High belite cement (HBC) concrete is increasingly applied to the hydraulic projects, where much attention should be paid to the abrasion performance. In this paper, the mass loss, abrasion rate and morphology indexes such as depth of abrasion, volume loss and fractal dimension of HBC-based concrete at different wear periods were determined through underwater method. Moreover, a new method by transforming the survey area of worn surface was put forward to simulating practical erosion conditions, based on which, the abrasion performance prediction model was built by Projection Pursuit Regression (PPR) theory. Results show that the compounding addition of 30% mineral admixtures had little contribution to the abrasion resistance of HBC concrete after being long-term cured, while reducing water-binder (w/b) ratios was still an effective way for improving that. The worn surface of concrete specimens was divided into three regions for abrade zone, transitional zone and sound zone, and the abrasion evolution was found to be related to the wear duration and space position. Furthermore, there were good correlations between mass loss rate, depth of abrasion, volume loss and fractal dimension, and the fitting formulas were also proposed with good coefficients. Eventually, the PPR model based on the data of transformed survey area was proved to be a promising approach for predicting the abrasion performance.