The Experts below are selected from a list of 19287 Experts worldwide ranked by ideXlab platform
P. Frank Pai - One of the best experts on this subject based on the ideXlab platform.
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Time-frequency characterization of lamb waves for material evaluation and Damage Inspection of plates
Mechanical Systems and Signal Processing, 2015Co-Authors: P. Frank Pai, Haoguang Deng, Mannur J. SundaresanAbstract:Abstract Guided wave-based technique is one major approach for Damage Inspection of structures. To detect a small Damage, an elastic wave׳s wavelength needs to be in the order of the Damage size and hence the frequency needs to be high. Unfortunately, high-frequency wave dynamics always involves complicated wave reflection, refraction and diffraction, and it is difficult to separate them in order to perform detailed examination and system identification. This paper investigates dynamic characteristics of Lamb waves in plates in order to be used for material evaluation and Damage Inspection of thin-walled structures. A one-dimensional finite-element modeling and analysis technique is developed for computing dispersion curves and all symmetric and antisymmetric modes of Lamb waves in isotropic and multi-layer plates. Moreover, the conjugate-pair decomposition (CPD) method is introduced for time-frequency analysis of propagating Lamb waves. Results show that, under a k-cycle sine-burst excitation at a plate׳s edge, the time-varying frequency of a surface point׳s response can reveal the Lamb wave propagating inside the plate being a symmetric or an antisymmetric mode. The frequency of the measured wave packet increases from the wave front to the trailing edge if it is a symmetric mode, and the frequency decreases from the wave front to the trailing edge if it is an antisymmetric mode. Moreover, interaction of two different wave packets results in a peak in the time-frequency curve. These characteristics can be used for accurate separation of wave packets and identification of different wave speeds to enable fast and accurate material evaluation and Damage Inspection. Transient finite-element analysis of Lamb waves in finite plates with crack/delamination show that k-cycle sine-burst probing waves are good agents for guided wave-based Damage Inspection of structures. Although crack and delamination introduce different waves into and complicate the probing wave packet, time-frequency analysis makes it possible to separate such Damage-induced small waves from the probing wave and enable fast and accurate Damage Inspection of thin-walled structures.
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Dynamic characteristics and vibration-based Damage Inspection of structures with actual fatigue cracks
Proceedings of SPIE, 2013Co-Authors: P. Frank Pai, Jun Liu, Mannur J. SundaresanAbstract:This paper presents dynamic characteristics and Damage Inspection of beams with actual fatigue cracks by using a boundary-effect evaluation method (BEEM) to perform space-wavenumber analysis of operational deflection shapes (ODSs) and a conjugate-pair decomposition (CPD) method to perform time-frequency analysis of dynamic responses of some points to a harmonic excitation. BEEM is for locating and estimating small structural Damage by processing ODSs measured by a full-field measurement system (e.g., a scanning laser vibrometer or a camera-based motion measurement system). BEEM is a nondestructive spatial-domain method based on area-by-area processing of ODSs and it works without using any structural model or historical data for comparison. CPD uses adaptive windowed regular harmonics and function orthogonality to perform time-frequency analysis of time traces by extracting time-localized regular and/or distorted harmonics. Both BEEM and CPD are methods for local spectral analysis based on local, adaptive curve fitting. Numerical simulations and experimental results show that dynamic characteristics of beams with actual fatigue cracks are different from those of beams with open artificial cracks. Moreover, results show that the combination of BEEM and CPD for space-wavenumber and time-frequency analysis provides an accurate tool for Damage Inspection of thin-walled structures with actual cracks.
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Identification of nonlinearities for Damage Inspection of thin-walled structures
Proceedings of SPIE, 2012Co-Authors: P. Frank Pai, Mannur J. Sundaresan, Bao Anh NguyenAbstract:This paper shows that time-frequency analysis is most appropriate for nonlinearity identification, and presents advanced signal processing techniques that combine time-frequency decomposition and perturbation methods for parametric and non-parametric identification of thin-walled structures and other dynamical systems. Hilbert-Huang transform (HHT) is a recent data-driven adaptive time-frequency analysis technique that combines the use of empirical mode decomposition (EMD) and Hilbert transform (HT). Because EMD does not use predetermined basis functions and function orthogonality for component extraction, HHT provides more concise component decomposition and more accurate timefrequency analysis than the short-time Fourier transform and wavelet transform for extraction of system characteristics and nonlinearities. However, HHT's accuracy seriously suffers from the end effect caused by the discontinuity-induced Gibbs' phenomenon. Moreover, because HHT requires a long set of data obtained by high-frequency sampling, it is not appropriate for online frequency tracking. This paper presents a conjugate-pair decomposition (CPD) method that requires only a few recent data points sampled at a low frequency for sliding-window point-by-point adaptive timefrequency analysis and can be used for online frequency tracking. To improve adaptive time-frequency analysis, a methodology is developed by combining HHT and CPD for noise filtering in the time domain, reducing the end effect, and dissolving other mathematical and numerical problems in time-frequency analysis. For parametric identification of a nonlinear system, the methodology processes one steady-state response and/or one free damped transient response and uses amplitude-dependent dynamic characteristics derived from perturbation analysis to determine the type and order of nonlinearity and system parameters. For non-parametric identification, the methodology uses the maximum displacement states to determine the displacement-stiffness curve and the maximum velocity states to determine the velocity-damping curve. Numerical simulations and experimental verifications of several nonlinear discrete and continuous systems show that the proposed methodology can provide accurate parametric and non-parametric identifications of different nonlinear dynamical systems.
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Space–wavenumber and time–frequency analysis for Damage Inspection of thin-walled structures:
Structural Health Monitoring-an International Journal, 2012Co-Authors: P. Frank Pai, Mannur J. SundaresanAbstract:This article presents a dynamics-based methodology for accurate Damage Inspection of thin-walled structures by combining a boundary effect evaluation method (BEEM) for space–wavenumber analysis of measured operational deflection shapes (ODSs) and a conjugate-pair decomposition (CPD) method for time–frequency analysis of time traces of measured points. BEEM is for locating and estimating small structural Damages by processing ODSs measured by a full-field measurement system (e.g. a scanning laser vibrometer or a camera-based motion measurement system). BEEM is a nondestructive spatial domain method based on sliding-window processing of ODSs, and it works without using any structural model or historical data for comparison. Similar to the short-time Fourier transform and wavelet transform, CPD uses adaptive windowed regular harmonics and function orthogonality to perform time–frequency analysis of time traces by extracting time-localized regular and/or distorted harmonics. Both BEEM and CPD are local spectr...
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Time-frequency and space-wavenumber analysis for Damage Inspection of thin-walled structures
Proceedings of SPIE, 2011Co-Authors: P. Frank Pai, Mannur J. SundaresanAbstract:This paper presents a dynamics-based methodology for accurate Damage Inspection of thin-walled structures by combining a boundary-effect evaluation method (BEEM) for space-wavenumber analysis of measured operational deflection shapes (ODSs) and a conjugate-pair decomposition (CPD) method for time-frequency analysis of time traces of measured points. BEEM is for locating and estimating small structural Damage by processing ODSs measured by a full-field measurement system (e.g., a scanning laser vibrometer or a camera-based motion measurement system). BEEM is a nondestructive spatial-domain method based on area-by-area processing of ODSs and it works without using any structural model or historical data for comparison. Similar to the short-time Fourier transform and wavelet transform, CPD uses adaptive windowed regular harmonics and function orthogonality to perform time-frequency analysis of time traces by extracting time-localized regular and/or distorted harmonics. Both BEEM and CPD are local spectral analysis based on local, adaptive curve fitting. The first estimation of the wavenumber for BEEM and the frequency for CPD is obtained by using a four-point Teager-Kaiser algorithm based on the use of finite difference. Numerical simulations and experimental results show that the combination of BEEM and CPD for space-wavenumber and time-frequency analysis provides an accurate tool for Damage Inspection of thin-walled structures.
Mannur J. Sundaresan - One of the best experts on this subject based on the ideXlab platform.
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Time-frequency characterization of lamb waves for material evaluation and Damage Inspection of plates
Mechanical Systems and Signal Processing, 2015Co-Authors: P. Frank Pai, Haoguang Deng, Mannur J. SundaresanAbstract:Abstract Guided wave-based technique is one major approach for Damage Inspection of structures. To detect a small Damage, an elastic wave׳s wavelength needs to be in the order of the Damage size and hence the frequency needs to be high. Unfortunately, high-frequency wave dynamics always involves complicated wave reflection, refraction and diffraction, and it is difficult to separate them in order to perform detailed examination and system identification. This paper investigates dynamic characteristics of Lamb waves in plates in order to be used for material evaluation and Damage Inspection of thin-walled structures. A one-dimensional finite-element modeling and analysis technique is developed for computing dispersion curves and all symmetric and antisymmetric modes of Lamb waves in isotropic and multi-layer plates. Moreover, the conjugate-pair decomposition (CPD) method is introduced for time-frequency analysis of propagating Lamb waves. Results show that, under a k-cycle sine-burst excitation at a plate׳s edge, the time-varying frequency of a surface point׳s response can reveal the Lamb wave propagating inside the plate being a symmetric or an antisymmetric mode. The frequency of the measured wave packet increases from the wave front to the trailing edge if it is a symmetric mode, and the frequency decreases from the wave front to the trailing edge if it is an antisymmetric mode. Moreover, interaction of two different wave packets results in a peak in the time-frequency curve. These characteristics can be used for accurate separation of wave packets and identification of different wave speeds to enable fast and accurate material evaluation and Damage Inspection. Transient finite-element analysis of Lamb waves in finite plates with crack/delamination show that k-cycle sine-burst probing waves are good agents for guided wave-based Damage Inspection of structures. Although crack and delamination introduce different waves into and complicate the probing wave packet, time-frequency analysis makes it possible to separate such Damage-induced small waves from the probing wave and enable fast and accurate Damage Inspection of thin-walled structures.
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Dynamic characteristics and vibration-based Damage Inspection of structures with actual fatigue cracks
Proceedings of SPIE, 2013Co-Authors: P. Frank Pai, Jun Liu, Mannur J. SundaresanAbstract:This paper presents dynamic characteristics and Damage Inspection of beams with actual fatigue cracks by using a boundary-effect evaluation method (BEEM) to perform space-wavenumber analysis of operational deflection shapes (ODSs) and a conjugate-pair decomposition (CPD) method to perform time-frequency analysis of dynamic responses of some points to a harmonic excitation. BEEM is for locating and estimating small structural Damage by processing ODSs measured by a full-field measurement system (e.g., a scanning laser vibrometer or a camera-based motion measurement system). BEEM is a nondestructive spatial-domain method based on area-by-area processing of ODSs and it works without using any structural model or historical data for comparison. CPD uses adaptive windowed regular harmonics and function orthogonality to perform time-frequency analysis of time traces by extracting time-localized regular and/or distorted harmonics. Both BEEM and CPD are methods for local spectral analysis based on local, adaptive curve fitting. Numerical simulations and experimental results show that dynamic characteristics of beams with actual fatigue cracks are different from those of beams with open artificial cracks. Moreover, results show that the combination of BEEM and CPD for space-wavenumber and time-frequency analysis provides an accurate tool for Damage Inspection of thin-walled structures with actual cracks.
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Identification of nonlinearities for Damage Inspection of thin-walled structures
Proceedings of SPIE, 2012Co-Authors: P. Frank Pai, Mannur J. Sundaresan, Bao Anh NguyenAbstract:This paper shows that time-frequency analysis is most appropriate for nonlinearity identification, and presents advanced signal processing techniques that combine time-frequency decomposition and perturbation methods for parametric and non-parametric identification of thin-walled structures and other dynamical systems. Hilbert-Huang transform (HHT) is a recent data-driven adaptive time-frequency analysis technique that combines the use of empirical mode decomposition (EMD) and Hilbert transform (HT). Because EMD does not use predetermined basis functions and function orthogonality for component extraction, HHT provides more concise component decomposition and more accurate timefrequency analysis than the short-time Fourier transform and wavelet transform for extraction of system characteristics and nonlinearities. However, HHT's accuracy seriously suffers from the end effect caused by the discontinuity-induced Gibbs' phenomenon. Moreover, because HHT requires a long set of data obtained by high-frequency sampling, it is not appropriate for online frequency tracking. This paper presents a conjugate-pair decomposition (CPD) method that requires only a few recent data points sampled at a low frequency for sliding-window point-by-point adaptive timefrequency analysis and can be used for online frequency tracking. To improve adaptive time-frequency analysis, a methodology is developed by combining HHT and CPD for noise filtering in the time domain, reducing the end effect, and dissolving other mathematical and numerical problems in time-frequency analysis. For parametric identification of a nonlinear system, the methodology processes one steady-state response and/or one free damped transient response and uses amplitude-dependent dynamic characteristics derived from perturbation analysis to determine the type and order of nonlinearity and system parameters. For non-parametric identification, the methodology uses the maximum displacement states to determine the displacement-stiffness curve and the maximum velocity states to determine the velocity-damping curve. Numerical simulations and experimental verifications of several nonlinear discrete and continuous systems show that the proposed methodology can provide accurate parametric and non-parametric identifications of different nonlinear dynamical systems.
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Space–wavenumber and time–frequency analysis for Damage Inspection of thin-walled structures:
Structural Health Monitoring-an International Journal, 2012Co-Authors: P. Frank Pai, Mannur J. SundaresanAbstract:This article presents a dynamics-based methodology for accurate Damage Inspection of thin-walled structures by combining a boundary effect evaluation method (BEEM) for space–wavenumber analysis of measured operational deflection shapes (ODSs) and a conjugate-pair decomposition (CPD) method for time–frequency analysis of time traces of measured points. BEEM is for locating and estimating small structural Damages by processing ODSs measured by a full-field measurement system (e.g. a scanning laser vibrometer or a camera-based motion measurement system). BEEM is a nondestructive spatial domain method based on sliding-window processing of ODSs, and it works without using any structural model or historical data for comparison. Similar to the short-time Fourier transform and wavelet transform, CPD uses adaptive windowed regular harmonics and function orthogonality to perform time–frequency analysis of time traces by extracting time-localized regular and/or distorted harmonics. Both BEEM and CPD are local spectr...
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Time-frequency and space-wavenumber analysis for Damage Inspection of thin-walled structures
Proceedings of SPIE, 2011Co-Authors: P. Frank Pai, Mannur J. SundaresanAbstract:This paper presents a dynamics-based methodology for accurate Damage Inspection of thin-walled structures by combining a boundary-effect evaluation method (BEEM) for space-wavenumber analysis of measured operational deflection shapes (ODSs) and a conjugate-pair decomposition (CPD) method for time-frequency analysis of time traces of measured points. BEEM is for locating and estimating small structural Damage by processing ODSs measured by a full-field measurement system (e.g., a scanning laser vibrometer or a camera-based motion measurement system). BEEM is a nondestructive spatial-domain method based on area-by-area processing of ODSs and it works without using any structural model or historical data for comparison. Similar to the short-time Fourier transform and wavelet transform, CPD uses adaptive windowed regular harmonics and function orthogonality to perform time-frequency analysis of time traces by extracting time-localized regular and/or distorted harmonics. Both BEEM and CPD are local spectral analysis based on local, adaptive curve fitting. The first estimation of the wavenumber for BEEM and the frequency for CPD is obtained by using a four-point Teager-Kaiser algorithm based on the use of finite difference. Numerical simulations and experimental results show that the combination of BEEM and CPD for space-wavenumber and time-frequency analysis provides an accurate tool for Damage Inspection of thin-walled structures.
Sheng Chen - One of the best experts on this subject based on the ideXlab platform.
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CFRP barely visible impact Damage Inspection based on an ultrasound wave distortion indicator
Composites Part B-engineering, 2019Co-Authors: Xiaofei Zhang, Sheng Chen, Shuming Yang, Shigang Zhang, Zhou DeqiangAbstract:Abstract The impact Damage of carbon-fiber-reinforced polymers (CFRPs) must be considered important in order to avoid catastrophic accidents. Low-velocity impact commonly results in barely visible impact Damages (BVIDs) in a CFRP component, and is impossible to be detected by visual Inspection or machine vision. To rapidly and effectively detect BVIDs in CFRPs, this work proposes a Damage Inspection method based on an ultrasound wave distortion indicator. The indicator reveals ultrasound higher harmonics, subharmonics, and self-modulation caused by local Damage in CFRPs. The experimental system was built after the proposed non-destructive testing (NDT) methodology was introduced. An intact CFRP plate specimen, and specimens with BVIDs and visible impact Damage (VID) were tested using the proposed method. The relationship between impact energies and the ultrasound wave distortion indicator was built. The proposed method could provide an effective Inspection means for assessing the impact Damage of CFRP materials.
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CFRP Impact Damage Inspection Based on Manifold Learning Using Ultrasonic Induced Thermography
IEEE Transactions on Industrial Informatics, 2019Co-Authors: Xiaofei Zhang, Yunze He, Tomasz Chady, Guiyun Tian, Hongjin Wang, Sheng ChenAbstract:Impact Damage, caused by low-energy impact, is inevitable during the whole life time of carbon fiber reinforced plastic (CFRP) material. However, the barely visible impact Damage (BVID) is difficult to be detected by visual methods. Ultrasonic thermography (UT) is an emerging nondestructive testing technique that visualizes Damage in thermal images captured by an infrared (IR) camera when the material is stimulated by ultrasound. However, noise and blurry edges around the high-temperature areas may cause confusion and lead to unreliable results in the thermal images of UT test. In this paper, an impact Damage Inspection method is proposed based on manifold learning for the CFRP material. Low-power ultrasonic excitation is used for this UT. The IR image sequences are processed as datasets in high-dimensional space. These datasets are reduced to lower dimensions by manifold learning to find the intrinsic structure in the two-dimensional manifold. Each dimension of the embedding manifold correlates highly with one degree of freedom underlying the original pixel: steady and random components. The steady component, which reflects the temperature rise caused by Damage, is used for VID and BVID detection. The experimental system was set up, and CFRP plate specimens with different impact Damage were tested. All the impact Damage could be detected and shown in reconstructed static image with little noise. The proposed method using image sequences could provide a visualized, reliable, and effective impact Damage Inspection and localization means for CFRP material during manufacturing and in service.
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CFRP Barely Visible Impact Damage Inspection Based on Nonlinear Ultrasound Signal Sparse Reconstruction
IEEE Sensors Journal, 2018Co-Authors: Xiaofei Zhang, Derong Luo, Xinpeng Zhang, Sheng Chen, Yonggang XiaoAbstract:In the whole life time of carbon fiber reinforced plastic (CFRP) component, it will inevitably suffer from low-energy impact (LEI) loads, which may lead to barely visible impact Damage (BVID). Thus, non-destructive testing of impact Damage has attracted more and more attention. In this paper, the detection of BVID in CFRP plates induced by LEI is investigated by means of nonlinear ultrasound with the help of signal sparse reconstruction with overcomplete dictionary obtained from the training of the acquired responses of the unDamaged component. A Damage Inspection and structural health monitoring (SHM) framework for the CFRP component is proposed. The intact CFRP plate specimen and specimens with 12- and 16-J BVID were tested using the proposed method. Experimental results have shown that all the BVIDs could be detected effectively using a short segment of response signal. The proposed method has potential application in instrumentation design for unsupervised Damage Inspection and SHM during daily maintain in the service of the CFRP material.
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Shared Excitation Based Nonlinear Ultrasound and Vibrothermography Testing for CFRP Barely Visible Impact Damage Inspection
IEEE Transactions on Industrial Informatics, 2018Co-Authors: Sheng Chen, Zhou Deqiang, Shoudao Huang, Pan WangAbstract:Barely visible impact Damage (BVID) is inevitable during either fabrication or lifetime of a carbon fiber reinforced plastic (CFRP) component. These flaws are usually difficult to be detected from the surface by visual Inspection or machine vision based on a charge-coupled device or CMOS. In order to solve the problems of low efficiency, low sensitivity, and small detection area of the existing nondestructive testing (NDT) for BVID in CFRP, this paper proposes for the first time the integrated nonlinear ultrasound (NU) and vibrothermography (VT) NDT based on the shared excitation sources. The experimental system was built after introducing the principle of shared excitation based NU&VT NDT. The CFRP plates with 5, 15, and 25 J visible impact Damage (VID) as well as 12 and 16 J BVID were tested using the integrated NU&VT. Experimental studies after signal processing have shown that all VID and BVID could be detected by the integrated NU&VT NDT, and the defection capability has a significant improvement after fast Fourier transform. The proposed method could provide a visualized and effective means for quality control and Inspection of large-scaled and complex shape key components in manufacturing process and in service.
Xiaofei Zhang - One of the best experts on this subject based on the ideXlab platform.
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CFRP barely visible impact Damage Inspection based on an ultrasound wave distortion indicator
Composites Part B-engineering, 2019Co-Authors: Xiaofei Zhang, Sheng Chen, Shuming Yang, Shigang Zhang, Zhou DeqiangAbstract:Abstract The impact Damage of carbon-fiber-reinforced polymers (CFRPs) must be considered important in order to avoid catastrophic accidents. Low-velocity impact commonly results in barely visible impact Damages (BVIDs) in a CFRP component, and is impossible to be detected by visual Inspection or machine vision. To rapidly and effectively detect BVIDs in CFRPs, this work proposes a Damage Inspection method based on an ultrasound wave distortion indicator. The indicator reveals ultrasound higher harmonics, subharmonics, and self-modulation caused by local Damage in CFRPs. The experimental system was built after the proposed non-destructive testing (NDT) methodology was introduced. An intact CFRP plate specimen, and specimens with BVIDs and visible impact Damage (VID) were tested using the proposed method. The relationship between impact energies and the ultrasound wave distortion indicator was built. The proposed method could provide an effective Inspection means for assessing the impact Damage of CFRP materials.
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CFRP Impact Damage Inspection Based on Manifold Learning Using Ultrasonic Induced Thermography
IEEE Transactions on Industrial Informatics, 2019Co-Authors: Xiaofei Zhang, Yunze He, Tomasz Chady, Guiyun Tian, Hongjin Wang, Sheng ChenAbstract:Impact Damage, caused by low-energy impact, is inevitable during the whole life time of carbon fiber reinforced plastic (CFRP) material. However, the barely visible impact Damage (BVID) is difficult to be detected by visual methods. Ultrasonic thermography (UT) is an emerging nondestructive testing technique that visualizes Damage in thermal images captured by an infrared (IR) camera when the material is stimulated by ultrasound. However, noise and blurry edges around the high-temperature areas may cause confusion and lead to unreliable results in the thermal images of UT test. In this paper, an impact Damage Inspection method is proposed based on manifold learning for the CFRP material. Low-power ultrasonic excitation is used for this UT. The IR image sequences are processed as datasets in high-dimensional space. These datasets are reduced to lower dimensions by manifold learning to find the intrinsic structure in the two-dimensional manifold. Each dimension of the embedding manifold correlates highly with one degree of freedom underlying the original pixel: steady and random components. The steady component, which reflects the temperature rise caused by Damage, is used for VID and BVID detection. The experimental system was set up, and CFRP plate specimens with different impact Damage were tested. All the impact Damage could be detected and shown in reconstructed static image with little noise. The proposed method using image sequences could provide a visualized, reliable, and effective impact Damage Inspection and localization means for CFRP material during manufacturing and in service.
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CFRP Barely Visible Impact Damage Inspection Based on Nonlinear Ultrasound Signal Sparse Reconstruction
IEEE Sensors Journal, 2018Co-Authors: Xiaofei Zhang, Derong Luo, Xinpeng Zhang, Sheng Chen, Yonggang XiaoAbstract:In the whole life time of carbon fiber reinforced plastic (CFRP) component, it will inevitably suffer from low-energy impact (LEI) loads, which may lead to barely visible impact Damage (BVID). Thus, non-destructive testing of impact Damage has attracted more and more attention. In this paper, the detection of BVID in CFRP plates induced by LEI is investigated by means of nonlinear ultrasound with the help of signal sparse reconstruction with overcomplete dictionary obtained from the training of the acquired responses of the unDamaged component. A Damage Inspection and structural health monitoring (SHM) framework for the CFRP component is proposed. The intact CFRP plate specimen and specimens with 12- and 16-J BVID were tested using the proposed method. Experimental results have shown that all the BVIDs could be detected effectively using a short segment of response signal. The proposed method has potential application in instrumentation design for unsupervised Damage Inspection and SHM during daily maintain in the service of the CFRP material.
Chandler Griffin - One of the best experts on this subject based on the ideXlab platform.
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cooperative Damage Inspection with unmanned surface vehicle and micro unmanned aerial vehicle at hurricane wilma
Intelligent Robots and Systems, 2006Co-Authors: Robin R Murphy, Sam Stover, Kevin Pratt, Chandler GriffinAbstract:On Oct 24, 2005, Hurricane Wilma made landfall at Cape Romano, Florida. Two days later, the Center for Robot-Assisted Search and Rescue (CRASAR) deployed an iSENSYS helicopter and an unmanned surface vehicle to survey Damage in parts of Marco Island, 11 miles from landfall. Assistance was provided by the National Science Foundation's industry/university cooperative research center on safety security rescue technologies. The AEOS-1 USV was prototype built for environmental science studies. It was modified to carry a Sound Metric Dual frequency IDentification SONar (DIDSON). The DIDSON was able to show the state of underwater structures, schools of small fish swimming, and find the railings from the collapsed section of a pier. This work validates the concept of using USVs and UAVs together for disaster response, suggests missions, and priorities for autonomy. Besides Damage Inspection, USV-UAV teams can find safe lanes of sea travel and to detect hazardous materials spills. In addition to providing situation awareness, the UAV can serve as a wireless network relay. Inspection of Damage to seawalls, docks, and bridges requires vision above the waterline as well as below poses a new type of Simultaneous Localization and Mapping (SLAM).
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IROS - Cooperative Damage Inspection with Unmanned Surface Vehicle and Micro Unmanned Aerial Vehicle at Hurricane Wilma
2006 IEEE RSJ International Conference on Intelligent Robots and Systems, 2006Co-Authors: Robin R Murphy, Sam Stover, Kevin Pratt, Chandler GriffinAbstract:On Oct 24, 2005, Hurricane Wilma made landfall at Cape Romano, Florida. Two days later, the Center for Robot-Assisted Search and Rescue (CRASAR) deployed an iSENSYS helicopter and an unmanned surface vehicle to survey Damage in parts of Marco Island, 11 miles from landfall. Assistance was provided by the National Science Foundation's industry/university cooperative research center on safety security rescue technologies. The AEOS-1 USV was prototype built for environmental science studies. It was modified to carry a Sound Metric Dual frequency IDentification SONar (DIDSON). The DIDSON was able to show the state of underwater structures, schools of small fish swimming, and find the railings from the collapsed section of a pier. This work validates the concept of using USVs and UAVs together for disaster response, suggests missions, and priorities for autonomy. Besides Damage Inspection, USV-UAV teams can find safe lanes of sea travel and to detect hazardous materials spills. In addition to providing situation awareness, the UAV can serve as a wireless network relay. Inspection of Damage to seawalls, docks, and bridges requires vision above the waterline as well as below poses a new type of Simultaneous Localization and Mapping (SLAM).
