One-year dynamic monitoring of a historic tower: damage detection under changing environment

The paper summarizes the conceptual development of a vibration-based strategy suitable to the structural health monitoring of ancient masonry towers and exemplifies its application in the continuous dynamic monitoring of the tallest historic tower in Mantua, Italy. The presented approach is based on the installation of low-cost monitoring systems (consisting of few accelerometers and temperature sensors) and on the combined use of automated operational modal analysis, regression models to mitigate the environmental effects on identified natural frequencies and multivariate statistical tools to detect the occurrence of abnormal structural changes. The application of the adopted strategy to 15 months of continuously collected experimental data: (1) highlighted the effect of temperature on the automatically identified natural frequencies; (2) demonstrated the practical feasibility of damage detection methods based on natural frequency shifts; (3) provided a clear evidence of the possible key role of continuous dynamic monitoring in the preventive conservation of historic towers.

[1]  Rodolfo Puglia,et al.  Overview on the Strong‐Motion Data Recorded during the May–June 2012 Emilia Seismic Sequence , 2013 .

[2]  Bart Peeters,et al.  System identification and damage detection in civil engineering , 2000 .

[3]  J. Hair Multivariate data analysis , 1972 .

[4]  Gabriele Comanducci,et al.  Structural health monitoring of suspension bridges with features affected by changing wind speed , 2015 .

[5]  Hoon Sohn,et al.  Effects of environmental and operational variability on structural health monitoring , 2007, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[6]  Paulo B. Lourenço,et al.  Monitoring historical masonry structures with operational modal analysis: Two case studies , 2007 .

[7]  Gabriele Comanducci,et al.  Sensing hardware optimization and automated condition assessment of a monumental masonry bell-tower , 2015 .

[8]  Douglas C. Montgomery,et al.  Introduction to Statistical Quality Control , 1986 .

[9]  Guido De Roeck,et al.  Fully automated (operational) modal analysis , 2012 .

[10]  Lennart Ljung,et al.  System Identification: Theory for the User , 1987 .

[11]  Filipe Magalhães,et al.  Vibration based structural health monitoring of an arch bridge: From automated OMA to damage detection , 2012 .

[12]  Reto Cantieni One-Year Monitoring of a Historic Bell Tower , 2014 .

[13]  James M. W. Brownjohn,et al.  Long-term monitoring and data analysis of the Tamar Bridge , 2013 .

[14]  Helmut Wenzel,et al.  Health monitoring of bridges , 2009 .

[15]  Antonella Saisi,et al.  Post-earthquake diagnostic investigation of a historic masonry tower , 2015 .

[16]  Carmelo Gentile,et al.  Post-earthquake continuous dynamic monitoring of the Gabbia Tower in Mantua, Italy , 2015 .

[17]  Claudio Modena,et al.  Uncertainty quantification in structural health monitoring: Applications on cultural heritage buildings , 2016 .

[18]  T. O. Kvålseth Cautionary Note about R 2 , 1985 .

[19]  Gabriele Comanducci,et al.  Environmental effects on natural frequencies of the San Pietro bell tower in Perugia, Italy, and their removal for structural performance assessment , 2017 .

[20]  Guido De Roeck,et al.  REFERENCE-BASED STOCHASTIC SUBSPACE IDENTIFICATION FOR OUTPUT-ONLY MODAL ANALYSIS , 1999 .

[21]  Alessandro Cabboi,et al.  Automated modal identification and tracking: Application to an iron arch bridge , 2017 .

[22]  Edwin Reynders,et al.  System Identification Methods for (Operational) Modal Analysis: Review and Comparison , 2012 .