Smart Structures and Systems

  • 제27권2호
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  • Pages.319-333
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  • 2021
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  • 1738-1584(pISSN)
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  • 1738-1991(eISSN)
테크노프레스 (Techno-Press)
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DOI QR코드

DOI QR Code

Detecting and localizing anomalies on masonry towers from low-cost vibration monitoring

  • Borlenghi, Paolo (Department of Architecture, Built environment and Construction engineering (ABC), Politecnico di Milano) ;
  • Gentile, Carmelo (Department of Architecture, Built environment and Construction engineering (ABC), Politecnico di Milano) ;
  • Saisi, Antonella (Department of Architecture, Built environment and Construction engineering (ABC), Politecnico di Milano)
  • 투고 : 2020.07.08
  • 심사 : 2020.11.21
  • 발행 : 2021.02.25
⟨ 이전 논문 다음 논문 ⟩

초록

The structural health of masonry towers can be monitored by installing few accelerometers (or seismometers) at the top of the building. This cost-effective setup provides continuous and reliable information on the natural frequencies of the structure and allows to detect the occurrence of structural anomalies; however, to move from anomaly detection to localization with such a simplified distribution of sensors, a calibrated numerical model is needed. The paper summarizes the development of a Structural Health Monitoring (SHM) procedure for the model-based damage assessment in masonry towers using frequency data. The proposed methodology involves the subsequent steps: (i) preliminary analysis including geometric survey and ambient vibration tests; (ii) FE modeling and updating based on the identified modal parameters; (iii) creation of a Damage Location Reference Matrix (DLRM) from numerically simulated damage scenarios; (iv) detection of the onset of damage from the analysis of the continuously collected vibration data, and (v) localization of the anomalies through the comparison between the experimentally identified variations of natural frequencies and the above-defined DLRM matrix. The proposed SHM methodology is exemplified on the ancient Zuccaro tower in Mantua, Italy. Pseudo-experimental monitoring data were generated and employed to assess the reliability of the developed algorithm in identifying the damage location. The results show a promise toward the practical applications of the proposed strategy for the early identification of damage in ancient towers.

키워드

과제정보

Sincere thanks are due to M. Cucchi (LPMSC, Politecnico di Milano) and A. Ruccolo (Ph.D. candidate, Politecnico di Milano), who assisted the authors in conducting the field tests.

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