A　rockburst　is　a　common　disaster　in　deep-tunnel　excavation　engineering,　especially　for　high-geostress　areas.　An　anomalously　low　friction　effect　is　one　of　the　most　important　inducements　of　rockbursts.　To　elucidate　the　correlation　between　an　anomalously　low　friction　effect　and　a　rockburst,　we　establish　a　two-dimensional　prediction　model　that　considers　the　discontinuous　structure　of　a　rock　mass.　The　degree　of　freedom　of　the　rotation　angle　is　introduced,　thus　the　motion　equations　of　the　blocks　under　the　influence　of　a　transient　disturbing　force　are　acquired　according　to　the　interactions　of　the　blocks.　Based　on　the　two-dimensional　discontinuous　block　model　of　deep　rock　mass,　a　rockburst　prediction　model　is　established,　and　the　initiation　process　of　ultra-low　friction　rockburst　is　analyzed.　In　addition,　the　intensity　of　a　rockburst,　including　the　location,　depth,　area,　and　velocity　of　ejection　fragments,　can　be　determined　quantitatively　using　the　proposed　prediction　model.　Then,　through　a　specific　example,　the　effects　of　geomechanical　parameters　such　as　the　different　principal　stress　ratios,　the　material　properties,　a　dip　of　principal　stress　on　the　occurrence　form　and　range　of　rockburst　are　analyzed.　The　results　indicate　that　under　dynamic　disturbance,　stress　variation　on　the　structural　surface　in　a　deep　rock　mass　may　directly　give　rise　to　a　rockburst.　The　formation　of　rockburst　is　characterized　by　three　stages:　the　appearance　of　cracks　that　result　from　the　tension　or　compression　failure　of　the　deformation　block,　the　transformation　of　strain　energy　of　rock　blocks　to　kinetic　energy,　and　the　ejection　of　some　of　the　free　blocks　from　the　surrounding　rock　mass.　Finally,　the　two-dimensional　rockburst　prediction　model　is　applied　to　the　construction　drainage　tunnel　project　of　Jinping　II　hydropower　station.　Through　the　comparison　with　the　field　measured　rockburst　data　and　UDEC　simulation　results,　it　shows　that　the　model　in　this　paper　is　in　good　agreement　with　the　actual　working　conditions,　which　verifies　the　accuracy　of　the　model　in　this　paper.　©　2022　Techno-Press,　Ltd.