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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

Seyed Hamid KALALI; Hamid ESKANDARI-NADDAF; Seyed Ali EMAMIAN

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 12,   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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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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polypropylene-reinforced ultra-high-performance concrete through numerical analyses and experimental multi-target digitalimage correlation

Frontiers of Structural and Civil Engineering   Pages 1228-1248 doi: 10.1007/s11709-023-0931-8

Abstract: A method, namely multi-target digital image correlation (MT-DIC) was used to monitor the displacement

Keywords： UHPC     MT-DIC     flexural behavior     tensile behavior     steel fiber     polypropylene fiber    

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

Amit SHIULY; Debabrata DUTTA; Achintya MONDAL

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 3,   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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Quantification of coarse aggregate shape in concrete

Xianglin GU,Yvonne TRAN,Li HONG

Frontiers of Structural and Civil Engineering 2014, Volume 8, Issue 3,   Pages 308-321 doi: 10.1007/s11709-014-0266-6

Abstract: based on these established parameters, 200 coarse quartzite aggregates are analyzed herein by using image

Keywords： coarse aggregate     form     angularity     digital image analysis     statistical distribution     splitting tensile strength    

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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 2022, Volume 16, Issue 2,   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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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 image    

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A study on fatigue damage of asphalt mixture under different compaction using 3D-microstructural characteristics

Jing HU, Pengfei LIU, Bernhard STEINAUER

Frontiers of Structural and Civil Engineering 2017, Volume 11, Issue 3,   Pages 329-337 doi: 10.1007/s11709-017-0407-9

Abstract: The aggregate particles and air-voids were extracted using Digital Image Processing (DIP), so the relationship

Keywords： asphalt mixture     microstructure     morphology     digital image processing     fatigue damage    

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

Jingwei YING; Feiming SU; Shuangren CHEN

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 3,   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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Turbidity-adaptive underwater image enhancement method using image fusion

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 3, doi: 10.1007/s11465-021-0669-8

Abstract: In this paper, we propose a turbidity-adaptive underwater image enhancement method.Based on the detection result, different image enhancement strategies are designed to deal with the problemThe proposed method is verified by an underwater image dataset captured in real underwater environmentThe result is evaluated by image metrics including structure similarity index measure, underwater colorimage quality evaluation metric, and speeded-up robust features.

Keywords： turbidity     underwater image enhancement     image fusion     underwater robots     visibility    

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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

Seyed Hamid KALALI; Hamid ESKANDARI-NADDAF; Seyed Ali EMAMIAN

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

polypropylene-reinforced ultra-high-performance concrete through numerical analyses and experimental multi-target digitalimage correlation

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

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

Chen WANG, Yuching WU, Jianzhuang XIAO

Journal Article

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

Amit SHIULY; Debabrata DUTTA; Achintya MONDAL

Journal Article

Quantification of coarse aggregate shape in concrete

Xianglin GU,Yvonne TRAN,Li HONG

Journal Article

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

Journal Article

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

Journal Article

A study on fatigue damage of asphalt mixture under different compaction using 3D-microstructural characteristics

Jing HU, Pengfei LIU, Bernhard STEINAUER

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

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

Jingwei YING; Feiming SU; Shuangren CHEN

Journal Article

Turbidity-adaptive underwater image enhancement method using image fusion

Journal Article