2026-04-17T08:21:23Zhttps://recercat.cat/oai/request

oai:recercat.cat:2117/1116212025-07-17T02:53:26Zcom_2072_1033col_2072_452950

Condition assessment using structural system identification Lei, Jun Lozano Galant, José Antonio Nogal Macho, María Xu, Dong Turmo Coderque, José Universitat Politècnica de Catalunya. Departament d'Enginyeria Civil i Ambiental Universitat Politècnica de Catalunya. EC - Enginyeria de la Construcció Àrees temàtiques de la UPC::Enginyeria civil::Materials i estructures Observers (Control theory) observability method sturctural system identification measurement errors simulation errors condition assessment Observadors (Teoria de control) The accumulation of progressive deterioration of structures might lead to the failure of structures. In order to avoid potential accidents, it is important to carry out condition assessment using structural system identification. This is based on the assumption that damage of structures can be reflected in the change of parameters. In every SSI method, measurement errors are introduced in the process of data collection and simulation errors also exist due to the inherent property of the algorithm used. The observability method has been proposed to deal with structural system identification under static loadings. Up to now, error analysis for this method has not been addressed yet. To fill this gap, this paper evaluate the effects of measurement errors and simulation errors on the observability method. The effects of measurement errors in a specific measurement and in all measurements are considered. The result indicate that the loading case and the location of the measrement is of primary importance. Also, rotations are less sensitive to errors than vertical deflections. On the other hand, the error propogation during the identification regarding the recursive steps and the curvature of structure is also illustrated. Postprint (published version) 2017 Conference report LEI, J., LOZANO-GALANT, J., Nogal, M., Xu, D., Turmo, J. Condition assessment using structural system identification. A: East Asia-Pacific Conference on Structural Engineering and Construction. "EASEC-15: East Asia-Pacific Conference on Structural Engineering & Construction: Xi’an, China, October 11-13, 2017: proceedings". Xi'an: Tongji University, 2017, p. 1580-1586. https://hdl.handle.net/2117/111621 eng Restricted access - publisher's policy 7 p. application/pdf Tongji University