Wireless Smart Sensor Network System Using SmartBridge Sensor Nodes for Structural Health Monitoring of Existing Concrete Bridges

Gaviña, J R; Uy, Francis Aldrine A.; Carreon, J D

doi:10.1088/1757-899x/216/1/012050

Cited by 6 publications

(3 citation statements)

References 1 publication

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“…Meanwhile, the scalar damage of the top transducers showed early signs of damage propagation as compared to the middle, and bottom transducers since the inclination angles of the elastic data trend in Figures 7 and 8 are 18.468° and 18.989°, respectively, which is higher compared to the middle transducers with 3.579° and 9.373°, respectively, in contrast to the bottom transducers with 2.053° and 0.968°, respectively. These gradual deviations of scalar damage represented by the inclination angle indicate microstructural degradation detected using ultrasonic pulses and further magnified by the scalar damage formula to monitor the concrete's degradation prior to the formation of macrocrack defects and aligned with the studies of Nogueira and Rens [4] and Gaviña et al [5]. On the contrary, the middle transducers of Figure 9 showed early signs of deterioration with an inclination angle of 3.621° compared to the top transducers with 3.014°.…”

Section: Resultssupporting

confidence: 73%

“…Unfortunately, visual inspection is the most common practice in some developing countries to monitor the concrete's structural integrity. The problem is that it is fully experiencedbased, applicable only when the damage is visible and subjective, or non-quantitative [5]. Accurate structural integrity monitoring is critical since natural disasters such as Super Typhoons and Earthquakes are always a significant threat.…”

Section: Introductionmentioning

confidence: 99%

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Scalar Damage Modeling of Reinforced Concrete Beam Under Polarized Monotonic Stress Field Using Ultrasonic Pulses

Gamana¹,

Baccay²

2022

International Journal on Advanced Science, Engineering and Information Technology

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The extensive use of concrete has increased the demand for reliable non-destructive evaluation (NDE) techniques to investigate aging structures thoroughly. Among these NDE techniques, the ultrasonic pulse velocity (UPV) test stands out because of its versatility in-field application and its relatively low cost. Unfortunately, despite the promising results of UPV and pulse attenuation, its dependency on the nature of the applied stress is continuously overlooked. This research pioneered an approach that focused on developing a scalar damage model that relates the damage variable to the nature and the intensity of the applied stresses, concrete strength, and steel ratio. The results showed that transducers placed at different locations exhibited different deterioration rates of which the higher the applied stress intensity, the higher the scalar damage's inclination angle. Transducers placed in concrete under compression stress deteriorate earlier as compared to concrete under tension. As the steel ratio and concrete strength increase, the inclination angle of the elastic data trend also decreases. It was established in this research that beams with ductile response to the applied load tend to have a larger inclination angle for the elastic data trend while its UPV readings at the data trend's transition are greater than 3000 m/s which is conventionally accepted as concrete within normal to good quality although the beam undergoes critical stress redistribution as it approaches plastic hinging. Ultimately, this study showed that the scalar damage model exhibited superiority in quantitatively monitoring early damage propagation, in contrast to UPV reading and pulse attenuation.

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Section: Resultssupporting

confidence: 73%

Section: Introductionmentioning

confidence: 99%

Scalar Damage Modeling of Reinforced Concrete Beam Under Polarized Monotonic Stress Field Using Ultrasonic Pulses

Gamana¹,

Baccay²

2022

International Journal on Advanced Science, Engineering and Information Technology

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“…21 In Moreu et al, 22 the response of a bridge structure when a train passes over was measured by a wireless sensor network platform developed by Intel called Imote2. In Gavin˜a et al, 23 an acceleration wireless sensor network was used to monitor the structural response of a concrete bridge, and the health status of the bridge was evaluated. In He et al, 24 bridge structural modals were tested using a wireless sensor network, whose results were compared with those of a wired sensor network.…”

Section: Introductionmentioning

confidence: 99%

Grading diagnosis of beam bridge support separation disease within one cluster based on the difference in the probability density function of the measured data

Jiang¹,

Liu

Zhou³

2023

Structural Health Monitoring

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Bridge supports are the main bridge devices for resisting loads; thus, if separation disease occurs in bridge supports, the structural safety of a bridge cannot be ensured. There are very few studies using measured data for diagnosing the separation disease of support, and more studies are urgently needed. To address the abovementioned issue, a method of grading diagnosis of separation disease of beam bridge supports within one cluster based on the difference in the probability density function of measured data is proposed in this study. By making full use of the symmetry of the bridge structure and the rule of the beam body morphologic change with the state of the support, the instantaneous diagnosis index and the cumulative diagnosis index are constructed by utilizing the relationship of angular displacement at supports within one cluster. A grading diagnosis for the separation disease of support with the data measured by a wireless sensing network is proposed, which indirectly solves the difficulty of detecting the separation disease by directly measuring the supporting reaction force. The proposed method is validated by using both numerical examples and measured data from an actual bridge. The results show that the proposed method is effective for diagnosing the separation disease of bridge supports and is suitable for application to actual bridges.

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Smart Infrastructure: A Vision for the Role of the Civil Engineering Profession in Smart Cities

Berglund

Monroe

Ahmed

et al. 2020

J. Infrastruct. Syst.

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Wireless Smart Sensor Network System Using SmartBridge Sensor Nodes for Structural Health Monitoring of Existing Concrete Bridges

Cited by 6 publications

References 1 publication

Scalar Damage Modeling of Reinforced Concrete Beam Under Polarized Monotonic Stress Field Using Ultrasonic Pulses

Scalar Damage Modeling of Reinforced Concrete Beam Under Polarized Monotonic Stress Field Using Ultrasonic Pulses

Grading diagnosis of beam bridge support separation disease within one cluster based on the difference in the probability density function of the measured data

Smart Infrastructure: A Vision for the Role of the Civil Engineering Profession in Smart Cities

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