Comparing　with　the　identification　results　based　on　single　type　of　measurement　data,　data　fusion　of　different　kinds　of　measurements　from　available　multi-sensor　monitoring　system　facilitated　for　more　accurate　identification　results.　To　make　full　use　of　the　acceleration　and　strain　measurements　for　structural　damage　detection,　with　the　established　relationship　between　displacement　and　strain　modes,　the　hybrid　mode　based　on　the　two　corresponding　modes　was　theoretically　derived,　and　a　structural　damage　detection　method　based　on　the　hybrid　mode　was　proposed.　The　method　adopted　the　frequency　and　mode　shape　of　the　hybrid　mode　to　build　the　objective　function,　meanwhile,　three　optimization　algorithms,　namely,　gradient　algorithm,　genetic　algorithm　and　particle　swarm　optimization　algorithm　were　applied　as　the　optimization　method　for　structural　damage　detection.　Numerical　simulation　studies　of　a　simply　supported　beam　and　a　two-dimensional　frame　under　different　sensor　placement　scenarios　were　carried　out　to　investigate　the　improvement　of　the　proposed　method.　The　results　showed　that　the　method　exhibited　good　noise　robustness　and　the　hybrid　mode　based　on　different　types　of　measurements　was　beneficial　to　improve　the　accuracy　of　identification　results.　©　2022　Science　Press.　All　rights　reserved.