A structural displacement field reconstruction method is proposed to aim at the problems of deformation mon-itoring and displacement field reconstruction of flexible plate-like structures in the aerospace field.This m...A structural displacement field reconstruction method is proposed to aim at the problems of deformation mon-itoring and displacement field reconstruction of flexible plate-like structures in the aerospace field.This method combines the deep neural network model of the cross-layer connection structure with the fiber grating sensor network.This paper first introduces the principle of strain detection of fiber grating sensor,studies the mapping relationship between strain and displacement,and proposes a strain-displacement conversion model based on an improved neural network.Then the intelligent structure deformation monitoring system is built.By controlling the stepping distance of the motor to produce different deformations of the plate structure,the strain information and real displacement information are obtained based on the high-density fiber grating sensor network and the dial indicator array.Finally,based on the deformation prediction model obtained by training,the displacement field reconstruction of the structure under different deformation states is realized.Experimental results show that the mean absolute error of the deformation of the measuring points obtained by this method is less than 0.032 mm.This method is feasible in theory and practice and can be applied to the deformation monitoring of aerospace vehicle structures.展开更多
Fiber loop ringdown (FLRD) has demonstrated to be capable of sensing various quantities, such as chemical species, pressure, refractive index, strain, temperature, etc.;and it has high potential for the development of...Fiber loop ringdown (FLRD) has demonstrated to be capable of sensing various quantities, such as chemical species, pressure, refractive index, strain, temperature, etc.;and it has high potential for the development of a sensor network. In the present work, we describe design and development of three different types of FLRD sensors for water, cracks, and temperature sensing in concrete structures. All of the three aforementioned sensors were indigenously developed very recently in our laboratory and their capabilities of detecting the respective quantities were demonstrated. Later, all of the sensors were installed in a test grout cube for real-time monitoring. This work presents the results obtained in the laboratory-based experiments as well as the results from the real-time monitoring process in the test cube.展开更多
A Sb-Fe-carbon-fiber （CF） composite was prepared by a chemical vapor deposition （CVD） method with in situ growth of CFs us- ing Sb203/Fe2O3 as the precursor and acetylene （C2H2） as the carbon source. The Sb-Fe-C...A Sb-Fe-carbon-fiber （CF） composite was prepared by a chemical vapor deposition （CVD） method with in situ growth of CFs us- ing Sb203/Fe2O3 as the precursor and acetylene （C2H2） as the carbon source. The Sb-Fe-CF composite was characterized by X-ray diffraction （XRD）, field emission scanning electron microscopy （FESEM） and transmission electron microscopy （TEM）, and its electrochemical per- formance was investigated by galvanostatic charge-discharge cycling and electrochemical impedance spectroscopy. The Sb-Fe-CF composite shows a better cycling stability than the Sb-amorphous-carbon composite prepared by the same CVD method but using Sb2O3 as the precur- sor. Improvements in cycling stability of the Sb-Fe-CF composite can be attributed to the formation of three-dimensional network structure by CFs, which can connect Sb particles firmly. In addition, the CF layer can buffer the volume change effectively.展开更多
Structural health monitoring(SHM)in service has attracted increasing attention for years.Load localization on a structure is studied hereby.Two algorithms,i.e.,support vector machine(SVM)method and back propagation ne...Structural health monitoring(SHM)in service has attracted increasing attention for years.Load localization on a structure is studied hereby.Two algorithms,i.e.,support vector machine(SVM)method and back propagation neural network(BPNN)algorithm,are proposed to identify the loading positions individually.The feasibility of the suggested methods is evaluated through an experimental program on a carbon fiber reinforced plastic laminate.The experimental tests involve in application of four optical fiber-based sensors for strain measurement at discrete points.The sensors are specially designed fiber Bragg grating(FBG)in small diameter.The small-diameter FBG sensors are arrayed in 2-D on the laminate surface.The testing results indicate that the loading position could be detected by the proposed method.Using SVM method,the 2-D FBG sensors can approximate the loading location with maximum error less than 14 mm.However,the maximum localization error could be limited to about 1 mm by applying the BPNN algorithm.It is mainly because the convergence conditions(mean square error)can be set in advance,while SVM cannot.展开更多
基金This work was supported by National Natural Science Foundation of China(61903224,62073193 and 61873333)National Key Research and Development Project(2018YFE02013)Key Research and Development Plan of Shandong Province(2019TSLH0301 and 2019GHZ004).
文摘A structural displacement field reconstruction method is proposed to aim at the problems of deformation mon-itoring and displacement field reconstruction of flexible plate-like structures in the aerospace field.This method combines the deep neural network model of the cross-layer connection structure with the fiber grating sensor network.This paper first introduces the principle of strain detection of fiber grating sensor,studies the mapping relationship between strain and displacement,and proposes a strain-displacement conversion model based on an improved neural network.Then the intelligent structure deformation monitoring system is built.By controlling the stepping distance of the motor to produce different deformations of the plate structure,the strain information and real displacement information are obtained based on the high-density fiber grating sensor network and the dial indicator array.Finally,based on the deformation prediction model obtained by training,the displacement field reconstruction of the structure under different deformation states is realized.Experimental results show that the mean absolute error of the deformation of the measuring points obtained by this method is less than 0.032 mm.This method is feasible in theory and practice and can be applied to the deformation monitoring of aerospace vehicle structures.
文摘Fiber loop ringdown (FLRD) has demonstrated to be capable of sensing various quantities, such as chemical species, pressure, refractive index, strain, temperature, etc.;and it has high potential for the development of a sensor network. In the present work, we describe design and development of three different types of FLRD sensors for water, cracks, and temperature sensing in concrete structures. All of the three aforementioned sensors were indigenously developed very recently in our laboratory and their capabilities of detecting the respective quantities were demonstrated. Later, all of the sensors were installed in a test grout cube for real-time monitoring. This work presents the results obtained in the laboratory-based experiments as well as the results from the real-time monitoring process in the test cube.
基金supported by the Zijin Program of Zhejiang Universitythe Fundamental Research Funds for the Central Universities (No.2010QNA4003)+1 种基金the Ph.D. Program Foundation of the Ministry of Education of China (No.20100101120024)the Foundation of Education Office of Zhejiang Province, China (No.Y201016484)
文摘A Sb-Fe-carbon-fiber （CF） composite was prepared by a chemical vapor deposition （CVD） method with in situ growth of CFs us- ing Sb203/Fe2O3 as the precursor and acetylene （C2H2） as the carbon source. The Sb-Fe-CF composite was characterized by X-ray diffraction （XRD）, field emission scanning electron microscopy （FESEM） and transmission electron microscopy （TEM）, and its electrochemical per- formance was investigated by galvanostatic charge-discharge cycling and electrochemical impedance spectroscopy. The Sb-Fe-CF composite shows a better cycling stability than the Sb-amorphous-carbon composite prepared by the same CVD method but using Sb2O3 as the precur- sor. Improvements in cycling stability of the Sb-Fe-CF composite can be attributed to the formation of three-dimensional network structure by CFs, which can connect Sb particles firmly. In addition, the CF layer can buffer the volume change effectively.
基金supported by the National Natural Science Foundation of China(Nos.11402112,51405223)
文摘Structural health monitoring(SHM)in service has attracted increasing attention for years.Load localization on a structure is studied hereby.Two algorithms,i.e.,support vector machine(SVM)method and back propagation neural network(BPNN)algorithm,are proposed to identify the loading positions individually.The feasibility of the suggested methods is evaluated through an experimental program on a carbon fiber reinforced plastic laminate.The experimental tests involve in application of four optical fiber-based sensors for strain measurement at discrete points.The sensors are specially designed fiber Bragg grating(FBG)in small diameter.The small-diameter FBG sensors are arrayed in 2-D on the laminate surface.The testing results indicate that the loading position could be detected by the proposed method.Using SVM method,the 2-D FBG sensors can approximate the loading location with maximum error less than 14 mm.However,the maximum localization error could be limited to about 1 mm by applying the BPNN algorithm.It is mainly because the convergence conditions(mean square error)can be set in advance,while SVM cannot.
