METODOLOGIA ESTATÍSTICA PARA REMOÇÃO DOS EFEITOS OPERACIONAIS DAS RESPOSTAS DINÂMICAS DE UMA TORRE DE TELECOMUNICAÇÕES

Resumo

This paper describes a statistical methodology for removing the influence of operational
factors 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 and anemometers. The analysis of the results allowed to identify a
significant number of critical events, for which the dynamic response under wind action is amplified,
as well as sporadic events, associated with high peak acceleration values, due to the influence of
operational factors related to the lift movements, technical staff and equipment. Automatic
identification of critical events based on extreme acceleration values requires the prior removal of
operational effects from the records, which was performed using a methodology based on the crest
factor (CF) and autoregressive models (AR). The methodology demonstrated efficiency and
robustness in eliminating acceleration peaks due to operational factors, as well as being
computationally efficient, minimizing the possibility of false positives in the identification of critical
events. The developed methodology has potential be integrated in a Structural Health Monitoring
(SHM) system in order to evaluate the safety and operational conditions of the tower.