To　simulate　the　nonlinearity　of　isolation　layer　and　isolated　structure　simultaneously　in　seismic　testing,　this　paper　proposes　a　two-stage　real-time　hybrid　testing　method　for　isolated　structures.　In　the　first　stage,　the　isolation　bearing　was　tested　separately,　and　the　neural　network　was　trained　by　the　test　data　for　fitting　the　dynamic　characteristics　of　the　isolation　bearing.　In　the　second　stage,　the　trained　neural　network　was　used　to　build　the　numerical　substructure　model　of　isolation　layer,　which　was　then　combined　with　the　isolated　structure　to　realize　real-time　hybrid　testing　(RTHT),　so　as　to　complete　the　dynamic　performance　test　of　the　overall　isolated　structures.　In　numerical　simulation,　the　peak　error　of　the　results　between　the　proposed　method　and　overall　model　simulation　was　within　3%,　while　in　experimental　verification,　the　peak　error　of　the　results　between　the　proposed　method　and　shaking　table　testing　of　overall　structures　was　within　6%.　Numerical　simulation　and　experimental　comparison　show　that　the　proposed　two-stage　real-time　hybrid　testing　has　a　good　accuracy.　It　avoids　the　influence　of　insufficient　mass　of　isolation　bearing　caused　by　reduced　scale　in　shaking　table　testing,　and　ensures　the　authenticity　of　its　dynamic　performance.　Besides,　it　can　solve　the　errors　caused　by　inaccurate　modeling　of　numerical　substructure　when　using　RTHT　to　test　the　isolated　structures　with　strong　nonlinearity　in　each　part.　The　two-stage　real-time　hybrid　testing　provides　a　new　method　for　seismic　testing　of　isolated　structures.　©　2023　Harbin　Institute　of　Technology.　All　rights　reserved.