassim, Khairul Anuar Neural network application in prediction of axial bearing capacity of driven piles |
| title | Neural network application in prediction of axial bearing capacity of driven piles |
| title_full | Neural network application in prediction of axial bearing capacity of driven piles |
| title_fullStr | Neural network application in prediction of axial bearing capacity of driven piles |
| title_full_unstemmed | Neural network application in prediction of axial bearing capacity of driven piles |
| title_short | Neural network application in prediction of axial bearing capacity of driven piles |
| title_sort | neural network application in prediction of axial bearing capacity of driven piles |
| topic | T Technology |
| work_keys_str_mv | AT maizirh neuralnetworkapplicationinpredictionofaxialbearingcapacityofdrivenpiles AT kassimkhairulanuar neuralnetworkapplicationinpredictionofaxialbearingcapacityofdrivenpiles |