In recent years, extreme heavy rainfall events occurred frequently, and urban waterlogging disasters became increasingly severe, which have seriously threatened the lives and property of urban residents, resulting in significant social and economic losses. Accurate modeling of urban waterlogging evolution under extreme rainfall situations is the premise of assessing and controlling the waterlogging disaster risk; however, accurately simulating the progression of floodwater faces certain challenges. To this end, a district in a city of Jiangxi Province is selected as the case study, and the coupling model of MIKE URBAN and MIKE 21 is constructed at MIKE FLOOD platform for the analysis. With this coupling model, the evolution processes of urban waterlogging under a typical historical rainfall event and extreme rainfall scenarios (10 a and 20 a) in the study area are simulated respectively. Then, the variations of drainage capacity of pipe network, maximum inundation depth and water depth at vulnerable waterlogging points are analyzed, and the effectiveness of the proposed model is verified by field waterlogging data. The results show that MIKE FLOOD platform can simulate the urban waterlogging evolution with high efficiency and reliable prediction results. In the study area, the proportions of the drainage capacity of the drainage pipe network for less than 10 a, 10-20 a and more than 20 a return periods are 77.3%, 2.1% and 20.6%, respectively. Most water depths are less than 0.15 m, and there are six vulnerable waterlogging points reaching the severe level with the maximum water depth more than 1 m. The water accumulation depths at the waterlogging points rapidly increase to the maximum depth, and then slowly decrease and remain stable. The maximum water accumulation depths at vulnerable waterlogging points gradually increase with the increase of rainfall intensity. The research results can provide references for flood evolution simulation, disaster prevention and sponge city construction in other cities facing the problem of urban waterlogging.