A case study on bridge health monitoring using position-sensitive detector technology

Sung, Yu‐Chi; Miyasaka, Takaaki; Lin, Tzu-Kang; Wang, Chun Ying; Wang, Chung Yue

doi:10.1002/stc.436

Cited by 9 publications

(5 citation statements)

References 18 publications

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“…The maximum of the accumulated vertical settlement of HSIS 1 before August 20, 2010, was about 7 cm. This was near the first‐stage alert, which is the combination of simulation results, the related effect of the actual installation direction deviation (≈3 cm) during the pipe roof jacking, and even interactions among interfaces between inclinometers, HSIS pipes, grout backfill, and the pavement …”

Section: Field Monitoring Results and Discussionmentioning

confidence: 82%

Development and implementation of horizontal-plane settlement indication system for freeway health monitoring during underpass construction

Chung

Lin

Chin³

et al. 2017

Struct Control Health Monit

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Summary This study introduced two major contributions for freeway health monitoring during the pipe roof construction and subsequent excavation to enlarge an existing underpass. First, a horizontal‐plane settlement indication system (HSIS) was developed to monitor inevitable settlement due to shallow overburden above the steel pipes. Second, the experience gained from the field monitoring program was detailed with emphasis on encountered problems and countermeasures for freeway safety decision‐making. On the basis of two microelectromechanical systems tilt sensors embedded as a differential pair, HSIS effectively minimizes the effect of ambient temperature whose fluctuation was expected at shallow depth. The measurement accuracy (≤4 mm) and repeatability (≤0.05 mm) were verified experimentally. Thereby, three HSIS arrays were positioned in the freeway pavement to continuously detect local settlement and based on which to issue possible alarm. The RS485 data acquisition protocol, which is characterized by fast synchronized communication, was applied for HSIS to reduce the dynamic error due to heavy traffics. The observed settlement was close to the alarm threshold, which is considered as the combination effects of the simulated settlement and the penetrating deviation during the pipe roof construction. Furthermore, an approach to account for false vertical drift due to instability of the fixed point of HSIS was proposed such that the settlement behavior during excavation phase could be effectively described. The unique implementation is a benefit to further HSIS application in practice.

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Section: Field Monitoring Results and Discussionmentioning

confidence: 82%

Development and implementation of horizontal-plane settlement indication system for freeway health monitoring during underpass construction

Chung

Lin

Chin³

et al. 2017

Struct Control Health Monit

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“…The study had been conducted for assessment of cables on a suspension bridge including natural frequency estimation and cable‐tension verification. Some other researchers deployed vision‐based displacement monitoring systems for assessment of bridge sub‐structures as well as for finite element model updating . Those vision‐based measurement methods were based on the normalized cross correlation imaging algorithm, which was utilized to match the regions of interest on two consecutive images of the monitoring location (marked by a physical target).…”

Section: Introductionmentioning

confidence: 99%

Completely contactless structural health monitoring of real-life structures using cameras and computer vision

Khuc

Çatbaş

2016

Struct. Control Health Monit.

160

126

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A newly developed, completely contactless structural health monitoring system framework based on the use of regular cameras and computer vision techniques is introduced for obtaining displacements and vibrations of structures, which are critical responses for performance-based design and evaluation of structures. To provide contactless and practical monitoring, the current vision-based displacement measurement methods are improved by eliminating the physical target attachment. This is achieved by means of utilizing imaging key-points as virtual targets. As a result, pixel-based displacements of a monitored structural location are determined by using an improved detection and match key-points algorithm, in which false matches are identified and discarded almost completely. To transform pixel-based displacements to engineering units, a practical camera calibration method is developed because calibration standard on a physical target no longer exists. Moreover, a framework for evaluating the accuracy of vision-based displacement measurements is established for the first time, which, in return, provides users with the most crucial information of a measurement. The proposed framework along with a conventional sensor network and a data acquisition system are applied and verified on a real-life stadium during football games for structural assessment. The results obtained by the new method are successfully validated with the data acquired from sensors such as linear variable differential transformers and accelerometers. Because the proposed method does not require any type of sensor and target attachment, common field works such as sensor installation, wiring, maintaining conventional data acquisition systems are not required. This advantage enables an inexpensive and practical way for structural assessment, especially for real-life structures.In the field of non-contact and wireless measurement systems for SHM, vision-based methods offer promising opportunities with their contactless and cost-effective deployment. Furthermore, advances in camera technologies as well as computer vision algorithms provide data and processed results that are comparable with the ones obtained by utilizing classical approaches (e.g., conventional sensors and visual methods). For example, some challenges related to surface damage of structures have been effectively solved by using image processing, such as detection, and quantification of cracks and delamination of concrete [2-6] and pavement [7,8]. Regarding structural identification systems for decision making, some researchers proposed hybrid sensor-camera monitoring systems while utilizing cameras and computer vision techniques for obtaining traffic information inputs [9][10][11][12][13]. Vision-based displacement and vibration monitoring are possibly the most commonly sought after responses of structures that can be obtained wirelessly. An early research to determine displacements of a real-life structure was conducted on a cable-suspension bridge near Los Angeles, CA [14]. In this study...

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“…Although using GPS to measure bridges' displacements has several advantages, some problems still remain to be solved. These include the high level of electromagnetic noise, usage limitation because of the weather and high cost .…”

Section: Introductionmentioning

confidence: 99%

Deflection monitoring and assessment for a suspension bridge using a connected pipe system: a case study in China

Liu

Deng

Cai

2015

Struct. Control Health Monit.

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Summary This paper discusses the application of a connected pipe system (CPS) to a suspension bridge in China for the purpose of vertical deflection monitoring and assessment. The CPS mainly consists of three main parts: the pressure transmitters to detect the height change of liquid, the pipes to connect the reference point and measurement points, and the liquid to fill the connected pipes. Multiple pressure transmitters, taken as the measurement point, were mounted inside of the girder. A reference transmitter was mounted inside of a tower, taken as a fixed point. To verify the performance and reliability of the CPS, a controlled load test after the completion of the bridge construction and an uncontrolled load test under the actual traffic loading were carried out. The results showed that the CPS exhibited excellent capability in real‐time measurement of vertical deflection of the suspension bridge. With the long‐term deflection data monitored by the CPS, the extreme deflections with respect to vehicle loads were predicted by extreme value analysis. The generalized extreme value distribution was adopted to establish the probability models of the daily maximum and minimum deflection sequences, and then the extreme deflections within the design reference period of 100 years were determined based on the probability models. Comparison of the extreme deflections and the deflection thresholds was carried out. The deflection monitoring and assessment method proposed in this paper have shown high potential of applicability in the practice of health monitoring for long‐span bridges. Copyright © 2015 John Wiley & Sons, Ltd.

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A case study on bridge health monitoring using position-sensitive detector technology

Cited by 9 publications

References 18 publications

Development and implementation of horizontal-plane settlement indication system for freeway health monitoring during underpass construction

Development and implementation of horizontal-plane settlement indication system for freeway health monitoring during underpass construction

Completely contactless structural health monitoring of real-life structures using cameras and computer vision

Deflection monitoring and assessment for a suspension bridge using a connected pipe system: a case study in China

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