Continuously　growing　number　and　span　length　of　long-span　bridges　in　coastal　region　of　China　require　a　robust　aeroelastic　design　to　against　the　tropical-cyclone　(TC)-induced　flutter　instability.　Instead　of　using　the　deterministic　approach,　this　study　presents　a　Monte-Carlo-technique-based　framework　to　analyze　the　flutter　reliability　of　a　long-span　suspension　bridge　subjected　to　TC　winds.　A　limit　state　function　formulated　as　the　difference　between　the　flutter　capacity　and　the　extreme　gust　wind,　termed　as　the　product　of　a　random　gust　factor　and　the　TC　mean　wind　hazard　is　employed.　The　flutter　fragility　curve　in　terms　of　the　critical　wind　speed　is　derived　using　2D　and　3D　flutter　analysis　models　accounting　for　the　structural　modal　and　damping　randomness　as　well　as　experiment-induced　errors　of　aeroelastic　flutter　derivatives.　The　TC　wind　hazard　curves　at　the　height　of　the　bridge　deck　described　as　the　probability　of　exceedance　at　any　given　years　of　interest　versus　the　extreme　10-min　mean　wind　speed　are　estimated　through　generating　a　large　quantity　of　synthetic　tracks　around　the　bridge　site.　The　probabilistic　solutions　of　the　gust　factor　associated　with　any　gust　duration　of　interest　are　determined　utilizing　the　statistics　of　observed　TCs　coupled　with　a　theoretical　model.　The　TC-induced　flutter　failure　probabilities　of　present　bridge　are　then　predicted　in　different　combinations　of　gust　duration,　surface　roughness　length　and　flutter　analysis　models,　which　enables　the　assessment　of　flutter　risk　subjected　to　TC　winds　as　compared　to　code　suggested　target　reliability　indices.　The　present　reliability　analysis　provides　some　basic　information　to　assist　and　enhance　the　flutter-resistant　design　of　long-span　bridges　due　to　TC　winds　during　the　preliminary　stage.