Dynamic identification of a cable-stayed footbridge using a low-cost data acquisition system

Abstract This study describes the dynamic identification of a cable-stayed footbridge using an alternative data acquisition system and output-only modal methods. Data were collected during tests performed based on Arduino platform, consisting low-cost devices with on-board Micro-Electro-Mechanical System (MEMS) accelerometers. The Peak-Picking (PP) method was used for stay cables. Frequency Domain Decomposition (FDD) Stochastic Subspace Identification - Unweighted Principal Components (SSI-UPC) methods complete structure. proposed efficiently recorded time series required Operational Modal Analysis acceleration process provided stable results. At least four mode shapes identified in all tests. A minimum high energy peaks 0 24 Hz frequency range spectrum obtained by cable selected method. In structure tests, first flexural shapes, within 9 range. Results domain showed maximum difference 2.37% experimental when compared to 3D finite element numerical model, while other frequencies between 1 2%. For method, 1.74% fourth frequency, differences 0.1 0.7% frequencies. evaluated Assurance Criterion (MAC) index, results varied 0.8513 0.9990.