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

• Tipo: Artigo em Revista Científica Internacional
• Data: 2021

Autores

Diogo Ribeiro (Autor) Outra; Jorge Leite (Autor) Outra; Meixedo, A (Autor) FEUP; Nuno Pinto (Autor) Outra; Rui Calçada (Autor) FEUP; Michael Todd (Autor) Outra

Revista

A Revista está pendente de validação pelos Serviços Administrativos.

Título: STRUCTURAL CONTROL & HEALTH MONITORING

Páginas: 1-25

ISSN: 1545-2255

Indexação

ISI Web of Knowledge - 11 Citações

Scopus - 14 Citações

Outras Informações

ID Authenticus: P-00T-CQ3

DOI: 10.1002/stc.2700

Abstract (EN): 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.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 25