A Study on Controlling the Quality of Filled Soil-Stone Compaction

There are many disadvantages of the traditional methods in quality control of filled soil-stone compaction, such as the high cost, inefficiency, impact of construction and so on. So it is one of the important problems which should be settled urgently to develop some new detection technologies which bring about high precision, quick and non-destructive methods. The basic principle and application results of portable falling weight deflectometer (PFWD) are analyzed firstly. Based on dynamics eigenvalues(dynamic parameters) of PFWD and artificial intelligence technology, the density and moisture content of filled soil-stone is attempted to be back-calculated by back-propagation (BP) neural networks prediction model between dynamic parameters of PFWD and compactness of filled soil-stone. The application results show that back-calculation the density and moisture content of filled soil-stone is a quick and accurate method, which provides a successful solution to the key technological problems of earth-rock dam construction quality control.