Bench blasting effect evaluation is an important link in the process of blasting production,which directly affects the efficiency of subsequent construction.In order to understand the effect of bench blasting,the grey clustering evaluation model was established and optimized by using the trigonometric whiten weight function of mixed center point.According to the characteristics of bench blasting,the boulder rate,loosening coefficient,root ratio,back crack distance,vibration velocity and flying distance were selected as the evaluation indices affecting bench blasting effect.Combining the analytic hierarchy process and the CRITIC method,subjective weights and objective weights of the evaluation indices were assigned respectively,which overcomed the subjectivity of traditional index weight assignment and the sensitivity of data difference.An optimal combination weighting method based on the sum of squares of deviations was proposed,and the optimal combination weighting grey clustering evaluation model for bench blasting effect evaluation was established.The effectiveness and practicability of the model were tested by four deep hole bench blasts of Hongshuitai earthwork leveling project.In addition,the evaluation grade of bench blasting effect was analyzed,and hole-by-hole blasting with a spacing of 3.5 m was determined as the optimal bench blasting scheme.