This　paper　presents　a　multi-member　automatic　structural　modeling　(MASM)　method　for　high-thrust　deviation　monitoring　of　prefabricated　cable　domes.　Point　cloud　data　generated　by　three-dimensional　(3D)　laser　scanning　were　segmented　into　structural　modules　to　effectively　reduce　the　method＇s　computational　complexity.　A　multimember　central　shrinkage　algorithm　was　developed　for　skeleton-point　recognition.　Subsequently,　skeleton　members　were　detected　with　sequentially　identified　joints,　and　the　structural　model　of　the　cable　dome　was　built.　The　MASM　method　was　validated　with　respect　to　its　1)　accuracy,　ensuring　a　satisfactory　signal-to-noise　ratio,　and　2)　efficiency,　ensuring　competitive　runtime.　The　use　case　of　the　cable-dome　deviation　monitoring　was　studied　in　detail.　The　proposed　MASM　method　systematically　evaluates　prefabricated　cable　domes　with　multi-section　members.　This　study　enables　high-fidelity　analysis　using　a　structural　digital　twin　for　predicting　future　structural　performance.　©　2024　Elsevier　B.V.