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Digital image correlation-based structural state detection through deep learning

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 1,   Pages 45-56 doi: 10.1007/s11709-021-0777-x

Abstract: The digital image correlation (DIC) technology was utilized to collect vibration information of an actual

Keywords： structural state detection     deep learning     digital image correlation     vibration signal     steel frame    

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Deformation field and crack analyses of concrete using digital image correlation method

Yijie HUANG, Xujia HE, Qing WANG, Jianzhuang XIAO

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 5,   Pages 1183-1199 doi: 10.1007/s11709-019-0545-3

Abstract: deformation distribution and crack propagation of concrete under axial compression was conducted by the digitalimage correlation (DIC) method.

Keywords： deformation filed distribution     crack development     digital image correlation method     mechanical properties    

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fracture process in forta and polypropylene fiber-reinforced concrete using experimental analysis and digitalimage correlation

Frontiers of Structural and Civil Engineering   Pages 1633-1652 doi: 10.1007/s11709-022-0876-3

Abstract: PP) fiber-reinforced concrete under the uniaxial compressive loading using experimental analysis and digitalimage correlation (DIC) on the surface displacement.

Keywords： fiber-reinforced concrete     forta-ferro and polypropylene fiber     fracture process     cracking behavior     digitalimage correlation    

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Long term performance of recycled concrete beams with different water–cement ratio and recycled aggregate replacement rate

Frontiers of Structural and Civil Engineering   Pages 302-315 doi: 10.1007/s11709-022-0803-7

Abstract: bearing capacity and the strain nephogram of samples under different loads were obtained using the DigitalImage Correlation (DIC) method, and a self-made gravity loading experimental device was used for long-term

Keywords： recycled concrete     beam     the replacement rate of recycled coarse aggregate     water–cement ratio     digitalimage correlation    

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Crack evolution of soft–hard composite layered rock-like specimens with two fissures under uniaxial compression

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 6,   Pages 1372-1389 doi: 10.1007/s11709-021-0772-2

Abstract: Acoustic emission and digital image correlation were used to study the spatiotemporal evolution characteristics

Keywords： soft−hard composite layered rock mass     double cracks     crack evolution     acoustic emission     digital imagecorrelation    

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Strengthening of the concrete face slabs of dams using sprayable strain-hardening fiber-reinforced cementitious composites

Frontiers of Structural and Civil Engineering   Pages 145-160 doi: 10.1007/s11709-022-0806-4

Abstract: In this study, sprayable strain-hardening fiber-reinforced cementitious composites (FRCC) were applied to strengthen the concrete slabs in a concrete-face rockfill dam (CFRD) for the first time. Experimental, numerical, and analytical investigations were carried out to understand the flexural properties of FRCC-layered concrete slabs. It was found that the FRCC layer improved the flexural performance of concrete slabs significantly. The cracking and ultimate loads of a concrete slab with an 80 mm FRCC layer were 132% and 69% higher than those of the unstrengthened concrete slab, respectively. At the maximum crack width of 0.2 mm, the deflection of the 80-mm FRCC strengthened concrete slab was 144% higher than that of the unstrengthened concrete slab. In addition, a FE model and a simplified analytical method were developed for the design and analysis of FRCC-layered concrete slabs. Finally, the test result of FRCC leaching solution indicated that the quality of the water surrounding FRCC satisfied the standard for drinking water. The findings of this study indicate that the sprayable strain-hardening FRCC has a good potential for strengthening hydraulic structures such as CFRDs.

Keywords： engineered cementitious composites     sprayable     shotcrete     strengthening     concrete-face rockfill dam     digitalimage correlation    

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Effect of TGO on the tensile failure behavior of thermal barrier coatings

Le WANG, Yuelan DI, Ying LIU, Haidou WANG, Haoxing YOU, Tao LIU

Frontiers of Mechanical Engineering 2019, Volume 14, Issue 4,   Pages 452-460 doi: 10.1007/s11465-019-0541-2

Abstract: signals and the strain on the coating surface under static load were measured with AE technology and digitalimage correlation.

Keywords： thermally grown oxides     thermal barrier coatings     acoustic emission technology     digital image correlation    

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Measurement of dynamic fracture toughness and failure behavior for explosive mock materials

Pengwan CHEN, Zhongbin ZHOU, Shaopeng MA, Qinwei MA, Fenglei HUANG

Frontiers of Mechanical Engineering 2011, Volume 6, Issue 3,   Pages 292-295 doi: 10.1007/s11465-011-0237-8

Abstract: The digital images were processed using the digital image correlation (DIC) method.

Keywords： digital image correlation     polymer bonded explosive simulant     split Hopkinson pressure bar (SHPB)     semicircular    

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Marble epistyles under shear: an experimental study of the role of “Relieving Space”

E. D. PASIOU, I. STAVRAKAS, D. TRIANTIS, S. K. KOURKOULIS

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 4,   Pages 767-786 doi: 10.1007/s11709-019-0515-9

Abstract: The mechanical response of mutually interconnected epistyles is studied experimentally. The specimens are made of two marble blocks connected to each other with an “I”-shaped titanium connector placed in grooves sculptured on the blocks and covered with cementitious material. The specific way of connecting epistyles simulates the one used by scientists restoring the ancient “connections” of the epistyles of the Parthenon Temple. This “connection,” although designed to sustain mainly tensile loading, undertakes, also, shear load, in case of excitations imposing to the epistyles displacements normal to the connector’s axis. Attention is focused to enlighten the role of a novel design technique aiming to relieve the stress field around the connector. According to this technique, part of the connector’s web is left uncovered, forming the so-called “ ,” assisting the unconstrained deformation of the connector. Both traditional and innovative sensing techniques were employed in an effort to obtain data from the interior of the three-material-complex (marble-cementitious material-titanium). Analysis of the data indicated that the “Relieving Space” reduces the overall stiffness of the system, protecting marble in case of over-loading. Moreover, it was concluded that the innovative techniques employed provide pre-failure indicators well in advance of the catastrophic failure of the specimens.

Keywords： monuments of cultural heritage     marble epistyles     pressure stimulated currents     acoustic emission     digitalimage correlation    

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Deep learning in digital pathology image analysis: a survey

Shujian Deng, Xin Zhang, Wen Yan, Eric I-Chao Chang, Yubo Fan, Maode Lai, Yan Xu

Frontiers of Medicine 2020, Volume 14, Issue 4,   Pages 470-487 doi: 10.1007/s11684-020-0782-9

Abstract: deep learning (DL) has achieved state-of-the-art performance in many digital pathology analysis tasksIn this paper, we comprehensively summarize recent DL-based image analysis studies in histopathology,

Keywords： pathology     deep learning     segmentation     detection     classification    

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Assessing compressive strengths of mortar and concrete from digital images by machine learning techniques

Frontiers of Structural and Civil Engineering   Pages 347-358 doi: 10.1007/s11709-022-0819-z

Abstract: In the present study, a new image-based machine learning method is used to predict concrete compressivesamples were cut, and several images of the cut surfaces were captured at various zoom levels using a digitalused to train machine learning models to allow them to predict compressive strength based upon the imagemodels as an efficient means of estimating cement mortar and concrete compressive strengths based on digital

Keywords： support vector machine     deep convolutional neural network     microscope     digital image     curing period    

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Digital Twins and Cyber–Physical Systems toward Smart Manufacturing and Industry 4.0: Correlation and Article

Fei Tao, Qinglin Qi, Lihui Wang, A.Y.C. Nee

Engineering 2019, Volume 5, Issue 4,   Pages 653-661 doi: 10.1016/j.eng.2019.01.014

Abstract: As the preferred means of such integration, cyber–physical systems (CPS) and digital twins (DTsIn order to highlight the differences and correlation between them, this paper reviews and analyzes CPS

Keywords： Cyber–physical systems (CPS)     Digital twin (DT)     Smart manufacturing     Correlation and comparison    

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Three-scale stochastic homogenization of elastic recycled aggregate concrete based on nano-indentation digital

Chen WANG, Yuching WU, Jianzhuang XIAO

Frontiers of Structural and Civil Engineering 2018, Volume 12, Issue 4,   Pages 461-473 doi: 10.1007/s11709-017-0441-7

Abstract: elastic finite element analyses are made for recycled aggregate concrete (RAC) based on nano-indentation digitalmoduli of RAC at three different scales are obtained using moving window technique, nano-indentation digital

Keywords： RAC     nano-indentation digital image     multiscale     microscopic randomness     homogenization    

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Recent Advances in Passive Digital Image Security Forensics: A Brief Review Review

Xiang Lin, Jian-Hua Li, Shi-Lin Wang, Alan-Wee-Chung Liew, Feng Cheng, Xiao-Sa Huang

Engineering 2018, Volume 4, Issue 1,   Pages 29-39 doi: 10.1016/j.eng.2018.02.008

Abstract: of a digital image is usually hard to determine visually.In order to detect digital image forgeries, various kinds of digital image forensics techniques haveGenerally speaking, passive digital image forensics detects image forgeries based on the fact that therepatterns in image forgeries left during the image storage or editing.In this paper, a brief review on passive digital image forensic methods is presented in order to provide

Keywords： Digital image forensics     Image-tampering detection     Multimedia security    

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Application and Prospect of Digital Speckle Correlation Method on Wood Science

Jiang Zehui,Fei Benhua,Zhang Dongsheng,Ma Shaopeng

Strategic Study of Chinese Academy of Engineering 2003, Volume 5, Issue 11,   Pages 1-7

Abstract: the technologies on modern photoelectron and computer technologies and the improvement on theory of digitalimage processing, Digital Speckle Correlation Method (DSCM) is rapidly emerging as a powerful research

Keywords： digital speckle correlation method (DSCM)     wood science and technology     deformation measurement    

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Title Author Date Type Operation

Digital image correlation-based structural state detection through deep learning

Journal Article

Deformation field and crack analyses of concrete using digital image correlation method

Yijie HUANG, Xujia HE, Qing WANG, Jianzhuang XIAO

Journal Article

fracture process in forta and polypropylene fiber-reinforced concrete using experimental analysis and digitalimage correlation

Journal Article

Long term performance of recycled concrete beams with different water–cement ratio and recycled aggregate replacement rate

Journal Article

Crack evolution of soft–hard composite layered rock-like specimens with two fissures under uniaxial compression

Journal Article

Strengthening of the concrete face slabs of dams using sprayable strain-hardening fiber-reinforced cementitious composites

Journal Article

Effect of TGO on the tensile failure behavior of thermal barrier coatings

Le WANG, Yuelan DI, Ying LIU, Haidou WANG, Haoxing YOU, Tao LIU

Journal Article

Measurement of dynamic fracture toughness and failure behavior for explosive mock materials

Pengwan CHEN, Zhongbin ZHOU, Shaopeng MA, Qinwei MA, Fenglei HUANG

Journal Article

Marble epistyles under shear: an experimental study of the role of “Relieving Space”

E. D. PASIOU, I. STAVRAKAS, D. TRIANTIS, S. K. KOURKOULIS

Journal Article

Deep learning in digital pathology image analysis: a survey

Shujian Deng, Xin Zhang, Wen Yan, Eric I-Chao Chang, Yubo Fan, Maode Lai, Yan Xu

Journal Article

Assessing compressive strengths of mortar and concrete from digital images by machine learning techniques

Journal Article

Digital Twins and Cyber–Physical Systems toward Smart Manufacturing and Industry 4.0: Correlation and

Fei Tao, Qinglin Qi, Lihui Wang, A.Y.C. Nee

Journal Article

Three-scale stochastic homogenization of elastic recycled aggregate concrete based on nano-indentation digital

Chen WANG, Yuching WU, Jianzhuang XIAO

Journal Article

Recent Advances in Passive Digital Image Security Forensics: A Brief Review

Xiang Lin, Jian-Hua Li, Shi-Lin Wang, Alan-Wee-Chung Liew, Feng Cheng, Xiao-Sa Huang

Journal Article

Application and Prospect of Digital Speckle Correlation Method on Wood Science

Jiang Zehui,Fei Benhua,Zhang Dongsheng,Ma Shaopeng

Journal Article