With　the　increase　in　traffic　volume,　accurately　predicting　the　fatigue　life　of　asphalt　binders　under　diverse　conditions　has　played　a　crucial　role　in　improving　the　service　quality　of　asphalt　pavements.　As　a　typical　viscoelastic　material,　the　performance　of　asphalt　binders　is　significantly　affected　by　loading　frequency,　whereas　existing　fatigue　life　models　often　neglect　this　influence.　Therefore,　it　is　necessary　to　develop　a　fatigue　life　prediction　framework　considering　the　effect　of　loading　frequency.　This　study　employs　linear　amplitude　sweep　(LAS)　testing　to　evaluate　the　fatigue　life　of　asphalt　binders　at　varying　strain　levels　and　frequencies.　An　in-depth　analysis　of　the　experimental　data　is　conducted　based　on　the　pseudo-strain　energy　simplified　viscoelastic　continuum　damage　(PSE-based　S-VECD)　theory.　The　findings　indicate　a　remarkable　impact　of　frequency　on　the　fatigue　life　of　asphalt　binders,　with　a　strong　linear　correlation　observed　between　the　loading　frequency　and　the　characteristic　parameters　C1　and　C2　derived　from　the　damage　characteristic　curve　(DCC).　Utilizing　this　model,　the　DCCs　at　any　desired　loading　frequency　can　be　derived　by　simply　conducting　LAS　tests　at　two　different　loading　frequencies　and　fitting　the　relationship　between　characteristic　parameters　and　the　loading　frequencies.　To　validate　the　predictive　model,　this　study　adopts　two　criteria　for　assessing　fatigue　failure:　the　35　%　damage　level　failure　criterion　and　the　maximum　stress　failure　criterion.　The　results　demonstrate　that　the　model　exhibits　excellent　predictive　accuracy　under　both　criteria.　To　this　end,　this　research　devises　a　straightforward　and　effective　method　for　accurately　predicting　the　fatigue　life　of　asphalt　binders　subjected　to　varying　loading　frequency　and　strain　conditions.　©　2025　Elsevier　Ltd