| Pile foundation is one of the oldest foundation patterns in civil engineering. With vigorous development of construction industry in our country, Pile foundation plays a more and more important role during the construction process. However, engineering problems which are caused by the low quality of Pile foundation have already influence the safety of the upper structure of the building. For instance, the problems like concrete pile of neck shrank, segregation and fracture, might decrease the capacity of the pile foundation. Therefore, how to test the quality of pile foundation in a convenient, accurate and efficient way has already become a hot topic and been highly concerned among the engineering filed.Now days, Low Strain Reflection Wave Method has become one of the most popular methods to measure the integrity of pile foundation, since its advantages of convenient, quick and low cost. However, deep theory and large amount of experience is also needed because of the inner complicated effects between the soil and timber, as well as the limitation of LSRWM. This means LSRWM put forward a higher request of construction personnel,This research focus on the development and application of testing method both in China and board, First of all, there will be a brief depreciation of the low strain reflected wave method, Completeness inspection methods and the influence factors of test signals. After that, this paper will introduce the BP neural network technology into the process of classify and analysis the inspection data. Through the software of Matlab, Modeling and Training the tasting date by using BP Nepal network and then building the judge classification model of integrity of pile foundation. This method is successful in forecasting and discriminating the integrity of pile foundation. Hope the reader can get a better understanding of the application value of this method in the practical construction. |
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