Rapid detection method for compaction degree of red clay

The invention provides a rapid detection method for the compaction degree of red clay, and belongs to the technical field of road engineering. The detection method comprises the following steps: s1, acquiring load and displacement time history data by using PFWD equipment; s2, establishing a convolutional neural network, wherein the convolutional neural network comprises an input layer, a convolutional layer, a pooling layer, a full connection layer and an output layer. According to the method, the PFWD equipment is utilized, big data and a convolutional neural network algorithm are combined, the soil compaction degree information contained in the dynamic load and displacement time history of the drop weight obtained by the PFWD is fully excavated. The method for quickly and nondestructively obtaining the compaction degree of the red clay by utilizing the PFWD equipment is established, so that the improvement of current specifications and the guidance of engineering construction are facilitated. 本发明提供一种红黏土压实度