Concave distribution characterization of asphalt pavement surface segregation using smartphone and image processing based techniques

Wan, Tongtong; Wang, Hainian; Feng, Ponan; Diab, Aboelkasim

doi:10.1016/j.conbuildmat.2021.124111

Cited by 16 publications

(2 citation statements)

References 27 publications

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“…It is critical to assess the healed area to determine the effectiveness of the repair process. A digital image processing approach was used to extract the crack features [ 31 , 32 , 33 , 34 , 35 ]. Before the application of any repair, high-definition images were captured with subsequent crack feature extraction.…”

Section: Methodsmentioning

confidence: 99%

Bacterial Carbonate Precipitation Using Active Metabolic Pathway to Repair Mortar Cracks

Raza

Khushnood

2022

Materials

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A study was conducted to check the efficacy of microbial pathways for calcite precipitation to heal pre-existing cracks in mortar. In this experiment, realistic cracks of varying widths were induced on a mortar sample. Different repair methods were applied to a total of 22 mortar samples. Twelve cracked mortar samples with average crack widths ranging from 0.29 to 1.08 mm were subjected to biodeposition treatment using calcium lactate as a food source. The remaining ten samples were split into two groups: five cracked mortar samples were exclusively exposed to the bacterial solution, while the remaining five samples were immersed in distilled water. Digital image processing was used to extract the crack characteristics before and after the repair application. During several repair cycles, image processing was used to track healing. Further, these repaired mortar samples underwent examination for water permeability, ultra-sonic examination, and examination for recovered compressive strength. A forensic examination of the healing product in terms of morphology and elemental composition was conducted using RAMAN, XRD, SEM-EDS, and TGA. The water permeability of the repaired mortar sample using biodeposition with Ca-lactate was dramatically reduced, but samples treated with bacterial solution and distilled water did not exhibit any significant reduction. Complete crack healing was observed when using Ca-lactate as a food source for microbial repair. The forensic analysis confirmed the presence of calcite in healing precipitates

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Section: Methodsmentioning

confidence: 99%

Bacterial Carbonate Precipitation Using Active Metabolic Pathway to Repair Mortar Cracks

Raza

Khushnood

2022

Materials

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“…In addition, the traditional core drilling method is time-consuming and laborious. It also demonstrates poor accuracy, low degree of automation, a small sample size, strong subjectivity and large error [ 4 , 5 ].…”

Section: Introductionmentioning

confidence: 99%

Low Compaction Level Detection of Newly Constructed Asphalt Pavement Based on Regional Index

Tang¹,

Huang

et al. 2022

Sensors

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In order to improve the prediction accuracy regarding low compaction level of asphalt pavement, this paper carries out indoor tests to detect the voids and dielectric constants of AC-13, AC-16 and AC-25 asphalt mixtures, obtaining their relationship equations via linear fitting and determining the dielectric constant judgment threshold of low compaction level segregation risk points ε1. Based on the common mid-point method, three-dimensional ground-penetrating radar is used to obtain the dielectric constant of the physical engineering test section. The researcher can draw the distribution map of the low compaction level segregation risk area according to the judgment threshold ε1 of the rough segregation risk points; divide the connected risk areas; determine the regional convex hull; and calculate the regional indicators such as the regional area, the ratio of the convex risk points and the mean value of the regional dielectric constant. The response surface analysis method is used to acquire the model of risk area index and core void ratio. The model is employed to predict and verify the core void ratio in the risk area of the road section and verify the accuracy of the model. The results show that the error range between the predicted voids and the measured voids is −0.4%~+0.4%, and the mean absolute value of the error is 0.25%. Compared with the mean measured voids of 6.63%, the relative error is 3.77%, indicating that the model can accurately predict the regional low compaction level segregation degree.

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Evaluating Segregation of Hot In-Place Recycled Pavement Based on Surface Texture Distribution Characteristics

Chen

Pan

Han

et al. 2022

Int. J. Pavement Res. Technol.

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Concave distribution characterization of asphalt pavement surface segregation using smartphone and image processing based techniques

Cited by 16 publications

References 27 publications

Bacterial Carbonate Precipitation Using Active Metabolic Pathway to Repair Mortar Cracks

Bacterial Carbonate Precipitation Using Active Metabolic Pathway to Repair Mortar Cracks

Low Compaction Level Detection of Newly Constructed Asphalt Pavement Based on Regional Index

Evaluating Segregation of Hot In-Place Recycled Pavement Based on Surface Texture Distribution Characteristics

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