A Wireless Data Acquisition System Based on MEMS Accelerometers for Operational Modal Analysis of Bridges
Open Access
Abstract
This paper illustrates a novel and cost-effective wireless monitoring system specifically developed for operational modal analysis of bridges. The system employs battery-powered wireless sensors based on MEMS accelerometers that dynamically balance power consumption with high processing features and a low-power, low-cost Wi-Fi module that ensures operation for at least five years. The paper focuses on the system’s characteristics, stressing the challenges of wireless communication, such as data preprocessing, synchronization, system lifetime, and simple configurability, achieved through the integration of a user-friendly, web-based graphical user interface. The system’s performance is validated by a lateral excitation test of a model structure, employing dynamic identification techniques, further verified through FEM modeling. Later, a system composed of 30 sensors was installed on a concrete arch bridge for continuous OMA to assess its behavior. Furthermore, emphasizing its versatility and effectiveness, displacement is estimated by employing conventional and an alternative strategy based on the Kalman filter.Keywords
This publication has 44 references indexed in Scilit:
- Abnormal data detection for structural health monitoring: State-of-the-art reviewDevelopments in the Built Environment, 2024
- Continuous dynamic monitoring of a large‐span arch bridge with wireless nodes based on MEMS accelerometersStructural Control and Health Monitoring, 2022
- Study and analysis of the piezoresistive accelerometer stability and improvement of their performancesInternational Journal of System Assurance Engineering and Management, 2017
- Structural Condition Assessment of Birecik Highway Bridge Using Operational Modal AnalysisInternational Journal of Civil Engineering, 2016
- Reference free method for real time monitoring of bridge deflectionsEngineering Structures, 2015
- Vibration Monitoring of Multiple Bridge Points by Means of a Unique Vision-Based Measuring SystemExperimental Mechanics, 2013
- Development of a wireless sensor network system for suspension bridge health monitoringAutomation in Construction, 2012
- Design of an FIR filter for the displacement reconstruction using measured acceleration in low‐frequency dominant structuresInternational Journal for Numerical Methods in Engineering, 2009
- Detection of abrupt structural damage induced by an earthquake using a moving time window techniqueComputers & Structures, 2008
- Time Synchronization and Calibration in Wireless Sensor Networks2005