A neural network model for diagnosing pile integrity based on reflection wave method
Wang Cheng-hua · Rock and Soil Mechanics · 2003
A neural network model for diagnosing pile integrity based on reflection wave method is suggested. The model predicts the basic features of pile integrity such as its normality and various defects including partially enlargement or reduction in pile diameter, concrete segregation, cracks and breakages in pile stem and so on. The service ability and efficiency of the neural computing are enhanced by implementation of some elaborated operation technologies. The application of the neural network model in the integrity check of dozens of concrete piles, in soft soils in Tianjin region, tested with reflection wave method yielded a fairly high accuracy of prediction.