Smart health monitoring system for a prestressed concrete bridge

Wang, Xuan; Wang, Ming L.; Zhao, Yang; Chen, Han; Zhou, Lily L.

doi:10.1117/12.540353

Cited by 7 publications

(6 citation statements)

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“…Such systems could also be viewed as being partially wireless. For the interested reader, a representative list of researchers who have experimented with wireless communications between instrumented structures and the remotely located structural manager/owner is as follows: Oshima et al (2000); Mufti (2003); Sereci et al (2003); Elgamal et al (2003); Karbhari et al (2003); Wang et al (2004); Tan et al (2004).…”

Section: Field Deployment In Civil Infrastructure Systemsmentioning

confidence: 99%

A Summary Review of Wireless Sensors and Sensor Networks for Structural Health Monitoring

Lynch¹

2006

The Shock and Vibration Digest

1,267

718

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In recent years, there has been an increasing interest in the adoption of emerging sensing technologies for instrumentation within a variety of structural systems. Wireless sensors and sensor networks are emerging as sensing paradigms that the structural engineering field has begun to consider as substitutes for traditional tethered monitoring systems. A benefit of wireless structural monitoring systems is that they are inexpensive to install because extensive wiring is no longer required between sensors and the data acquisition system. Researchers are discovering that wireless sensors are an exciting technology that should not be viewed as simply a substitute for traditional tethered monitoring systems. Rather, wireless sensors can play greater roles in the processing of structural response data; this feature can be utilized to screen data for signs of structural damage. Also, wireless sensors have limitations that require novel system architectures and modes of operation. This paper is intended to serve as a summary review of the collective experience the structural engineering community has gained from the use of wireless sensors and sensor networks for monitoring structural performance and health.

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Section: Field Deployment In Civil Infrastructure Systemsmentioning

confidence: 99%

A Summary Review of Wireless Sensors and Sensor Networks for Structural Health Monitoring

Lynch¹

2006

The Shock and Vibration Digest

1,267

718

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“…Figure (14) illustrates the recorded RMSD values for panels (1,1), (1,2) and (1,3) acquired from parallel interrogation of each panel at high frequency range. These values are well representative for damage existence in both panels in addition to the severity of each case of damage.…”

Section: Iii3 Results and Discussionmentioning

confidence: 99%

“…The damage simulation included three levels (sever, medium and light). Damage Case 1: Two locations are damaged in panels (1,1) and (1,3) as shown in Figure (12), each of which dimension is 10×10 mm as the stiffness of the first layer is reduced by 95%. Both simulated damage locations are considered as incipient damages.…”

Section: Damage Identification Cases Single Site Damage Casesmentioning

confidence: 99%

“…Damage Case 2: Two locations are damaged in panels (1,1) and (1,3) as shown in Figure (13), the first location at panel (1,1) has an area equal to 10×10 mm and the second location at panel (1,3) has an area of 30 ×30 mm as the stiffness of the first four layers for both locations are reduced by 95%. The first simulated damage location at panel (1,1) is considered as incipient damage, while the second simulated damage location at panel (1,3) is considered as moderate damage.…”

Section: Damage Identification Cases Single Site Damage Casesmentioning

confidence: 99%

“…Shimmizu Corporation 65-story 280-m tower, Singapore, was instrumented with monitoring system includes biaxial accelerometers erected in basement and roof levels in addition to a pair of anemometer to record wind and vibration response [2] . Among the SHM systems applied for a prestressed concrete bridge, a network of conventional strain gauges applied on Kishwaukee bridge, Illinois, the USA to provide health report via a real-time data acquisition and analysis [3] . Integrated and sustainable fatigue monitoring system was used in the European pressurized water reactor [4] .…”

Section: Introductionmentioning

confidence: 99%

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An integrated algorithm for structural health monitoring of composite plate using electromechanical impedance

Abdelzaher

Salem

2020

Eng. Sci. and Milit. Techno.

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The extraordinary development of structural materials, such as composite materials, and structural configurations necessitated establishing robust and continuous structural health monitoring (SHM) systems. The aim of the present work is to establish an integrated SHM algorithm to remotely detect damage starting from the insipient level for structures made of composite materials. It depends on the electromechanical impedance (EMI) technique using Piezoelectric Waver Active Sensor (PWAS). The algorithm procedure includes several subroutines developed to ensure the identification of real damage and relatively define its location and severity precisely. The performance and the reliability of the proposed algorithm are verified through numerical simulations carried out through finite element modeling of the monitored structure using ANSYS software, since it is available to do multi-physics modeling to simulate coupling characteristics of piezoelectricity. MATLAB codes are developed to prepare and process the obtained numerical data in order to implement the algorithm subroutines. Several numerical simulation studies are carried out to verify the proposed algorithm procedure and measure its performance. Carbon woven fiber composite plates equipped with a matrix of PWASs are assigned as test articles. Numerically, the algorithm was shown to be beneficial to detect two different-location of insipient damages and two different-location of insipient and moderate damages, as well as to locate these damages with accuracy more than 80%. Reliability of data obtained from physical operating system was guaranteed using sensors diagnostic check in advance to SHM process.

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Loads and Temperature Effects on a Bridge

Wang

2008

Encyclopedia of Structural Health Monitoring

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A number of efforts had been made to instrument bridges for the purpose of structural monitoring and assessment. The outcome of these efforts, as gauged by advances in the understanding of the definition of structural damage and their role in sensor selection as well as in the design of cost and data‐effective monitoring systems, has itself been difficult to assess. The authors experience with the design, calibration, and operation of a monitoring system for the Kishwaukee Bridge in Illinois has provided several lessons that bear upon these concerns. The systems have performed well in providing a continuous, low‐cost monitoring platform for bridge engineers with immediate relevant information. Specifically, load and environmental effects are addressed in detail.

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Smart health monitoring system for a prestressed concrete bridge

Cited by 7 publications

References 0 publications

A Summary Review of Wireless Sensors and Sensor Networks for Structural Health Monitoring

A Summary Review of Wireless Sensors and Sensor Networks for Structural Health Monitoring

An integrated algorithm for structural health monitoring of composite plate using electromechanical impedance

Loads and Temperature Effects on a Bridge

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