Fracture　mode　categorization　is　essential　in　identifying　the　failure　stage,　evaluating　the　damage　characteristics,　and　providing　references　for　structural　maintenance.　Acoustic　emission　(AE),　as　a　passive　nondestructive　technique,　presents　great　potential　in　damage　characterization　of　cementitious　materials　and　structures.　In　this　study,　a　convolutional　neural　network　(CNN)　and　gated　recurrent　unit　(GRU)　integrated　model　for　tensile,　shear,　and　mixed　cracking　mode　classification　of　ultra-high-performance　concrete　(UHPC)　was　proposed　and　verified　based　on　AE　waveform　features.　First,　four-point　bending　and　direct　shear　tests　for　UHPC　specimens　were　carried　out,　respectively,　to　generate　AE　waveform　signals　corresponding　to　different　cracking　modes　(tensile,　shear,　and　mixed　ones).　Subsequently,　the　collected　one-dimensional　AE　signals　were　converted　into　two-dimensional　time-frequency　spectrum　by　continuous　wavelet　transform.　And　an　AE　dataset　was　constructed　after　manual　labeling　based　on　the　corresponding　relationships　between　cracking　modes　and　wavelet　time-frequency　spectra.　Then,　an　automatic　CNN-GRU　automatic　classification　model　was　established　using　wavelet　time-frequency　spectrum　images　as　input　variables,　where　the　CNN　extracts　spatial　image　features,　and　the　GRU　screens　time　dependencies　and　realizes　final　classification.　The　proposed　CNN-GRU　model　achieves　an　accuracy　of　96.17%　for　cracking　mode　classification　of　UHPC,　which　is　superior　both　in　computational　accuracy　and　efficiency　to　lightweight　CNN　and　AlexNet.　Classification　outcomes　for　UHPC　specimen　under　four-point　bending　and　direct　shear　tests　revealed　the　proportion　of　tensile　cracks　progressively　decreased　with　the　increase　of　damage,　while　shear　cracks　exhibited　the　opposite　trend.　The　percentage　of　mixed　mode　cracks　maintained　relatively　stable　throughout　the　failure　stages.　The　model　proposed　in　this　study　presents　favorable　performance　to　reveal　the　underlying　damage　evolution　mechanism　during　UHPC　fracture,　which　can　also　provide　references　for　the　cracking　mode　classification　of　other　cementitious　materials　and　structures.