Special Issue on Advances in Digital Image Correlation (DIC)

Périé, Jean‐Noël; Passieux, Jean‐Charles

doi:10.3390/app10041530

Cited by 11 publications

(7 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…These methods and their advantages and disadvantages are described in the Introduction. Considering recent possibilities of the computers and high-speed cameras with high resolution, the DIC system seems to be convenient in the application of damage detection and growth [ 47 , 48 , 49 , 50 , 51 , 52 , 53 , 54 , 55 , 56 , 57 , 58 , 59 , 60 , 61 , 62 , 63 , 64 , 65 , 66 ]. With the use of the professional DIC system, it is possible to achieve good quantitative and qualitative calculation of displacements and strains fields over the investigated surface.…”

Section: Dic and Fem Analysesmentioning

confidence: 99%

“…In the beginning, the application of the DIC method was strongly limited by the computer speed and the size of the files to process. The rapid development of the computing power and storage possibilities enabled that method to become the leading one in the non-destructive analysis of the structure deformations [ 50 ]. Such investigation is done with the use of the high-resolution digital cameras and the respective correlation function [ 51 ].…”

Section: Introductionmentioning

confidence: 99%

“…The detailed description of the different algorithms applied in DIC software and the basics of the DIC technique can be found in [ 51 ]. Generally, the DIC is used for detection and characterization of the surface damage [ 50 , 52 , 53 , 54 , 55 , 56 , 57 ], performance analyses of the structural objects [ 58 , 59 , 60 , 61 ], characterization of material properties [ 62 , 63 ], and damage detection under impact loadings [ 64 , 65 , 66 ]. The precision of the method depends on the camera resolution, quality of its optics, light intensity, and others.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Application of DIC Method in the Analysis of Stress Concentration and Plastic Zone Development Problems

2020

View full text Add to dashboard Cite

The paper presents the assessment of the possibility and reliability of the digital image correlation (DIC) system for engineering and scientific purposes. The studies were performed with the use of samples made of the three different materials—mild S235JR + N steel, microalloyed fine‑grain S355MC steel, and high strength 41Cr4 steel subjected to different heat‑treatment. The DIC studies were focused on determinations of dangerous zones with large stress concentrations, plastic deformation growth, and prediction of the failure zone. Experimental tests were carried out for samples with different notches (circular, square, and triangular openings). With the use of the DIC system and microstructure analyses, the influence of different factors (laser cutting, heat treatment, material type, notch shape, and manufacturing quality) on the material behavior were studied. For all studied cases, the stress concentration factors (SCF) were estimated with the use of the analytical formulation and the finite element analysis. It was observed that the theoretical models for calculations of the influence of the typical notches may result in not proper values of SCFs. Finally, the selected results of the total strain distributions were compared with FEM results, and good agreement was observed. All these allow the authors to conclude that the application of DIC with a common digital camera can be effectively applied for the analysis of the evolution of plastic zones and the damage detection for mild high‑strength steels, as well as those normalized and quenched and tempered at higher temperatures.

show abstract

Section: Dic and Fem Analysesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Application of DIC Method in the Analysis of Stress Concentration and Plastic Zone Development Problems

2020

View full text Add to dashboard Cite

show abstract

“…10 Digital image correlation (DIC) methods have been increasingly used in the direction of tire measurements. DIC 11 has become the most effective measurement technology in experimental mechanics due to its non-contact, full-field observation and good stability. For non-contact measurement of tire tread, DIC was used to study the micro mechanical properties of the multi contact interface of rough elastomers in literature.…”

Section: Introductionmentioning

confidence: 99%

Effect of carbon black components on rolling mechanical properties of tread rubber material by using improved digital image correlation

et al. 2023

View full text Add to dashboard Cite

The rolling and sliding state of the tread rubber material within contact patch was very important to the handling stability and safety of the vehicle. In this paper, first, the absolute coordinate system was introduced into the digital image correlation method, which improved the ability of the traditional digital image correlation method to solve the large deformation of polymer material surface. Second, a new calculation method of rolling friction coefficient based on the brush model was proposed. Third, a non‐contact full‐field rolling dynamics experimental device was developed to study the effects of carbon black components, rotational speed and vertical load on the rolling mechanical characteristics of tread rubber material. On this basis, the rolling mechanical characteristics of tread rubber material with different formulations were obtained by analyzing the distribution properties of global strain rate, full‐field longitudinal speed and full‐field longitudinal acceleration and the variation laws of transverse/longitudinal strain rate, trajectory of marked points, stress‐strain hysteresis curve and rolling friction coefficient. Finally, the influence mechanism of carbon black composition on rolling mechanical properties of tread rubber material was revealed.

show abstract

“…The classical DIC method classifies cracks by comparing the pixel features of the point of interest at different states to those at the initial state [21,22], which is less affected by environmental noise. However, compared with the intelligent detection method, it still needs to judge the position of the crack artificially before the detection, and its effectiveness is limited by the uncertainty of the constitutive parameters and boundary conditions [23].…”

Section: Introductionmentioning

confidence: 99%

Region-Based CNN Method with Deformable Modules for Visually Classifying Concrete Cracks

et al. 2020

View full text Add to dashboard Cite

Cracks are often the most intuitive indicators for assessing the condition of in-service structures. Intelligent detection methods based on regular convolutional neural networks (CNNs) have been widely applied to the field of crack detection in recently years; however, these methods exhibit unsatisfying performance on the detection of out-of-plane cracks. To overcome this drawback, a new type of region-based CNN (R-CNN) crack detector with deformable modules is proposed in the present study. The core idea of the method is to replace the traditional regular convolution and pooling operation with a deformable convolution operation and a deformable pooling operation. The idea is implemented on three different regular detectors, namely the Faster R-CNN, region-based fully convolutional networks (R-FCN), and feature pyramid network (FPN)-based Faster R-CNN. To examine the advantages of the proposed method, the results obtained from the proposed detector and corresponding regular detectors are compared. The results show that the addition of deformable modules improves the mean average precisions (mAPs) achieved by the Faster R-CNN, R-FCN, and FPN-based Faster R-CNN for crack detection. More importantly, adding deformable modules enables these detectors to detect the out-of-plane cracks that are difficult for regular detectors to detect.

show abstract

Special Issue on Advances in Digital Image Correlation (DIC)

Abstract: Digital Image Correlation (DIC) has become the most popular full field measurement technique in experimental mechanics [...]

Cited by 11 publications

References 17 publications

Application of DIC Method in the Analysis of Stress Concentration and Plastic Zone Development Problems

Application of DIC Method in the Analysis of Stress Concentration and Plastic Zone Development Problems

Effect of carbon black components on rolling mechanical properties of tread rubber material by using improved digital image correlation

Region-Based CNN Method with Deformable Modules for Visually Classifying Concrete Cracks

Contact Info

Product

Resources

About