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Temperature effects on modal variability of a stress-ribbon footbridge under operational conditions

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Bibliographic Details
Summary:This paper reports the environmental effects on modal properties of the stress-ribbon footbridge of FEUP Campus, based on experimental data acquired by a continuous dynamic monitoring system, with remote control through the Internet, working permanently since June 2009, which comprehends a set of piezoelectric accelerometers and temperature sensors. A toolkit in LabVIEW environment was developed to process all the data collected by the monitoring system during almost one year, using an automated SSICOV modal identification method and an algorithm for the evaluation of averaged vibration amplitude. It is revealed that the natural frequencies are affected by both temperature and vibration amplitude caused by pedestrians. Comparison of modal estimates obtained from ambient vibration tests performed in October 2009 and October 2004, as well as the continuous monitoring results demonstrate that these ambient effects may mask subtle changes caused by possible damage. The application of Principal Component Analysis on the natural frequencies effectively eliminates such effects, enabling the establishment of a baseline to detect possible damage.
Main Authors:Wei-Hua Hu
Other Authors:A. Cardoso; F. Magalhães; E. Caetano; A. Cunha
Subject:Outras ciências da engenharia e tecnologias Other engineering and technologies
Year:2010
Country:Portugal
Document type:book
Access type:restricted access
Associated institution:Universidade do Porto
Language:English
Origin:Repositório Aberto da Universidade do Porto
Description
Summary:This paper reports the environmental effects on modal properties of the stress-ribbon footbridge of FEUP Campus, based on experimental data acquired by a continuous dynamic monitoring system, with remote control through the Internet, working permanently since June 2009, which comprehends a set of piezoelectric accelerometers and temperature sensors. A toolkit in LabVIEW environment was developed to process all the data collected by the monitoring system during almost one year, using an automated SSICOV modal identification method and an algorithm for the evaluation of averaged vibration amplitude. It is revealed that the natural frequencies are affected by both temperature and vibration amplitude caused by pedestrians. Comparison of modal estimates obtained from ambient vibration tests performed in October 2009 and October 2004, as well as the continuous monitoring results demonstrate that these ambient effects may mask subtle changes caused by possible damage. The application of Principal Component Analysis on the natural frequencies effectively eliminates such effects, enabling the establishment of a baseline to detect possible damage.