Statistical Approach for Vibration-Based Damage Localization in Civil Infrastructures Using Smart Sensor Networks

Abstract

One of the most discussed aspects of vibration-based structural health monitoring (SHM) is how to link identified parameters with structural health conditions. To this aim, several damage indexes have been proposed in the relevant literature based on typical assumptions of the operational modal analysis (OMA), such as stationary excitation and unlimited vibration record. Wireless smart sensor networks based on low-power electronic components are becoming increasingly popular among SHM specialists. However, such solutions are not able to deal with long data series due to energy and computational constraints. The decentralization of processing tasks has been shown to mitigate these issues. Nevertheless, traditional damage indicators might not be suitable for onboard computations. In this paper, a robust damage index is proposed based on a damage sensitive feature computed in a decentralized fashion, suitable for smart wireless sensing solutions. The proposed method is tested on a numerical benchmark and on a real case study, namely the S101 bridge in Austria, a prestressed concrete bridge that has been artificially damaged for research purposes. The results obtained show the potential of the proposed method to monitor the conditions of civil infrastructures.

Damage detection on a historic iron bridge using satellite DInSAR data

“…[1][2][3] SHM methods generally consist of processing structural parameters to extract a damage-sensitive feature alerting about the occurrence of structural anomalies. [4][5][6] Among structural parameters, displacements are widely exploited in SHM applications on existing structures. 7 In the literature, methods to measure structural displacements are generally classified into contact and noncontact techniques.…”

Design and evaluation of 5G-based architecture supporting data-driven digital twins updating and matching in seismic monitoring

“…It is worth noticing that given the 3 main different types of structures (i.e. buildings Dolce et al (2017), bridges and infrastructures Anastasopoulos et al (2021), Giordano et al (2021), Rainieri et al (2020), cultural heritages Kita et al (2019), Potenza et al (2015) and towers Venanzi et al (2020), Gentile et al (2016)) different attentions and instructions must be ensured in the phases of monitoring system design.…”

Effect of the Temperature on the Modal Properties of a Steel Railroad Bridge

“…In order to detect deterioration (changes in stiffness, the mass, or damping), it is necessary to use an inverse approach, i.e. that damage can be found from changes in the dynamic response as in Finotti et al (2019), or Giordano et al (2021). Experimental modal analysis (Sridhar et al, 2019;Papai et al, 2013) or operational modal analysis (Moaveni et al, 2012) can be undertaken in order to obtain dynamic data.…”