A real-time active smart patch system for monitoring the integrity of bonded repair on an aircraft structure

Qing, Xinlin; Beard, Shawn; Kumar, Amrita; Hannum, Robert

doi:10.1088/0964-1726/15/3/n03

Cited by 54 publications

(37 citation statements)

References 17 publications

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“…The SMART Layer technology can offer a state of the art solution to the current problems associated with the structural inspection and safety of high value military assets. It can be applied to a variety of accessible and inaccessible structures with complex geometries [4][5][6][7][8][9][10]. However, a major drawback of the existing technology for real-time Structural Health Monitoring (SHM) is the requirement for external electrical power input from the vehicle power system.…”

Section: Introductionmentioning

confidence: 99%

Autonomous self-powered structural health monitoring system

Qing

Anton

Zhang

et al. 2010

Health Monitoring of Structural and Biological Systems 2010

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Structural health monitoring technology is perceived as a revolutionary method of determining the integrity of structures involving the use of multidisciplinary fields including sensors, materials, system integration, signal processing and interpretation. The core of the technology is the development of self-sufficient systems for the continuous monitoring, inspection and damage detection of structures with minimal labor involvement. A major drawback of the existing technology for real-time structural health monitoring is the requirement for external electrical power input. For some applications, such as missiles or combat vehicles in the field, this factor can drastically limit the use of the technology.Having an on-board electrical power source that is independent of the vehicle power system can greatly enhance the SHM system and make it a completely self-contained system. In this paper, using the SMART layer technology as a basis, an Autonomous Self-powered (ASP) Structural Health Monitoring (SHM) system has been developed to solve the major challenge facing the transition of SHM systems into field applications. The architecture of the self-powered SHM system was first designed. There are four major components included in the SHM system: SMART Layer with sensor network, low power consumption diagnostic hardware, rechargeable battery with energy harvesting device, and host computer with supporting software. A prototype of the integrated self-powered active SHM system was built for performance and functionality testing. Results from the evaluation tests demonstrated that a fully charged battery system is capable of powering the SHM system for active scanning up to 10 hours.

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Section: Introductionmentioning

confidence: 99%

Autonomous self-powered structural health monitoring system

Qing

Anton

Zhang

et al. 2010

Health Monitoring of Structural and Biological Systems 2010

Self Cite

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“…Detection Diagnostic, b. Damage Location [2], c. Damage Occurrence [3], d. Damage extent and e. Damage Quantification [3,4]. A great amount of research activity in this area can be found in Ref.…”

Section: Introductionmentioning

confidence: 99%

Damage quantification using smart patch system for hot spot monitoring

Banerjee

Beard

Martinez

2010

Health Monitoring of Structural and Biological Systems 2010

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Fatigue crack detection and quantification is by far the most challenging task in Structural Health Monitoring (SHM). In the past decade numerous techniques were developed to detect and quantify fatigue damages. Fatigue loading leads to fatigue crack development in metals and delamination growth in composites. It has been found that different techniques are suitable for different damage development. Hence, the selection of the appropriate analysis methodologies pertaining to different problems is crucial. At the same time there has been an effort to reduce the power requirement for data analysis. This in turn triggered the idea of developing low power damage detection algorithms. In this paper a comparison between different damage detection techniques are presented and problems with different materials and structural geometries are considered. Three damage detection techniques were selected and evaluated.

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“…Active wave propagation using piezoelectric sensors and actuators has been demonstrated to be effective for monitoring FRP materials. Sensor/actuator pairs have been integrated into surface bonded sensor patches (Cheng and Taheri, 2005), surface mounted wafer sensors (Giurgiutiu et al, 2003) and polyimide layers that are then embedded between individual laminae (Lin et al, 2001;Qing et al, 2006;Wu et al, 2006). While active wave propagation can provide accurate information on the integrity of the strengthening system, high density sensor/actuator pairs are required due to the short propagation distance of the excited waves.…”

Section: Introductionmentioning

confidence: 99%

Self-monitoring fiber reinforced polymer strengthening system for civil engineering infrastructures

et al. 2008

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Fiber reinforced polymer (FRP) materials are currently used for strengthening civil engineering infrastructures. The strengthening system is dependant on the bond characteristics of the FRP to the external surface of the structure to be effective in resisting the applied loads. This paper presents an innovative self-monitoring FRP strengthening system. The system consists of two components which can be embedded in FRP materials to monitor the global and local behavior of the strengthened structure respectively. The first component of the system is designed to evaluate the applied load acting on a structure based on elongation of the FRP layer along the entire span of the structure. Success of the global system has been demonstrated using a full-scale prestressed concrete bridge girder which was loaded up to failure. The test results indicate that this type of sensor can be used to accurately determine the load prior to failure within 15 percent of the measured value. The second sensor component consists of fiber Bragg grating sensors. The sensors were used to monitor the behavior of steel double-lap shear splices tested under tensile loading up to failure. The measurements were used to identify abnormal structural behavior such as epoxy cracking and FRP debonding. Test results were also compared to numerical values obtained from a three dimensional shear-lag model which was developed to predict the sensor response.

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A real-time active smart patch system for monitoring the integrity of bonded repair on an aircraft structure

Cited by 54 publications

References 17 publications

Autonomous self-powered structural health monitoring system

Autonomous self-powered structural health monitoring system

Damage quantification using smart patch system for hot spot monitoring

Self-monitoring fiber reinforced polymer strengthening system for civil engineering infrastructures

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