The　progressive　collapse　of　structures　often　causes　serious　casualties　and　property　loss.　The　intrinsic　characteristic　of　progressive　collapse　is　large-scale　domino-like　structural　damage　caused　by　accidental　local　failure　induced　by　uncertainty　factors.　Therefore,　it　is　vital　to　conduct　uncertainty　analyses　on　the　progressive　collapse　of　reinforced　concrete　(RC)　frame　structures　under　dynamic　loads.　In　this　study,　to　better　quantify　the　progressive　collapse　resistance　of　RC　frame　structures,　progressive　collapse　fragility　analyses　and　sensitivity　analyses　were　conducted　at　both　the　component　and　structural　levels,　taking　into　consideration　the　uncertainties　in　the　structural　design　parameters,　including　structural　loads,　geometries,　material　properties,　etc.　At　the　component　level,　an　energy-based　simplified　analysis　method　was　proposed　for　the　quick　assessment　of　the　progressive　collapse　vulnerability　of　RC　beam-column　substructures.　At　the　structural　level,　a　fragility　curve　cluster　was　adopted　for　evaluating　the　progressive　collapse　resistance　of　RC　frame　structures.　A　typical　3-story,　4　×　3　span　RC　frame　structure　designed　according　to　Chinese　codes　was　evaluated　by　the　progressive　collapse　fragility　curve　cluster.　It　is　found　that　the　failure　probability　of　the　RC　frame　may　increase　by　more　than　30%　after　considering　the　uncertainty　factors.　Based　on　the　fragility　curve　cluster,　the　robustness　and　reliability　of　both　the　RC　frame　and　its　components　were　quantified.　And　a　safety　index　is　proposed　for　judging　whether　a　structure/component　requires　a　progressive　collapse　redesign.　Furthermore,　the　sensitivity　analysis　results　indicate　that　the　load　effects,　strength　of　the　reinforcement　steel,　and　the　reinforcement　area　in　a　beam　significantly　affect　the　structural　progressive　collapse　resistance.　The　research　outcomes　can　provide　references　for　quantifying　the　progressive　collapse　resistance　and　improving　the　progressive　collapse　design　of　RC　frame　structures.　©　2021　Elsevier　Ltd