Modal parameter identification and dynamic monitoring of high arc dam under vibration response induced by flow discharge

Based on the prototype test of Ertan arc dam, combining with stochastic subspace identification algorithm and improved stabilization diagram, the modal parameters of arc dam under flow discharge were identified effectively, and the long-term online monitoring of the high dam was realized. All these result in offering evidence for structural health evaluation. Aiming at the difficult problems of noise reduction, false modal parameters identification and elimination, as well as model order determination in time domain methods, an improved stabilization diagram was put forward to achieve more precise results. The results obtained were compared with the results by ERA method. The study shows that the new approach is of excellent performance and fine precision, and also has good prospect to be applied in engineering.