This application discloses a method and apparatus for predicting the dynamic migration of coarse aggregates during the compaction process of
asphalt mixtures, relating to the technical field of predicting the dynamic migration of coarse aggregates in
asphalt mixtures for
road engineering. The method includes: collecting the morphological characteristics of real coarse aggregates to generate a 3D aggregate model containing complex morphological features; establishing a rotary compaction model of
asphalt mixtures based on the 3D aggregate model, and selecting multiple typical compaction states to represent the compaction process; determining the
coordination number information of each coarse aggregate under each typical compaction state; based on the
coordination number information, statistically analyzing the
coordination number distribution of coarse aggregates in the initial compaction state, calculating the transition probability of aggregate coordination numbers between adjacent typical compaction states, constructing a multi-step transition matrix, and establishing a prediction model for the dynamic migration of coarse aggregate coordination numbers based on a
Markov chain based on the multi-step transition matrix. This predicts the evaluation index of the skeleton structure during the compaction process, which can more accurately and reasonably describe the dynamic migration of coarse aggregates during compaction.