Automatic identification of structural modal supported by DBSCAN density clus-tering algorithm
Existing modal identification methods often need manual identification of structural modal from the spectrum.However,manual identification is time-consuming,laborious,and subjective,and the identification results are not necessarily accurate.In this paper,an automatic identification method of modal parameters supported by in-telligent clustering algorithm is proposed.The method first constructs an empirical formula for modal distance,then performs DBSCAN density clustering on all the cluttered rows of stable points,and finally introduces the three-sig-ma criterion to further improve the robustness of the automatic identification of the structural modal.In order to vali-date the effectiveness of the proposed method,study on the automatic modal parameter identification is carried out on a ten-story frame model,and the results show that the proposed method can accurately and automatically identify the modal parameters of the structure without human intervention.