Bridge Displacement Estimation Using a Co-Located Acceleration and Strain

Sarwar, Muhammad Zohaib; Park, Jong Woong

doi:10.20944/preprints202001.0253.v1

Cited by 12 publications

(3 citation statements)

References 28 publications

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“…Traditionally, the displacement is measured using a linear variable differential transformer (LVDT), a contact-type sensor that provides accurate displacements. However, the installation of LVDTs to bridges is limited, as they must be affixed on a stationary reference [ 1 , 2 , 3 ]. Therefore, LVDT measurements are limited to only some points on a structure and are unavailable to bridges built over waterways or highways.…”

Section: Introductionmentioning

confidence: 99%

Development of a Reference-Free Indirect Bridge Displacement Sensing System

Won

Park

et al. 2021

Sensors

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Bridge displacement measurements are important data for assessing the condition of a bridge. Measuring bridge displacement under moving vehicle loads is helpful for rating the load-carrying capacity and evaluating the structural health of a bridge. Displacements are conventionally measured using a linear variable differential transformer (LVDT), which needs stable reference points and thus prohibits the use of this method for measuring displacements for bridges crossing sea channels, large rivers, and highways. This paper proposes a reference-free indirect bridge displacement sensing system using a multichannel sensor board strain and accelerometer with a commercial wireless sensor platform (Xnode). The indirect displacement estimation method is then optimized for measuring the structural displacement. The performance of the developed system was experimentally evaluated on concrete- and steelbox girder bridges. In comparison with the reference LVDT data, the maximum displacement error for the proposed method was 2.17%. The proposed method was successfully applied to the displacement monitoring of a tall bridge (height = 20 m), which was very difficult to monitor using existing systems.

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Section: Introductionmentioning

confidence: 99%

Development of a Reference-Free Indirect Bridge Displacement Sensing System

Won

Park

et al. 2021

Sensors

View full text Add to dashboard Cite

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“…On the other hand, the relative responses can be directly used to form the state vector based on the general equation of motion, which is formulated in a relative coordinate system, so that there is no direct feedthrough term in the state-space equation [ 23 , 24 , 25 ]. In addition, some researchers combined other responses data (e.g., displacement or strain) with acceleration responses to evaluate the structures [ 26 , 27 , 28 , 29 ]. Moreover, Oh et al [ 30 ] used a convolutional neural network to predict the time histories of relative displacements from the recorded absolute accelerations, but relative error of the maxima (up to 16%) in the numerical simulation was unsatisfactory.…”

Section: Introductionmentioning

confidence: 99%

“…Thus, the identification algorithms that use limited output measurements [ 19 , 20 , 21 , 22 , 23 , 24 , 25 ] have been developed to simplify the sensing systems of Zhao et al’s method [ 17 , 18 ] (it requires sensors to be deployed on all floors). Nevertheless, these methods [ 19 , 20 , 21 , 22 , 23 , 24 , 25 ] still entail more than one accelerometer to provide sufficient output data, and in particular, the methods in the literature [ 22 , 23 , 26 , 27 , 28 , 29 ] require simultaneous measurements from accelerometers and displacement or strain sensors for data fusion. To simplify SHM systems further, this study develops an identification algorithm for determining the relative displacement from measurement made by one accelerometer.…”

Section: Introductionmentioning

confidence: 99%

Absolute Displacement-Based Formulation for Peak Inter-Story Drift Identification of Shear Structures Using Only One Accelerometer

Mita

2021

Sensors

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Only one accelerometer is used in this paper for estimating the maximum inter-story drifts and time histories of the relative displacements of all stories of multi-degree-of-freedom (MDOF) shear structures under seismic excitation. The calculation based on the data of one sensor using a conventional method is unstable, and when modal coordinates are used, higher modes should be included, which is different from the estimation based on the responses recorded by many accelerometers. However, the parameters of the higher modes of structures are difficult to obtain from structures under small excitations. To overcome this difficulty, the recorded absolute acceleration is converted into the absolute displacement, and a state-space equation is formulated. Numerical simulations of a nine-story structure were conducted to check the applicability, robustness against environmental noise, and optimal installation location of the accelerometer of the proposed approach. In addition, the effects of the higher modes were analyzed in terms of the number of accelerometers and type of response. Finally, the proposed approach was validated in a simple experiment. The results indicate that it can accurately estimate the time histories of the relative displacements and maximum inter-story drifts of all floors when one accelerometer is used and just the first two modal parameters are incorporated in the model. Furthermore, the approach is robust against environmental noise.

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

Kaloop

Elbeltagi

2020

Applied Sciences

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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.

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Bridge Displacement Estimation Using a Co-Located Acceleration and Strain

Cited by 12 publications

References 28 publications

Development of a Reference-Free Indirect Bridge Displacement Sensing System

Development of a Reference-Free Indirect Bridge Displacement Sensing System

Absolute Displacement-Based Formulation for Peak Inter-Story Drift Identification of Shear Structures Using Only One Accelerometer

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

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