Investigation of pavement raveling performance using smartphone

Massahi, Aidin; Ali, Hesham; Koohifar, Farshad; Baqersad, Mohamadtaqi; Mohammadafzali, Mojtaba

doi:10.1016/j.ijprt.2017.11.007

Cited by 34 publications

(9 citation statements)

References 31 publications

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“…Two sites in Florida that were recently paved with FC9.5 asphalt mixture were chosen for this study because FC9.5 is a commonly paved asphalt mixture type in Florida [21,22]. FC9.5 is a Superpave mixture with the nominal maximum aggregate size of 9.5 millimeters [23].…”

Section: Methodsmentioning

confidence: 99%

Asphalt Mixture Segregation Detection: Digital Image Processing Approach

Baqersad

Hamedi

Mohammadafzali

et al. 2017

Advances in Materials Science and Engineering

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Segregation determination in the asphalt pavement is an issue causing many disputes between agencies and contractors. The visual inspection method has commonly been used to determine pavement texture and in-place core density test used for verification. Furthermore, laser-based devices, such as the Florida Texture Meter (FTM) and the Circular Track Meter (CTM), have recently been developed to evaluate the asphalt mixture texture. In this study, an innovative digital image processing approach is used to determine pavement segregation. In this procedure, the standard deviation of the grayscale image frequency histogram is used to determine segregated regions. Linear Discriminate Analysis (LDA) is then implemented on the obtained standard deviations from image processing to classify pavements into the segregated and nonsegregated areas. The visual inspection method is utilized to verify this method. The results have demonstrated that this new method is a robust tool to determine segregated areas in newly paved FC9.5 pavement types.

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Section: Methodsmentioning

confidence: 99%

Asphalt Mixture Segregation Detection: Digital Image Processing Approach

Baqersad

Hamedi

Mohammadafzali

et al. 2017

Advances in Materials Science and Engineering

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“…Linear regression is a statistical method that defines the relationship between two independent variables [20]. Summary of R-squared values and equations for each correlation is presented in Table 6.…”

Section: Regression Analysismentioning

confidence: 99%

Studying Engineering Characteristics of Asphalt Binder and Mixture Modified by Nanosilica and Estimating Their Correlations

Hasaninia

Haddadi

2018

Advances in Materials Science and Engineering

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e objective of this research was to investigate rutting and fatigue distresses in asphalt containing 2, 4, 6, and 8 percent of nanosilica (NC) and to find out the correlation between engineering properties of the modified binder and mixture asphalt. In order to study the effect of NC on the rutting and fatigue properties of modified binders, the multiple stress creep recovery (MSCR) and linear amplitude sweep (LAS) tests were carried out. e Marshall stability, dynamic creep, and four-point bending beam fatigue tests were used to evaluate performance characteristics of the mixtures. e binder and mixture tests all indicated an improvement of fatigue and rutting resistance using NC as a modifier. Furthermore, some statistical correlations between engineering properties were developed successfully.

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“…oxidation and moisture damage) (Poulikakos and Partl 2004). According to Massahi et al (2018), several factors influence the ravelling phenomena including the void percentage in the mixture and the binder-aggregates cohesive and adhesive capacity. For that reason, porous friction courses are being developed with high quality materials among which are the modified binders with polymers.…”

Section: Introductionmentioning

confidence: 99%

A combination of DOE – multi-criteria decision making analysis applied to additive assessment in porous asphalt mixture

Slebi-Acevedo

Castro‐Fresno

Pascual-Muñoz

2021

International Journal of Pavement Engineering

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Porous asphalt (PA) mixture is setting off an attractive alternative to be used as surface layer in pavements due to the many profits this mixture provides in terms of noise, safety and environmental aspects. Nonetheless, its use is quite limited due to its low durability in comparison to dense graded asphalt mixtures, reason for which the incorporation of different additives is recommended. In this study, the impact of different types of binders and additives in porous asphalt mixtures are experimentally assessed. A total of 54 experimental designs were defined through the Taguchi design of experiments method. Total air voids, interconnected air voids, particle loss in dry and wet conditions and binder drain down were the responses obtained from the experimental tests. Since more than one response was obtained, three Multi-Criteria Decision-Making (MCDM) methods were performed to turn the multiple response optimisation problem into single-objective optimisation problem. Based on the experimental results and statistical analysis, polymer modified binders improve the ravelling resistance without affecting the functional performance of the mixture and without presenting the risk of binder drain down.

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Investigation of pavement raveling performance using smartphone

Cited by 34 publications

References 31 publications

Asphalt Mixture Segregation Detection: Digital Image Processing Approach

Asphalt Mixture Segregation Detection: Digital Image Processing Approach

Studying Engineering Characteristics of Asphalt Binder and Mixture Modified by Nanosilica and Estimating Their Correlations

A combination of DOE – multi-criteria decision making analysis applied to additive assessment in porous asphalt mixture

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