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

Huang, Yijie; He, Xujia; Wang, Qing

doi:10.1007/s11709-019-0545-3

Cited by 29 publications

(4 citation statements)

References 21 publications

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“…After displacement field was obtained, the resulting image were firstly treated by a median filter in order to decrease the noise. Then the deformation field was calculated [30]. Generally, the discrete displacement data was approximated by a two-dimensional first-order polynomial with u in x direction and v in y direction.…”

Section: Image Processing and Strain Field Calculationmentioning

confidence: 99%

A method of crack detection based on digital image correlation for simulated cracked tooth

Zhang

Guo

et al. 2021

BMC Oral Health

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Background Early clinical cracked tooth can be a perplexing disorder to diagnose and manage. One of the key problems for the diagnosis of the cracked tooth is the detection of the location of the surface crack. Methods This paper proposes an image-based method for the detection of the micro-crack in the simulated cracked tooth. A homemade three-axis motion platform mounted with a telecentric lens was built as an image acquisition system to observe the surface of the simulated cracked tooth, which was under compression with a magnitude of the masticatory force. By using digital image correlation (DIC), the deformation map for the crown surface of the cracked tooth was calculated. Through image analysis, the micro-crack was quantitatively visualized and characterized. Results The skeleton of the crack path was successfully extracted from the image of the principal strain field, which was further verified by the image from micro-CT. Based on crack kinematics, the crack opening displacement was quantitatively calculated to be 2–10 µm under the normal mastication stress, which was in good agreement with the value reported in the literature. Conclusions The crack on the surface of the simulated cracked tooth could be detected based on the proposed DIC-based method. The proposed method may provide a new solution for the rapid clinical diagnosis of cracked teeth and the calculated crack information would be helpful for the subsequent clinical treatment of cracked teeth.

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Section: Image Processing and Strain Field Calculationmentioning

confidence: 99%

A method of crack detection based on digital image correlation for simulated cracked tooth

Zhang

Guo

et al. 2021

BMC Oral Health

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“…e reason is that the assessment process is dependent of subjective judgment of human technicians [2,3]. erefore, project owners are increasingly seeking for fast, effective, and consistent tools to better structure condition assessment [19][20][21][22][23][24]. e assessment outcomes can also enhance communication between various stakeholders regarding the condition of the buildings.…”

Section: Research Backgroundmentioning

confidence: 99%

A Novel Approach for Automatic Detection of Concrete Surface Voids Using Image Texture Analysis and History‐Based Adaptive Differential Evolution Optimized Support Vector Machine

Hoang

Nguyen

2020

Advances in Civil Engineering

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To inspect the quality of concrete structures, surface voids or bugholes existing on a concrete surface after the casting process needs to be detected. To improve the productivity of the inspection work, this study develops a hybrid intelligence approach that combines image texture analysis, machine learning, and metaheuristic optimization. Image texture computations employ the Gabor filter and gray-level run lengths to characterize the condition of a concrete surface. Based on features of image texture, Support Vector Machines (SVM) establish a decision boundary that separates collected image samples into two categories of no surface void (negative class) and surface void (positive class). Furthermore, to assist the SVM model training phase, the state-of-the-art history-based adaptive differential evolution with linear population size reduction (L-SHADE) is utilized. The hybrid intelligence approach, named as L-SHADE-SVM-SVD, has been developed and complied in Visual C#.NET framework. Experiments with 1000 image samples show that the L-SHADE-SVM-SVD can obtain a high prediction accuracy of roughly 93%. Therefore, the newly developed model can be a promising alternative for construction inspectors in concrete quality assessment.

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“…Boulekbache et al [33] employed DIC to analyze the fracture mechanism of steel fiber-reinforced concrete during tensile splitting. Huang et al [34] investigated the deformation field of concrete under axial pressure based on DIC. The acoustic emission technique is extensively employed in the nondestructive evaluation of engineering structures.…”

Section: Introductionmentioning

confidence: 99%

Examination of Damage Evolution in Slurry Masonry Schist Subjected to Biaxial Compressive Stresses

Dong,

Cheng,

Chen

et al. 2024

Buildings

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This study used a static bidirectional multifunctional loading system. The system conducted bidirectional compression tests on scaled specimens of slurry masonry schist under freeze–thaw cycling conditions. This study aimed to investigate the influence of bidirectional stress coupling with freeze–thaw cycles on the mechanical properties of slurry masonry schist. The results indicate that lateral pressure can increase the peak stress of slurry masonry schist, while freeze–thaw cycles have an adverse effect on the material’s internal pore structure, counteracting the gain effect of lateral pressure. This study also employed acoustic emission (AE) technology to analyze the evolution of slurry masonry schist failure characteristics. The findings reveal that freeze–thaw cycles accelerate the failure of slurry masonry schist during loading, and lateral pressure to some extent mitigates the damage development of slurry masonry schist. The synergistic effect of lateral pressure and freeze–thaw cycles alters the fracture mode of slurry masonry schist. Acoustic emission signal localization demonstrates numerous AE localization points in the interface transition zone, forming a coherent signal band where cracks propagate toward complete interface penetration. The crack extension process of the slurry masonry schist was investigated using the digital image correlation (DIC) method. The results indicated that macroscopic cracks formed in the strain localization zone, resulting in fracture damage to the specimens, with interfacial debonding identified as the primary failure mode for slurry masonry schist structures.

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

Cited by 29 publications

References 21 publications

A method of crack detection based on digital image correlation for simulated cracked tooth

A method of crack detection based on digital image correlation for simulated cracked tooth

A Novel Approach for Automatic Detection of Concrete Surface Voids Using Image Texture Analysis and History‐Based Adaptive Differential Evolution Optimized Support Vector Machine

Examination of Damage Evolution in Slurry Masonry Schist Subjected to Biaxial Compressive Stresses

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