Operational and Analytical Modal Analysis of a Bridge Using Low-Cost Wireless Arduino-Based Accelerometers

Author:

Komarizadehasl SeyedmiladORCID,Huguenet Pierre,Lozano Fidel,Lozano-Galant Jose AntonioORCID,Turmo JoseORCID

Abstract

Arduino-based accelerometers are receiving wide attention from researchers to make long-term Structural Health Monitoring (SHM) feasible for structures with a low SHM budget. The current low-cost solutions found in the literature share some of the following drawbacks: (1) high noise density, (2) lack of wireless synchronization, (3) lack of automatic data acquisition and data management, and (4) lack of dedicated field tests aiming to compare mode shapes from Operational Modal Analysis (OMA) with those of a digital model. To solve these problems, a recently built short-span footbridge in Barcelona is instrumented using four Low-cost Adaptable Reliable Accelerometers (LARA). In this study, the automatization of the data acquisition and management of these low-cost solutions is studied for the first time in the literature. In addition, a digital model of the bridge under study is generated in SAP2000 using the available drawings and reported characteristics of its materials. The OMA of the bridge is calculated using Frequency Domain Decomposition (FDD) and Covariance Stochastic Subspace Identification (SSI-cov) methods. Using the Modal Assurance Criterion (MAC), the mode shapes of OMA are compared with those of the digital model. Finally, the acquired eigenfrequencies of the bridge obtained with a high-precision commercial sensor (HI-INC) showed a good agreement with those obtained with LARA.

Funder

Spanish Ministry of Economy and Competitiveness

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry

Reference83 articles.

1. Monitoring and evaluation of bridges: Lessons from the Polcevera Viaduct collapse in Italy;Clemente;J. Civ. Struct. Health Monit.,2020

2. Post-collapse analysis of Morandi’s Polcevera viaduct in Genoa Italy;Morgese;J. Civ. Struct. Health Monit.,2019

3. Peng, T., Nogal, M., Casas, J.R., and Turmo, J. (2021). Role of sensors in error propagation with the dynamic constrained observability method. Sensors, 21.

4. Structural system identification including shear deformation of composite bridges from vertical deflections;Emadi;Steel Compos. Struct.,2019

5. Fatalities due to bridge collapse;Proske;Proc. Inst. Civ. Eng.-Bridge Eng.,2020

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