Austenitic　stainless　steel　is　recognized　for　its　potential　in　improving　structural　seismic　resistance　due　to　its　exceptional　ductility.　This　study　seeks　to　analyse　the　material　characteristics　and　cyclic　constitutive　model　of　austenitic　stainless　steel　under　cyclic　loading　using　a　combination　of　experiments　and　numerical　studies.　The　primary　goal　is　to　enhance　the　precision　of　numerical　simulations　predicting　the　seismic　performance　of　stainless　steel　and　to　minimize　the　costs　associated　with　calibrating　the　parameters　of　the　cyclic　constitutive　model.　By　conducting　cyclic　loading　experiments　on　stainless　steel　with　different　plate　thicknesses,　the　hysteresis　curves　under　different　loading　protocols　were　obtained.　The　loading　protocol　significantly　influences　the　cyclic　hardening　behaviour　of　stainless　steel.　To　calibrate　material　parameters　in　the　Chaboche　model　more　effectively,　a　new　parameter　calibration　method　based　on　genetic　algorithm　optimization　is　proposed.　Additionally,　a　method　is　proposed　to　calibrate　the　material　parameters　of　the　Hu　model　by　utilizing　the　monotonic　tensile　stress-strain　curve　of　austenitic　stainless　steel,　which　provides　a　new　material　model　option　for　the　numerical　simulation　of　stainless　steel　seismic　performance.　The　applicability　of　the　Chaboche　model　and　the　Hu　model　in　numerical　simulations　of　stainless　steel　members　is　then　verified　and　compared　using　existing　seismic　performance　test　results.　The　findings　indicate　that　the　Hu　model　offers　more　accurate　numerical　simulations　of　cyclic　loading　on　austenitic　stainless　steel　members　compared　to　the　Chaboche　model.