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Statistical methodologies for removing the operational effects from the dynamic responses of a high‐rise telecommunications tower

2021; Wiley; Volume: 28; Issue: 4 Linguagem: Inglês

10.1002/stc.2700

1545-2263

Diogo Ribeiro, Jorge Leite, Andreia Meixedo, Nuno Pinto, Rui Calçada, Michael D. Todd,

Structural Engineering and Vibration Analysis

Structural Control and Health MonitoringVolume 28, Issue 4 e2700 RESEARCH ARTICLE Statistical methodologies for removing the operational effects from the dynamic responses of a high-rise telecommunications tower Diogo Ribeiro, Corresponding Author Diogo Ribeiro drr@isep.ipp.pt orcid.org/0000-0001-8624-9904 CONSTRUCT-LESE, School of Engineering, Polytechnic Institute of Porto, Porto, Portugal Correspondence Diogo Ribeiro, CONSTRUCT-LESE, School of Engineering, Polytechnic Institute of Porto, Porto, Portugal. Email: drr@isep.ipp.ptSearch for more papers by this authorJorge Leite, Jorge Leite orcid.org/0000-0002-5581-0356 CONSTRUCT-LESE, School of Engineering, Polytechnic Institute of Porto, Porto, PortugalSearch for more papers by this authorAndreia Meixedo, Andreia Meixedo orcid.org/0000-0001-8327-1452 CONSTRUCT-LESE, Faculty of Engineering, University of Porto, Porto, PortugalSearch for more papers by this authorNuno Pinto, Nuno Pinto orcid.org/0000-0001-8353-8663 CONSTRUCT-LESE, Faculty of Engineering, University of Porto, Porto, PortugalSearch for more papers by this authorRui Calçada, Rui Calçada orcid.org/0000-0002-2375-7685 CONSTRUCT-LESE, Faculty of Engineering, University of Porto, Porto, PortugalSearch for more papers by this authorMichael Todd, Michael Todd orcid.org/0000-0002-4492-5887 Department of Structural Engineering, University California San Diego, La Jolla, CA, USASearch for more papers by this author Diogo Ribeiro, Corresponding Author Diogo Ribeiro drr@isep.ipp.pt orcid.org/0000-0001-8624-9904 CONSTRUCT-LESE, School of Engineering, Polytechnic Institute of Porto, Porto, Portugal Correspondence Diogo Ribeiro, CONSTRUCT-LESE, School of Engineering, Polytechnic Institute of Porto, Porto, Portugal. Email: drr@isep.ipp.ptSearch for more papers by this authorJorge Leite, Jorge Leite orcid.org/0000-0002-5581-0356 CONSTRUCT-LESE, School of Engineering, Polytechnic Institute of Porto, Porto, PortugalSearch for more papers by this authorAndreia Meixedo, Andreia Meixedo orcid.org/0000-0001-8327-1452 CONSTRUCT-LESE, Faculty of Engineering, University of Porto, Porto, PortugalSearch for more papers by this authorNuno Pinto, Nuno Pinto orcid.org/0000-0001-8353-8663 CONSTRUCT-LESE, Faculty of Engineering, University of Porto, Porto, PortugalSearch for more papers by this authorRui Calçada, Rui Calçada orcid.org/0000-0002-2375-7685 CONSTRUCT-LESE, Faculty of Engineering, University of Porto, Porto, PortugalSearch for more papers by this authorMichael Todd, Michael Todd orcid.org/0000-0002-4492-5887 Department of Structural Engineering, University California San Diego, La Jolla, CA, USASearch for more papers by this author First published: 29 January 2021 https://doi.org/10.1002/stc.2700Citations: 3Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinked InRedditWechat Summary This paper describes statistical methodologies for removing the influence of operational effects from the dynamic responses of a telecommunications tower. The characterization of the dynamic responses of the structure, over a period of 3 months, was based on a continuous monitoring system that included accelerometers, anemometers and a meteorological station. The analysis of the results allowed identifying a significant number of critical events, for which the dynamic response under wind action is significantly amplified, as well as sporadic events, associated with high peak acceleration values, due to the influence of operational effects related to the movement of the lift, technical staff, and equipment. The automatic identification of critical events, based on extreme acceleration values, required the prior removal of operational effects from the records using two distinct methodologies, one based on the principal component analysis (PCA) and the other based on the crest factor (CF) and on autoregressive models (AR). Both methodologies showed efficiency and robustness in eliminating acceleration peaks due to operational effects; however, the methodology based on the CF and AR models proved to be computationally more efficient and resulted on a smaller number of false-positive occurrences in the identification of critical events. The developed methodologies showed potential to be integrated in Structural Health Monitoring (SHM) systems to assess the structural safety and serviceability of telecommunications towers. Citing Literature Volume28, Issue4April 2021e2700 RelatedInformation