Developing a macrotexture prediction model for chip seals

Aktaş, Bekir; Karaşahin, Mustafa; Tığdemir, Mesut

doi:10.1016/j.conbuildmat.2012.12.019

Cited by 17 publications

(8 citation statements)

References 4 publications

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“…Consequently, researchers are exploring alternative methods, such as polynomial functions [125], and truncated Levy flight distribution [126]. Regression analyses were employed for various purposes: for macrotexture prediction in chip seals [127], for generalized models in Louisiana [128], and a multilinear regression for IRI and rutting modeling [129]. ANN has been deployed for Present Serviceability Index (PSI) of urban flexible pavements [130] and for cracking, raveling, rutting, and roughness for secondary roads in India [131].…”

Section: Pavement Performance Modelsmentioning

confidence: 99%

Research Trends in Pavement Management during the First Years of the 21st Century: A Bibliometric Analysis during the 2000–2013 Period

et al. 2018

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A bibliometric analysis based on Scopus database was carried out to identify the global research trends related to pavement management area from 2000 to 2013, and to improve the understanding of the research topics in that period. The results reveal two stable periods of annual publications, from 2000 to 2002 with an average rate of 27, and from 2003 to 2010 with a value of 51; and a period with an increasing production rate of 20 publications per year after 2010. According to the document-type distribution, articles and conference papers have almost the same contribution. The most productive country was the United States, followed by Canada and China. The research trend in the field of pavement management could be grouped into three main areas. The first one is related to pavement management systems, which attracted the greatest attention, especially optimization processes with various objectives and lifecycle cost analysis. The second group is about pavement performance modeling, where calibration of mechanical empirical models was largely developed. Lastly, data collection had also occupied several papers, mainly about cracking classification. Sustainability aspects in pavement management became an emergent issue. The trending issues in that period, in these categories, were summarized in the paper.

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Section: Pavement Performance Modelsmentioning

confidence: 99%

Research Trends in Pavement Management during the First Years of the 21st Century: A Bibliometric Analysis during the 2000–2013 Period

et al. 2018

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“…Chip seals are widespread because the construction operations are less expensive and faster than those necessary for other preservation alternatives (Wasiuddin et al 2012). However, this type of treatment does not provide positive effects on the structural performance of the existing pavement (Islam and Hossain 2012;Aktas et al 2013). Chip seals are considered as either (TNZ 2005): (i) First coat (includes Prime coat), that is the initial seal on a prepared unsealed surface, which is usually a base-course; (ii) Reseal (includes Second coat and Pre-treatment Seal), that is any chip seal applied to a surface which has previously been sealed when it shows signs of distress such as loss of waterproofing, chip loss, cracks, loss of skid resistance.…”

Section: Introductionmentioning

confidence: 98%

Surface Performance Characterization of Single-Layer Surface Dressing: A Macrotexture Prediction Model

2015

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Bituminous surface treatments (seal coats, chip seals, etc.) are pavement wearing courses created using asphalt binder and aggregate. They can be applied to an existing pavement or to a base course. They can act as a waterproof, skid resistant layer, sealing cracks and raveled surfaces and increasing reflection properties of road surfaces. Their expected life ranges from two to five years and are widely used in flexible pavements maintenance and rehabilitation because of reduced costs and the easiness of application. One of the most important characteristics of bituminous surface treatments is their macrotexture (initial and over time). Indeed, it affects tire-pavement interaction in wet and dry conditions and can interact with other characteristics and distress (aggregate embedment, loss of cover aggregate, streaking, bleeding, etc.). This paper focuses on the evaluation of surface performance of laboratory slabs, produced through a single-surface dressing. Macrotexture depth was measured by the Sand Patch method. A laser profilometer was also used to survey slabs texture and both aggregate descriptors and texture levels were evaluated. Finally, skid resistance and drainability data were measured by means of the British Pendulum Tester and the Belgian Permeameter, respectively. Aggregates of different size were selected in order to investigate on the relationship between aggregate dimensions and surface performance. A model was developed, implemented and validated. Results are expected to benefit both practitioners and researchers.

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“…Furthermore, they are often used as a wearing course on low volume roads [6] and they mainly affect skid resistance [7][8][9].…”

Section: Introductionmentioning

confidence: 99%

Macrotexture modeling and experimental validation for pavement surface treatments

Praticò

Vaiana

Iuele

2015

Construction and Building Materials

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Developing a macrotexture prediction model for chip seals

Cited by 17 publications

References 4 publications

Research Trends in Pavement Management during the First Years of the 21st Century: A Bibliometric Analysis during the 2000–2013 Period

Research Trends in Pavement Management during the First Years of the 21st Century: A Bibliometric Analysis during the 2000–2013 Period

Surface Performance Characterization of Single-Layer Surface Dressing: A Macrotexture Prediction Model

Macrotexture modeling and experimental validation for pavement surface treatments

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