Estimating the Dynamic Behavior of Highway Steel Plate Girder Bridges Using Real-Time Strain Measurements

Abstract

Structural health monitoring (SHM) techniques are used to assess the behavior of structures during or after construction. The high cost of sensors is the main reason for the limited use of the SHM techniques. The present study investigates the dynamic behavior (dynamic acceleration, semi-static displacement, frequency and damping ratio) of highway steel plate girder bridges using strain measurements. The double filtration and polynomial prediction methods are used to estimate the dynamic behavior of the bridge using real-time strain measurements. To verify the accuracy of the developed method, the field monitoring measurements of the WonHyo bridge is used. The bridge behavior under different truck speeds and weights is observed and evaluated. The displacement and acceleration measurements are used to examine the results of the proposed method. The results of this study demonstrate that the strain measurements can be used to obtain an accurate semi-static displacement and dominant frequency content of the bridge. The accuracy of the developed model for the semi-static and dynamic behaviors is 99% and 69%, respectively.

Research on an Optimized Evaluation Method of the Bearing Capacity of Reinforced Concrete Beam Based on the Bayesian Theory

“…Sun et al [ 7 ] discussed the application scenarios of big data and artificial intelligence in bridge health monitoring based on the massive data processing of structural health monitoring, and pointed out the applicability of deep learning algorithm in UAV detection and health monitoring. Kaloop et al [ 8 ] studied the dynamic characteristics (dynamic acceleration, dynamic deflection, frequency, and damping ratio) of highway steel plate girder bridges using strain measurement methods, designed a transformation function based on polynomial prediction model and dual filtering method, and used cyclic filtering to eliminate real-time strain measurement noise in the time domain to predict the dynamic behavior of bridges. The research results show that only monitoring the structural dynamic strain can accurately predict the dynamic deflection and acceleration of the bridge in the short-term performance evaluation, so as to reduce the difficulty of short-term monitoring of steel plate girder bridges.…”

Time-Dependent Reliability Analysis for Deflection of a Reinforced Concrete Box Girder Bridge

“…Therefore, proper design and construction methodology should be followed to achieve adequate cambering; failing to do so will ultimately affect the performance of bridges. In this regard, structural health monitoring (SHM) has become an essential tool for performance assessment of bridges under various conditions [4]. For such an activity, dynamic load test can be conducted to assess the behavior of the bridge.…”