期刊
SHOCK AND VIBRATION
卷 2018, 期 -, 页码 -出版社
HINDAWI LTD
DOI: 10.1155/2018/9258675
关键词
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资金
- French National Research Agency (ANR) [ANR-11-EQPX-0040]
- French Ministry of ecology, Sustainable Development
- Urban Seismology project at the Institute of Earth Science ISTerre of the University of Grenoble-Alpes
- Labex OSUG@2020 (Investissements d'Avenir) [ANR10-LABX56]
- Agence Nationale de la Recherche (ANR) [ANR-11-EQPX-0040] Funding Source: Agence Nationale de la Recherche (ANR)
The real-time analysis of a structure's integrity associated with a process to estimate damage levels improves the safety of people and assets and reduces the economic losses associated with interrupted production or operation of the structure. The appearance of damage in a building changes its dynamic response ( frequency, damping, and/or modal shape), and one of the most effective methods for the continuous assessment of integrity is based on the use of ambient vibrations. However, although resonance frequency can be used as an indicator of change, misinterpretation is possible since frequency is affected not only by the occurrence of damage but also by certain operating conditions and particularly certain atmospheric conditions. In this study, after analyzing the correlation of resonance frequency values with temperature for one building, we use the data mining method called association rule learning (ARL) to predict future frequencies according to temperature measurements. We then propose an anomaly interpretation strategy using the traffic light method.
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