PARAMETER OPTIMIZATION METHOD AND SYSTEM FOR VIBRATION COMPACTION OF HIGH-SPEED RAIL FILLER

The present invention relates to a parameter optimization method for vibration compaction of a high-speed rail filler, comprising the following steps: (1) fitting dry density in a compaction process by using a hyperbolic model, and calculating and constructing original data; (2) on the basis of obtaining training data, establishing a dry density increment prediction model by using a BP neural network; (3) evaluating the compaction quality by using a compaction degree index, and establishing a compaction degree constraint condition; (4) solving a vibration parameter optimization process on the basis of a GA algorithm, and establishing a GA-based dynamic optimization model; and (5) determining the dynamic optimization result after the parameter optimization processing as an optimal scheme for vibration compaction. The present invention further relates to a parameter optimization system for vibration compaction of a high-speed rail filler using the method. According to the method of the present invention, the pr