In　order　to　evaluate　the　tunneling　performance　of　full-face　tunnel　boring　machine(TBM)　in　complex　rock　environments,　a　full-face　TBM　tunneling　prediction　model　based　on　numerical　simulation　was　proposed.　Firstly,　the　4D-LSM　and　DDA　coupled　model　was　used　to　numerically　reproduce　the　TBM　tunneling　tests　of　engineering-scale　intact　rock　mass　and　jointed　rock　mass.　The　mechanical　response　of　the　cutterhead　and　the　failure　characteristics　of　the　rock　mass　during　the　tunneling　process　of　the　full-face　TBM　were　analyzed.　Secondly,　the　effects　of　joint　spacing,　joint　orientation,　uniaxial　compressive　strength　and　brittleness　index　on　the　boreability　index　were　investigated.　Finally,　a　single　neuron　was　introduced　to　revise　the　numerical　simulation　prediction　model.　The　comparative　analysis　was　conducted　with　rock　mass　characteristic　model,　which　verified　the　applicability　of　the　full-face　TBM　tunneling　prediction　model　based　on　numerical　simulation.　The　results　show　that　the　tunneling　efficiency　of　TBM　is　higher　in　rock　mass　with　low　strength,　high　brittleness　and　developed　joints.　The　angle　between　joints　and　the　tunneling　direction　of　TBM　is　60°　to　75°,　which　is　most　conducive　to　the　operation　of　TBM.　TBM　tunneling　performance　prediction　model　based　on　numerical　simulation　provides　an　economical　and　flexible　method　for　evaluating　TBM　construction　performance　in　complex　environments.　©　2023　Central　South　University　of　Technology.　All　rights　reserved.