Challenges in applying vibration-based damage detection to highway bridge structures

Tefera, Berhanu; Zekaria, Adil; Gebre, Abrham

doi:10.1007/s42107-023-00594-5

Cited by 8 publications

(5 citation statements)

References 77 publications

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“…where C is the direction cosine matrix, i.e., the rotation matrix; l i stands for the leverarm vector of antenna i; Ω ω indicates the skew-symmetric matrix of three-dimensional angular rate obtained by IMU, i.e., [ω×]; [•×] represents a skew-symmetric operator; and Ω e denotes the skew-symmetric matrix of earth angle rotation speed vector. Inserting (4) and ( 5) into (3) yields the double-difference carrier phase and pseudorange rate equations expressed by the position vector and velocity vector of the IMU center:…”

Section: Multi-antenna Gnss/imu Tight Integration Measurement Modelmentioning

confidence: 99%

“…SHM is a technology for obtaining deformation information and estimating the health condition and the structural characteristics of civil structures and infrastructures [1,2]. On this basis, an SHM strategy first intends to measure responses such as displacements over time, and then obtain insightful information about the current or unknown condition of a civil structure by computational techniques either in time domain or in frequency domain [3,4]. Various types of sensor devices such as linear variable differential transformers, optical fiber sensors, smartphones, vision cameras, and radars are used in SHM to measure the displacement responses, but dynamic deformation monitoring widely adopts GNSS and accelerometers for SHM non-stop or with high periodicity but not requiring gluing/embedding sensors into the structure [5][6][7][8].…”

Section: Introductionmentioning

confidence: 99%

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Multi-Antenna Global Navigation Satellite System/Inertial Measurement Unit Tight Integration for Measuring Displacement and Vibration in Structural Health Monitoring

Dai,

Li,

et al. 2024

Remote Sensing

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Large-scale engineering structures deform and vibrate under the influence of external forces. Obtaining displacement and vibration is crucial for structural health monitoring (SHM). Global navigation satellite system (GNSS) and inertial measurement unit (IMU) are complementary and widely used in SHM. In this paper, we propose an SHM scheme where IMU and multi-antenna GNSS are tightly integrated. The phase centers of multiple GNSS antennas are transformed into the IMU center, which increases the observation redundancy and strengthens the positioning model. To evaluate the performance of tight integration of IMU and multiple GNSS antennas, high-rate vibrational signals are simulated using a shaking table, and the errors of horizontal displacement of different positioning schemes are analyzed using recordings of a high-precision ranging laser as the reference. The results demonstrate that applying triple-antenna GNSS/IMU integration for measuring the displacement can achieve an accuracy of 2.6 mm, which is about 33.0% and 30.3% superior than the accuracy achieved by the conventional single-antenna GNSS-only and GNSS/IMU solutions, respectively.

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Section: Multi-antenna Gnss/imu Tight Integration Measurement Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Multi-Antenna Global Navigation Satellite System/Inertial Measurement Unit Tight Integration for Measuring Displacement and Vibration in Structural Health Monitoring

Dai,

Li,

et al. 2024

Remote Sensing

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“…action of strong winds [1][2][3]. Intense vibration can lead to problems, such as fatigue and rupture of diagonal cables, which can damage the bridge structure and jeopardize safety [4][5][6]. Effectively monitor the wind pressure of the cable, as well as providing effective data for health assessment of personnel is a challenging problem.…”

Section: Introductionmentioning

confidence: 99%

Design of flexible sensor for wind pressure monitoring of stay cables

Wang,

Guo,

Huang

et al. 2024

Meas. Sci. Technol.

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Strong winds can make a bridge’s cable-stayed cables produce violent vibrations, leading to fatigue of the cable-stayed cables and damaging the cable-stayed bridge’s structure. Accurately and effectively obtaining data on the wind loads applied to the cable-stayed cables is important for assessing the cable-stayed cables’ health. Currently, the more widely used sensing elements include diffuse silicon piezoresistive sensors and strain gauges. However, most of them present such disadvantages as rigidity, difficult to fit the curved surface, high cost and low sensitivity. In this paper, a conductive hydrogel flexible pressure sensor based on TA/CB@PDMS was developed, using carbon black (CB) as the main conductive medium, with good electrical conductivity, high sensitivity (0.95 kPa-1) and excellent tensile properties (210% tensile breakage). Meanwhile, a salt permeation method(Soak the sensor in LiBr solution) was used to effectively inhibit the sensor's water from being evaporated and frozen. Its substrate incorporates tannic acid (TA) to increase the sensor’s adhesion so that it adheres well to the diagonal cable’s surface. In this paper, the wind speed variation around the diagonal cable and the force distribution on the surface with considering the fluid-structure coupling effect are analyzed by ANSYS WORKBECH finite element simulation. Wind tunnel experiments simulate the sensor’s force response when the inclined cable is subjected to different wind speeds, and the detection accuracy reaches 96.17%. The results show the sensor developed in this paper can realize accurate wind pressure detection of the inclined cable. This study provides a new method for wind pressure detection and health inspection of diagonal cables.

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“…Hence, the resulting damage-detection methods are also considered time-consuming and expensive. Based on the methods mentioned above (and the other damage-detection methods not addressed in this paper), several review papers discuss the benefits, challenges, and limitations of the vibration-based damage-detection method, such as [ 21 , 22 , 23 , 24 , 25 , 26 , 27 , 28 , 29 ].…”

Section: Introductionmentioning

confidence: 99%

An Investigation into the Application of Acceleration Responses’ Trendline for Bridge Damage Detection Using Quadratic Regression

Kordestani,

Zhang,

Arab

2024

Sensors

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It has been proven that structural damage can be successfully identified using trendlines of structural acceleration responses. In previous numerical and experimental studies, the Savitzky–Golay filter and moving average filter were adjusted to determine suitable trendlines and locate structural damage in a simply supported bridge. In this study, the quadratic regression technique was studied and employed to calculate the trendlines of the bridge acceleration responses. The normalized energies of the resulting trendlines were then used as a damage index to identify the location and severity of the structural bridge damage. An ABAQUS model of a 25 m simply supported bridge under a truckload with different velocities was used to verify the accuracy of the proposed method. The structural damage was numerically modeled as cracks at the bottom of the bridge, so the stiffness at the damage positions was decreased accordingly. Four different velocities from 1 m/s to 8 m/s were used. The proposed method can identify structural damage in noisy environments without monitoring the dynamic modal parameters. Moreover, the accuracy of the newly proposed trendline-based method was increased compared to the previous method. For velocities up to 4 m/s, the damage in all single- and multiple-damage scenarios was successfully identified. For the velocity of 8 m/s, the damage in some scenarios was not located accurately. Additionally, it should be noted that the proposed method can be categorized as an online, quick, and baseline-free structural damage-detection method.

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Challenges in applying vibration-based damage detection to highway bridge structures

Cited by 8 publications

References 77 publications

Multi-Antenna Global Navigation Satellite System/Inertial Measurement Unit Tight Integration for Measuring Displacement and Vibration in Structural Health Monitoring

Multi-Antenna Global Navigation Satellite System/Inertial Measurement Unit Tight Integration for Measuring Displacement and Vibration in Structural Health Monitoring

Design of flexible sensor for wind pressure monitoring of stay cables

An Investigation into the Application of Acceleration Responses’ Trendline for Bridge Damage Detection Using Quadratic Regression

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