| contributor author | Chen, Yit-Jin | |
| contributor author | Wang, Kai | |
| contributor author | Phoon, Kok-Kwang | |
| contributor author | Guo, Matthew | |
| contributor author | Jos, Mary Abigail | |
| date accessioned | 2026-08-20T21:23:30Z | |
| date available | 2026-08-20T21:23:30Z | |
| date copyright | 2026/02/11 | |
| date issued | 2026 | |
| identifier other | AJRUA6.RUENG-1737.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4314375 | |
| description abstract | AbstractThis study evaluated the performance of artificial neural network (ANN) in determining
pre-bored precast concrete (PC) pile capacities, utilizing a database of 39 drained
pile load tests under axial compression. The ANN model developed in this ...Practical ApplicationsPre-bored precast concrete (PC) piles are increasingly used in design and construction,
especially in urban areas where minimizing noise and vibration during construction
is important. A major challenge for engineers is determining ... | |
| publisher | American Society of Civil Engineers | |
| title | Pre-Bored PC Pile Capacity Prediction in Drained Soils Using Artificial Neural Network | |
| type | Journal Article | |
| journal volume | 12 | |
| journal issue | 2 | |
| journal title | ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering | |
| identifier doi | 10.1061/AJRUA6.RUENG-1737 | |
| journal fristpage | 04026007-1 | |
| journal lastpage | 04026007-26 | |
| page | 26 | |
| tree | ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering:;2026:;Volume ( 012 ):;issue: 002 | |
| contenttype | Fulltext | |