A Simplified Methodology for Condition Assessment of Bridge Bearings Using Vibration Based Structural Health Monitoring Techniques

Abstract

The mechanical properties of bridge bearings gradually deteriorate over time resulting from daily traffic loading and harsh environmental conditions. However, structural health monitoring of in-service bridge bearings is rather challenging. This study presents a bridge bearing condition assessment framework which integrates the vibration data from a non-contact interferometric radar (i.e. IBIS-S) and a simplified analytical model. Using two existing concrete bridges in Australia as a case study, it demonstrates that the developed framework has the capability of detecting the structural condition of the bridge bearings in real-time. In addition, the results from a series of parametric studies show that the effectiveness of the developed framework is largely determined by the stiffness ratio between bridge bearing and girder ([Formula: see text], i.e. the structural condition of the bearings can only be effectively captured when the value of [Formula: see text] ranges from 1/100 and 100.

Bearing condition assessment of a simply elastic supported beam based on impact vibration testing

“…Wu et al (2020) proposed a mode rotation angle superposition approach to predicting the sliding life of sliding bearings using the dynamic monitoring data of bridges. Raja et al (2021) proposed a simplified methodology for condition assessment of bridge bearings using vibration data from a non-contact interferometric radar. Obrien et al (2023) proposed the moving reference influence function to detect bridge bearing damage using deflections inferred from vehicle accelerations.…”

Enhancing Damage Detection in 2D Concrete Plates: A Comprehensive Study on Interpolation Methods and Parameters

“…Specifically, it investigates the effect of PZT sorting and iterating techniques on 2D damage localization within concrete structures. Moreover, this study endeavors to enhance the previously developed method [15,16] by introducing the alpha interpolation technique, which is a novel contribution. While the previous work utilized a different approach, iterating along the transducers to consider all possible connections between them as AS paths, the introduction of the alpha interpolation method aims to improve damage localization accuracy within SHM contexts.…”

“…In this paper, the hybrid damage detection method proposed in our previous research [15,16] is further refined through the incorporation of the alpha interpolation method. This refinement aims to enhance the accuracy of damage detection and localization.…”

A temperature-driven approach for quantitative assessment of strengthening effect of continuous bridges using structural health monitoring data

“…3,4 Due to the advantage of long-term continuous tracking capability of bridges' performance without traffic interruption, structural health monitoring (SHM) systems have been widely used to collect bridges' real-time responses. 5 Commonly, the purposes of SHM are condition assessment and damage detection, and the methodologies to utilize monitoring data can be approximately divided into two streams: modelbased methods 6,7 and data-driven methods. 8 Establishing a finite element model, updating the model parameters by using measured data, and comparing the model's prediction with the measurements are the main steps of model-based methods.…”