Crack monitoring plays a great role in modern structural health monitoring, however, most of the conventional crack inspections have disadvantages in terms of the accuracy, expense, reliability, durability and level o...Crack monitoring plays a great role in modern structural health monitoring, however, most of the conventional crack inspections have disadvantages in terms of the accuracy, expense, reliability, durability and level of instrumentation required. Thus, development of a simple and reliable crack inspection technique that allows continuous monitoring has been desired. In this paper, electrical potential technique and modern surface technology are employed together to develop a new structural surface crack monitoring method. A special crack monitoring coating sensor based on electrical potential technique was deposited on the hot spot of the structure by modern surface technology. The sensor consists of three layers： the isolated layer, the sensing layer and the protective layer. The isolated layer is prepared by anodic oxidation technology, the sensing layer is made of ion plated copper, and the protective layer is made of silicone. The thickness of each layer is at micrometer magnitude. The electrical conductivity of the sensor is very stable, and the fatigue performance of the specimen with or without coating sensor is nearly unchanged. The crack monitoring experiment result shows that there are two sudden rises of the coating sensor electrical potential values, corresponding to different stages of the crack initiation and propagation. Since the width of the surface coating sensor is only 0.5 mm, this crack monitoring sensor can detect the propagation of cracks less than 0.5 mm long. The method proposed takes the simplicity of electrical potential technique and can monitor surface crack of nearly all kinds of structures precisely. The results of this paper may form the basis of a new crack monitoring system.展开更多
In order to study the evolution laws during the development process of the coal face overburden rock mining-induced fissure,we studied the process of evolution of overburden rock mining-induced fissures and dynamicall...In order to study the evolution laws during the development process of the coal face overburden rock mining-induced fissure,we studied the process of evolution of overburden rock mining-induced fissures and dynamically quantitatively described its fractal laws,based on the high-precision microseismic monitoring method and the nonlinear Fractal Geometry Theory.The results show that:the overburden rock mining-induced fissure fractal dimension experiences two periodic change processes with the coal face advance,namely a Small→ Big→ Small process,which tends to be stable;the functional relationship between the extraction step distance and the overburden rock mining-induced fissure fractal dimension is a cubic curve.The results suggest that the fractal dimension reflects the evolution characteristics of the overburden rock mining-induced fissure,which can be used as an evaluation index of the stability of the overburden rock strata,and it provides theoretical guidance for stability analysis of the overburden rock strata,goaf roof control and the support movements in the mining face.展开更多
This article focuses on health monitoring of structures using multiple smart materials.In this research,two fiber-optic sensors,namely fiber Bragg grating(FBG)and fiber-optic polarimetric sensor(FOPS),are investigated...This article focuses on health monitoring of structures using multiple smart materials.In this research,two fiber-optic sensors,namely fiber Bragg grating(FBG)and fiber-optic polarimetric sensor(FOPS),are investigated for damage detection in the beam specimen.FBG is used for local strain measurement while FOPS is used for global strain measurement.Both FBG and FOPS show significant changes in the strain due to damages in the specimen.Also,at the center of the specimen,piezoelectric wafer active sensor(PWAS)is attached.The electromechanical admittance(EMA)signature of the specimen beam is recorded by PWAS.The changes in the amplitudes of the peaks obtained at various frequencies in this EMA signature are analyzed,and it is shown that the peak amplitudes respond differently to damages and to change in loading.Thus,multiple smart materials(FBG,FOPS,and PWAS)are used to get improved information on the health of the beam.展开更多
It was a challenge to monitor concrete structure crack under complex environmental action.To obtain conductive hydrogel material with higher stretchability,signal response sensitivity and stability to monitor concrete...It was a challenge to monitor concrete structure crack under complex environmental action.To obtain conductive hydrogel material with higher stretchability,signal response sensitivity and stability to monitor concrete structure cracking,the conductive hydrogel reinforced by different content of cellulose nanocrystals,which is called polyacrylic acid-cellulose nanocrystals(PAA-CNC),were developed in this paper.The performance improvement of PAA-CNC was studied by scanning electron microscope,resistance,uniaxial tensile and cyclic tensile test.Finally,the concrete crack monitoring accuracy of PAA-CNC was verified by three-point bend loading test.The result showed that combining cellulose nanocrystals with hydroxyl in conductive hydrogels can form uniformly dispersed micelles and three-dimensional network structure,which can increase the ionic conductive path and connection strength between molecules.When cellulose nanocrystals content of hydrogel was 0.12%,the effective strain sensing range and sensitivity within the range reached the maximum.When the content of cellulose nanocrystals was 0.12,the effective strain sensing range and sensitivity of PAA-CNC will reach maximum value.Compared with other contents of cellulose nanocrystals,PAA-CNC_(0.12)can produce a stable signal response when tested and quickly recover to the initial resistance after cyclic stretching.The crack width obtained by PAA-CNC_(0.12)does not exceed 5%of that obtained by digital image correlation equipment.展开更多
Nonlinear ultrasonic imaging techniques in pulse-echo configuration have recently shown their potential to allow the effective separation of nonlinear and linear features in a nonlinear image.In this study,two ultraso...Nonlinear ultrasonic imaging techniques in pulse-echo configuration have recently shown their potential to allow the effective separation of nonlinear and linear features in a nonlinear image.In this study,two ultrasonic phased arrays are implemented to produce an image of elastic nonlinearity through the parallel-sequential subtraction of the coherently scattered components in the through-transmission acoustic field at the transmission or subharmonic frequency.In parallel mode,a physical focus at each pixel is achieved by firing the transmitters with a predefined delay law.In sequential mode,each transmitter is fired in sequence and all the receivers are employed to capture the data simultaneously.This full matrix captured data can be post-processed and focused synthetically at the target area.The images of parallel focusing and sequential focusing are expected to be linearly identical and hence any differences remained on the subtracted image can be related to the nonlinearities arising from the defects.Therefore,the imaging metric here is defined as the difference between parallel and sequentially focused amplitudes obtained from forward coherently scattered fields at each target point.Additionally,the negative influences due to the instrumentation nonlinearities are investigated by studying the remaining relative phase and amplitude at undamaged pixels.A compensation method is implemented to suppress these noises,significantly enhancing the selectivity of nonlinear scattering features.The proposed techniques are then implemented to monitor fatigue crack growth in order to explore the capability of these methods as measures of elastic nonlinearity induced by different sizes of small closed cracks.The promising results suggest that nonlinear imaging can be used to monitor crack growth and improve the detectability at early stages.展开更多
基金supported by National Hi-tech Research and Development Program of China (863 Program, Grant No. 2009AA03Z103)Scientific Research Foundation for the Returned Overseas Chinese Scholars of Ministry of Education of China (Grant No. [2006]331)
文摘Crack monitoring plays a great role in modern structural health monitoring, however, most of the conventional crack inspections have disadvantages in terms of the accuracy, expense, reliability, durability and level of instrumentation required. Thus, development of a simple and reliable crack inspection technique that allows continuous monitoring has been desired. In this paper, electrical potential technique and modern surface technology are employed together to develop a new structural surface crack monitoring method. A special crack monitoring coating sensor based on electrical potential technique was deposited on the hot spot of the structure by modern surface technology. The sensor consists of three layers： the isolated layer, the sensing layer and the protective layer. The isolated layer is prepared by anodic oxidation technology, the sensing layer is made of ion plated copper, and the protective layer is made of silicone. The thickness of each layer is at micrometer magnitude. The electrical conductivity of the sensor is very stable, and the fatigue performance of the specimen with or without coating sensor is nearly unchanged. The crack monitoring experiment result shows that there are two sudden rises of the coating sensor electrical potential values, corresponding to different stages of the crack initiation and propagation. Since the width of the surface coating sensor is only 0.5 mm, this crack monitoring sensor can detect the propagation of cracks less than 0.5 mm long. The method proposed takes the simplicity of electrical potential technique and can monitor surface crack of nearly all kinds of structures precisely. The results of this paper may form the basis of a new crack monitoring system.
基金Financial support for this work,provided by the National Natural Science Foundation of China(No.51304154)the Natural Science Foundation Anhui Province(No.1408085MKL92)
文摘In order to study the evolution laws during the development process of the coal face overburden rock mining-induced fissure,we studied the process of evolution of overburden rock mining-induced fissures and dynamically quantitatively described its fractal laws,based on the high-precision microseismic monitoring method and the nonlinear Fractal Geometry Theory.The results show that:the overburden rock mining-induced fissure fractal dimension experiences two periodic change processes with the coal face advance,namely a Small→ Big→ Small process,which tends to be stable;the functional relationship between the extraction step distance and the overburden rock mining-induced fissure fractal dimension is a cubic curve.The results suggest that the fractal dimension reflects the evolution characteristics of the overburden rock mining-induced fissure,which can be used as an evaluation index of the stability of the overburden rock strata,and it provides theoretical guidance for stability analysis of the overburden rock strata,goaf roof control and the support movements in the mining face.
基金The authors acknowledge the financial support from NTU,Singapore.
文摘This article focuses on health monitoring of structures using multiple smart materials.In this research,two fiber-optic sensors,namely fiber Bragg grating(FBG)and fiber-optic polarimetric sensor(FOPS),are investigated for damage detection in the beam specimen.FBG is used for local strain measurement while FOPS is used for global strain measurement.Both FBG and FOPS show significant changes in the strain due to damages in the specimen.Also,at the center of the specimen,piezoelectric wafer active sensor(PWAS)is attached.The electromechanical admittance(EMA)signature of the specimen beam is recorded by PWAS.The changes in the amplitudes of the peaks obtained at various frequencies in this EMA signature are analyzed,and it is shown that the peak amplitudes respond differently to damages and to change in loading.Thus,multiple smart materials(FBG,FOPS,and PWAS)are used to get improved information on the health of the beam.
基金supported by the National Natural Science Foundation of China(Grant No.52378443).
文摘It was a challenge to monitor concrete structure crack under complex environmental action.To obtain conductive hydrogel material with higher stretchability,signal response sensitivity and stability to monitor concrete structure cracking,the conductive hydrogel reinforced by different content of cellulose nanocrystals,which is called polyacrylic acid-cellulose nanocrystals(PAA-CNC),were developed in this paper.The performance improvement of PAA-CNC was studied by scanning electron microscope,resistance,uniaxial tensile and cyclic tensile test.Finally,the concrete crack monitoring accuracy of PAA-CNC was verified by three-point bend loading test.The result showed that combining cellulose nanocrystals with hydroxyl in conductive hydrogels can form uniformly dispersed micelles and three-dimensional network structure,which can increase the ionic conductive path and connection strength between molecules.When cellulose nanocrystals content of hydrogel was 0.12%,the effective strain sensing range and sensitivity within the range reached the maximum.When the content of cellulose nanocrystals was 0.12,the effective strain sensing range and sensitivity of PAA-CNC will reach maximum value.Compared with other contents of cellulose nanocrystals,PAA-CNC_(0.12)can produce a stable signal response when tested and quickly recover to the initial resistance after cyclic stretching.The crack width obtained by PAA-CNC_(0.12)does not exceed 5%of that obtained by digital image correlation equipment.
基金the Young Talent Support Program of China Association for Science and Technology(Grant No.[2020]No.87)the Science and Technology Major Project of Anhui Province(Grant No.201903a05020010)+2 种基金the Key Research and Development Plan of Anhui Province(Grant No.202004a05020003)the Anhui Provincial Natural Science Foundation(Grant No.2008085J24)the Doctoral Science and Technology Foundation of Hefei General Machinery Research Institute(Grant No.2019010381)。
文摘Nonlinear ultrasonic imaging techniques in pulse-echo configuration have recently shown their potential to allow the effective separation of nonlinear and linear features in a nonlinear image.In this study,two ultrasonic phased arrays are implemented to produce an image of elastic nonlinearity through the parallel-sequential subtraction of the coherently scattered components in the through-transmission acoustic field at the transmission or subharmonic frequency.In parallel mode,a physical focus at each pixel is achieved by firing the transmitters with a predefined delay law.In sequential mode,each transmitter is fired in sequence and all the receivers are employed to capture the data simultaneously.This full matrix captured data can be post-processed and focused synthetically at the target area.The images of parallel focusing and sequential focusing are expected to be linearly identical and hence any differences remained on the subtracted image can be related to the nonlinearities arising from the defects.Therefore,the imaging metric here is defined as the difference between parallel and sequentially focused amplitudes obtained from forward coherently scattered fields at each target point.Additionally,the negative influences due to the instrumentation nonlinearities are investigated by studying the remaining relative phase and amplitude at undamaged pixels.A compensation method is implemented to suppress these noises,significantly enhancing the selectivity of nonlinear scattering features.The proposed techniques are then implemented to monitor fatigue crack growth in order to explore the capability of these methods as measures of elastic nonlinearity induced by different sizes of small closed cracks.The promising results suggest that nonlinear imaging can be used to monitor crack growth and improve the detectability at early stages.
