Study on the early warning mechanism for real-time monitored structural responses of a historical timber building

• Published in: Measurement : journal of the International Measurement Confederation Vol. 165; p. 108136
• Main Authors: Wang, Juan, Chen, Huihui, Du, Xiaoying
• Format: Journal Article
• Language: English
• Published: London Elsevier Ltd 01.12.2020; Elsevier Science Ltd
• Subjects: Data integration; Early warning mechanism; Emergency communications systems; Extreme analysis; Extreme values; Historic buildings & sites; Historical buildings; Monitoring systems; Preventive maintenance; Real time; Statistical analysis; Structural health monitoring; Structural response; Substructures; Timber (structural); Extreme analysis; Early warning mechanism; Structural response; Statistical analysis; Structural health monitoring
• ISSN: 0263-2241; 1873-412X
• DOI: 10.1016/j.measurement.2020.108136

•The early warning mechanism for historical timber building is presented.•Early warning thresholds based on statistical and extreme value analysis of past monitored structural responses are proposed.•Early warnings for substructures are realized by efficiency coefficient data fusion method. Structural Health Monitoring (SHM) is of great importance for the preventive protection of historical buildings. Real-time monitoring and early warning of the structural response have advantages of timeliness and early detection of abnormal structural conditions. Feiyun Wood Pavilion, a historical timber building in China, was taken as the object to study the early warning mechanism for real-time monitored structural responses. An early warning mechanism for historical timber building has been presented under different data accumulated time. The early warning thresholds of structural responses based on statistical and extreme value analysis of the accumulated monitoring data are proposed. Early warning for substructure of the building is realized by data fusion based on the efficiency coefficient method. The effectiveness of the proposed mechanism was verified by real monitoring data. The proposed mechanism gives an early warning solution of the SHM that can be references for existing and other historical buildings.