Effect of the contact structure characteristics on rutting performance in asphalt mixtures using 2D imaging analysis

Jiang, Jiwang; Ni, Fujian; Gao, Lei; Yao, Linyi

doi:10.1016/j.conbuildmat.2016.12.210

Cited by 75 publications

(9 citation statements)

References 12 publications

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“…En la revisión realizada se observa que el procesamiento digital de imágenes con inteligencia artificial se usa en gran parte para la detección y modelado de grietas. Por otro lado, se realizan trabajos con métodos tradicionales como el de (Radopoulou & Brilakis, 2015) en donde se busca detectar las reparaciones en las vías; en (Bessa et al, 2012)proponen por medio de técnicas de segmentación poder determinar las partículas fracturadas, puntos de contacto y orientación de los agregados de una muestra; en otra aplicación realizada en (Jiang et al, 2017) se busca determinar la distribución de los agregados en una foto para poder predecir características propias del comportamiento del material; de igual forma se trabaja en la detección de grietas y huecos como el modelo realizado en (Tedeschi & Benedetto, 2017).…”

Section: Aplicaciones De Ia En Imágenes De Pavimentosunclassified

Técnicas de inteligencia artificial utilizadas en el procesamiento de imágenes y su aplicación en el análisis de pavimentos

Reyes-Ortiz

Mejía

Useche-Castelblanco

2019

reveia

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Debido al incremento en los costos de mantenimiento, rehabilitación y construcción de vías, estudiar las estructuras de pavimento para determinar su comportamiento y sus características mecánicas propias analizando la distribución y posición de sus partículas, se ha vuelto un campo de gran importancia en la ingeniería. Las nuevas herramientas de análisis buscan hacer este estudio más eficiente reduciendo su costo y tiempo de ejecución mediante el procesamiento digital de imágenes. El procesamiento digital tradicional está limitado en su sensibilidad ante perturbaciones externas que puedan modificar la imagen, por eso se han implementado diferentes técnicas de inteligencia artificial (IA) para optimizar los algoritmos. Este trabajo presenta una revisión de las diferentes aplicaciones de técnicas de IA recientes en el procesamiento de imágenes. Después se revisan los trabajos realizados específicamente con imágenes de pavimentos y se proponen posibles aplicaciones para implementar en este campo con inteligencia artificial

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Section: Aplicaciones De Ia En Imágenes De Pavimentosunclassified

Técnicas de inteligencia artificial utilizadas en el procesamiento de imágenes y su aplicación en el análisis de pavimentos

Reyes-Ortiz

Mejía

Useche-Castelblanco

2019

reveia

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“…Several image processing techniques that characterize volumetric relationship and aggregate properties in asphalt mixtures can be found in the literature for studying the internal structures of asphalt mixtures, and those studies present how to develop and improve the image processing technique for their own purposes. Some of the previous studies used commercial programs such as iPas, Image Pro Plus, and ImageJ [4,8,9,13,15,19,22,38,41], while some developed the image processing using MATLAB or Visual C++ software to compensate the error for their own purposes in analysis [6,16,20,35,40,42,44,45]. Developing image processing performs two main steps: image processing and analysis.…”

Section: Image Processing Technique Usedmentioning

confidence: 99%

“…In compaction circumstances, the behavior of asphalt mixtures depends on compaction methods, tools, and temperatures [6,[13][14][15][16][17][18]. The importance of internal structure in asphalt mixtures has been recognized by experimental researchers in that the internal structure of an asphalt mixture affects not only the compaction performance but also the pavement performance and distresses such as rutting, fatigue, and thermal cracking [18][19][20][21][22][23][24][25].…”

Section: Introductionmentioning

confidence: 99%

Linking the Effect of Aggregate Interaction to the Compaction Theory for Asphalt Mixtures Using Image Processing

Kim

Kang

2018

Applied Sciences

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This study presents a modified compaction concept of asphalt mixtures based on aggregate frictional behavior using self-developed image processing for measuring the aggregate orientation. The compaction energy index was introduced to evaluate the aggregate orientation on different compaction temperatures. For the better rearrangement of aggregates, there was an optimum temperature at which a preferred orientation exists, providing lower compaction efforts. An excessively high temperature reduced the asphalt contents for lubrication and caused additional aggregate friction to require higher compaction efforts. This phenomenon can be found in the changes of the volume of the effective asphalt binder (Veac) and the absorbed asphalt binder (Pba). The mixture produced higher Veac, at which an optimum compaction temperature required lower compaction energy. Despite being higher than the optimum temperature for the PG62-28 mixture, the Veac decreased by 0.4%. An increase of 0.35% in the Pba was inferred to flow into the aggregates. Clearly, a reduction of lubricant in the mixture caused a higher frictional interaction between aggregates. Changes in the Veac and the Pba can eliminate the viscosity effect for the rearrangement of aggregates. Based on the aggregate orientation and change in mixture volumetrics, the aggregate interaction effect was introduced to the Mohr–Coulomb compaction theory to explain the additional friction.

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“…Several studies have been conducted characterising the HMA internal structure through DIP techniques, and different scholars have employed different methods to analyse the internal structure characteristics of various pavement materials, gradation types, and compaction methods [10]. Parameters to measure the aggregate size, coarse aggregate angularity [11], contact between aggregates [12], skeleton performance [13,14], thermal conductivity [15,16], mastic thickness [17], air void distribution [18], and horizontal homogeneity [19,20] of asphalt mixtures prepared from the laboratory or field have been proposed. ese studies have found that most of these parameters could be significantly influenced by the mix design results or test conditions during the compaction process.…”

Section: Introductionmentioning

confidence: 99%

A New Method for Designing Dense Skeleton Asphalt Mixture Based on Meso Parameter

Shi

Wang

et al. 2020

Advances in Civil Engineering

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At present, research on the internal structures of asphalt mixtures has mostly focused on the statistical analysis of their mesostructural components such as aggregates, voids, and asphalt mortars, in addition to the verification of the mechanical behaviour of the mixture through simulations. Furthermore, the capacity of the research has not risen to a level where a design method to guide the design and optimisation of the asphalt mixture gradation has been formulated. After an in-depth analysis of the existing evaluation parameters and standards for the asphalt mixture skeleton, this study proposes a new method for precise designing a dense skeleton asphalt mixture (DSAM) based on meso parameter. e results indicate that the application of digital image processing (DIP) techniques to adjust the gradation increases the average coordination number (n c ) and reduces the ratio of the quantity of coarse aggregate without contact point to the total quantity of coarse aggregate (C value). is can effectively improve the meso parameters of the mixture so that the quality of the main skeleton is significantly enhanced; the process also has higher precision and demands less test work. VCA mix (IMAGE) ≤ VCA DRC and n c >1.6 while C < 20% can be used as qualitative and quantitative evaluation criterion for forming better main skeleton structure of coarse aggregate. e new method of designing a DSAM based on meso parameter is intuitive and convenient, which considerably reduces the blindness and tediousness in the design of the asphalt mixture gradation. e engineering example also proves that the asphalt mixture has an excellent pavement performance and verifies the feasibility of the proposed design method.

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Effect of the contact structure characteristics on rutting performance in asphalt mixtures using 2D imaging analysis

Cited by 75 publications

References 12 publications

Técnicas de inteligencia artificial utilizadas en el procesamiento de imágenes y su aplicación en el análisis de pavimentos

Técnicas de inteligencia artificial utilizadas en el procesamiento de imágenes y su aplicación en el análisis de pavimentos

Linking the Effect of Aggregate Interaction to the Compaction Theory for Asphalt Mixtures Using Image Processing

A New Method for Designing Dense Skeleton Asphalt Mixture Based on Meso Parameter

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