Dynamic monitoring of a stadium suspension roof: Wind and temperature influence on modal parameters and structural response

Abstract

a b s t r a c tThis paper describes an extensive experimental investigation conducted on the Braga Stadium suspension roof combining recent developments in terms of sensors, data communicating systems, computational power and automated output-only modal identification algorithms. The continuous monitoring program established around this outstanding structure has allowed the continuous measurement of wind, temperature and acceleration. The variation of such quantities during a period of 8 months has been investigated, with the purpose of obtaining a characterisation of the wind action based on field tests, establishing correlations with the structural response and finally analysing the influence of wind and temperature on the variation of modal parameters.

Global overview on advances in structural health monitoring platforms

“…Another important advance for SHM application, especially on full-scale analysis, was the development of minimization of environmental effect to data collected, as OMA techniques for instance (see [77,78,79]). …”

Structural modification assessment using supervised learning methods applied to vibration data

“…However, when applying vibration-based damage detection to SHM, changes in vibration signatures are not only based on changes in any physical property. Environmental changes, notably temperature variations, can have a significant effect and it is necessary to take this into account for the evaluation of structural integrity [13,14].…”

Modal parameters identification and monitoring of two arches

“…It is possible to note that only isolate episodes of strong winds were registered and always lower than the design velocity (23 m/s) and then the critical wind speed. Figure 17 permits to visualize wind database (the same data reported in Figure 16), highlighting the directions that happen more frequently and where the strongest winds come from [9]. Dashed lines identify the percentage of data with respect of their total number: the radius of each angular sector is then proportional to the number of sample pertaining the sector.…”

“…For these reasons, tests on the real structure can be required to characterize it in terms of its modal parameters before and after the TMD installation [6,7,8]. Thanks to the advance in the stand-alone acquisition systems, it is also possible to easily check the structure behaviour during a wide time-window [9,10,11,12].…”