To　reasonably　investigate　the　influence　of　pile-soil　interaction　on　the　dynamic　reliability　of　monopile　supported　offshore　wind　turbines　(OWTs),　a　framework　with　high　efficiency　and　good　accuracy　is　proposed　for　reliability　and　sensitivity　analyses　of　monopile　supported　OWTs.　This　proposed　framework　combines　the　grey　relational　analysis　(GRA),　the　probability　density　evolution　method　(PDEM),　and　the　interval　mathematical　analysis　method　(IM).　Firstly,　the　GRA　is　applied　to　identify　the　main　controlling　parameters　influencing　the　stochastic　dynamic　response　of　a　monopile　supported　OWT,　considering　various　factors　such　as　pile　elasticity　modulus,　soil　internal　friction　angle　and　soil　unit　weight.　Secondly,　combining　the　probability　density　evolution　theory,　a　complete　sample　probability　set　is　established　to　obtain　the　dynamic　reliability　of　the　monopile　supported　OWT　under　wind　and　wave　loads.　Finally,　the　effect　of　each　controlling　parameter　on　the　dynamic　reliability　of　the　monopile　supported　OWT　is　systematically　analyzed　by　combining　the　IM　and　the　change　of　probability　measure.　The　proposed　GRA-PDEM-IM-based　framework　for　reliability　analyses　of　monopile　supported　OWTs　can　effectively　reduce　the　number　of　samples　for　probability　density　evolution　calculations　and　provide　reasonable　and　accurate　reliability　analyses　results　which　can　serve　as　a　reference　for　design　and　construction　of　monopile　supported　OWTs.