scholarly journals Investigation of Crack Propagation and Healing of Asphalt Concrete Using Digital Image Correlation

2019 ◽  
Vol 9 (12) ◽  
pp. 2459 ◽  
Author(s):  
Navid Hasheminejad ◽  
Cedric Vuye ◽  
Alexandros Margaritis ◽  
Bart Ribbens ◽  
Geert Jacobs ◽  
...  
Keyword(s):  
Digital Image Correlation ◽  
Digital Image ◽  
Asphalt Mixture ◽  
Asphalt Mixtures ◽  
Image Correlation ◽  
Asphalt Pavements ◽  
Rest Periods ◽  
Tensile Fatigue ◽  
Indirect Tensile ◽  
Time Required

The fatigue performance and healing ability of asphalt pavements are important for mixture design, rehabilitation, and maintenance of the roads. By analyzing these parameters in an asphalt mixture, it is possible to predict the crack formation and propagation in asphalt pavements and healing of these cracks during the rest periods. The healing effect in asphalt mixtures has been observed and verified by many researchers and different methods exist to evaluate this phenomenon. However, current methods are still inadequate to fully observe and quantify the healing phenomenon in asphalt mixtures. In this study, a digital image correlation (DIC) method is used to calculate the strain map on the surface of cylindrical asphalt specimens during the indirect tensile fatigue test. This strain map is used to detect the location of crack initiations and development of the microcracks during the experiments. Next, the specimens are unloaded and the temperature of the climate chamber is increased to 60 °C for 18 h to investigate the healing phenomenon on the surface of the specimens. It is observed that the strain reduces near the microcrack areas especially at the tip of the microcracks. Furthermore, using DIC it is possible to observe the healing rate and the minimum time required to heal the microcracks on the surface of the specimens.

scholarly journals Accurate Measurement of Strain in Noncontact Surface Deformation Using Subset-Based Digital Image Correlation

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
S. Agnes Shifani ◽  
M. S. Godwin Premi
Keyword(s):  
Digital Image Correlation ◽  
Digital Image ◽  
Surface Deformation ◽  
Computational Cost ◽  
Computation Time ◽  
Image Correlation ◽  
Step Size ◽  
Time Required ◽  
Precision Rate ◽  
Number Of Iterations

The measurement of strain using some contact techniques has some drawbacks like less accuracy and it takes larger computation time for finding each location of subpixels. Thus, a faster noncontact Digital Image Correlation (DIC) mechanism is utilized along with the traditional techniques to measure the strain. The Newton-Raphson (NR) technique is considered to be an accepted mechanism for accurate tracking of different intensity relocation. Generally, the issue regarding the DIC mechanism is its computational cost. In this paper, an interpolation technique is utilized to accomplish a high precision rate and faster image correlation; thereby it reduces the computation time required for finding the matched pixel and viably handles the rehashing relationship process. Hence, the proposed mechanism provides better efficiency along with a reduced number of iterations required for finding the identity. The number of iterations can be reduced using the Sum of Square of Subset Intensity Gradients (SSSIG) method. The evaluation of the projected scheme is tested with different images through various parameters. Finally, the outcome indicates that the projected mechanism takes only a few milliseconds to match the best matching location, whereas the prevailing techniques require 16 seconds for the same operation with the same step size. This demonstrates the effectiveness of the proposed scheme.

scholarly journals Effects of Fiber Diameter on Crack Resistance of Asphalt Mixtures Reinforced by Basalt Fibers Based on Digital Image Correlation Technology

Materials ◽  
2021 ◽  
Vol 14 (23) ◽  
pp. 7426
Author(s):  
Zhaohui Pei ◽  
Keke Lou ◽  
Heyu Kong ◽  
Bangwei Wu ◽  
Xing Wu ◽  
...  
Keyword(s):  
Digital Image Correlation ◽  
Crack Resistance ◽  
Digital Image ◽  
Fiber Diameter ◽  
Basalt Fiber ◽  
Asphalt Mixtures ◽  
Image Correlation ◽  
Bending Test ◽  
Basalt Fibers ◽  
The Impact

It is now more popular to use basalt fibers in the engineering programs to reinforce the crack resistance of asphalt mixtures. However, research concerning the impact of the basalt fiber diameter on the macro performance of AC-13 mixtures is very limited. Therefore, in this paper, basalt fibers with three diameters, including 7, 13 and 25 μm, were selected to research the influences of fiber diameter on the crack resistance of asphalt mixtures. Different types of crack tests, such as the low temperature trabecular bending test (LTTB), the indirect tensile asphalt cracking test (IDEAL-CT), and the semi-circular bend test (SCB), were conducted to reveal the crack resistance of AC-13 mixtures. The entire cracking process was recorded through the digital image correlation (DIC) technique, and the displacement cloud pictures, strain, average crack propagation rate (V) and fracture toughness (FT) indicators were used to evaluate the crack inhibition action of the fiber diameter on the mixture. The results showed that the incorporation of basalt fiber substantially improved the crack resistance, slowed down the increase of the displacement, and delayed the fracture time. Basalt fiber with a diameter of 7 μm presented the best enhancement capability on the crack resistance of the AC-13 mixture. The flexibility index (FI) of the SCB test showed a good correlation with V and FT values of DIC test results, respectively. These findings provide theoretical advice for the popularization and engineering application of basalt fibers in asphalt pavement.

Study on Semi-Circular Bending Test Using Digital Image Correlation Method

2013 ◽  
Vol 438-439 ◽  
pp. 421-429
Author(s):  
Peng Fei Li ◽  
Jing Hui Liu
Keyword(s):  
Fracture Toughness ◽  
Digital Image Correlation ◽  
Digital Image ◽  
Fracture Resistance ◽  
Correlation Method ◽  
Asphalt Mixtures ◽  
Image Correlation ◽  
Bending Test ◽  
Single Specimen ◽  
Digital Image Correlation Method

Fracture toughnessJCis sensitive to the characteristic of the material itself, as an effective indicator to appreciate the fracture resistance of the asphalt mixtures, is adopted by more and more researchers. The Semi-Circular Bending Test (SCB) can evaluate the fracture resistance of asphalt mixtures with different kinds of molding means. But currently, the fracture toughnessJCis measured by multi specimens (at least two), the experimental consumption is high, the single specimen calculation formula didnt appear. Using Digital Image Correlation Method (DICM) can compute theJ-contour integral of a single specimen, compared with the results obtained from multi specimens, the repeatability is better, the accuracy is higher. Test and analytic results show that the DICM provide a new approach to study and investigate the fracture toughnessJC.

scholarly journals MOVEMENT CHARACTERISTICS OF ASPHALT MIXTURE USING X-RAY CT AND DIGITAL IMAGE CORRELATION

2013 ◽  
Vol 69 (3) ◽  
pp. I_49-I_57
Author(s):  
Satoshi TANIGUCHI ◽  
Jun OTANI ◽  
Takahiro SATO ◽  
Masayuki KUMAGAI ◽  
Kenji HIMENO
Keyword(s):  
Digital Image Correlation ◽  
Digital Image ◽  
Asphalt Mixture ◽  
Image Correlation ◽  
X Ray ◽  
Movement Characteristics

Particle distribution around the damage area of asphalt mixture based on digital image correlation

2020 ◽  
Vol 375 ◽  
pp. 11-19
Author(s):  
Chao Xing ◽  
Lei Zhang ◽  
Kumar Anupam ◽  
Yiqiu Tan ◽  
Dawei Wang ◽  
...  
Keyword(s):  
Digital Image Correlation ◽  
Digital Image ◽  
Particle Distribution ◽  
Asphalt Mixture ◽  
Image Correlation ◽  
Damage Area

Parallel reliability-guided algorithm for digital image correlation

2019 ◽  
Vol 61 (12) ◽  
pp. 729-737 ◽  
Author(s):  
Zhe Lin ◽  
Tian Cai ◽  
Yanfeng Wang
Keyword(s):  
Digital Image Correlation ◽  
Digital Image ◽  
Measurement Accuracy ◽  
Image Sequence ◽  
Image Correlation ◽  
Reference Image ◽  
Measurement Results ◽  
Discontinuous Deformation ◽  
Computing Platforms ◽  
Time Required

Digital image correlation is a non-contact optical method for measuring the displacement and strain on the surface of a material. The existing reliability-guided digital image correlation (RG-DIC) method is stable and reliable for a single image but it still needs a large calculational resource for a sequence of images. Due to the decorrelation effect, the reference image must be replaced several times to correct the measurement results for an image sequence involving a large deformation or a discontinuous deformation. Since the process must be executed sequentially, image by image, the total time required is often unacceptably large when the image sequence is long. The challenge is to find a way of improving the speed while retaining calculational reliability and measurement accuracy, which are important for the practical application of DIC. To address this problem, an improved method is proposed in this paper. The parallel bottleneck caused by the decorrelation effect is solved through improving the parallelism to increase the processing speed. This approach can be used to calculate the strain field of the surface of the material in cases of discontinuous deformation, such as in the area near to a crack. Compared with existing methods, this method not only retains the calculational reliability but also greatly improves calculation speed, especially on current multi-core computing platforms.

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