Rutting in Flexible Pavement: An Approach of Evaluation with Accelerated Pavement Testing Facility

Khan, Shahbaz; Nagabhushana, M.N.; Tiwari, Diwakar; Jain, Pramod Kumar

doi:10.1016/j.sbspro.2013.11.107

Cited by 35 publications

(15 citation statements)

References 2 publications

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“…On the basis of the tool adopted, specific input data are necessary, which are characterised by different accuracy and precision levels, and are acquired by different techniques, which contributes to determining the global performance and cost of a PMS. Several authors [21,26,27] focused their researches on the analysis of the relation between accidents and pavement conditions, expressed in term of common indices: according to the literature review Pavement Condition Index (PCI), International Roughness Index (IRI), Ruth Depth (RD), and Pavement Serviceability Index (PSI) are the most used ones in representing a global or peculiar aspect of the road pavement. Table 1 summarises the above-mentioned indices.…”

Section: Indices Reviewmentioning

confidence: 99%

Pavement Distress Detection Methods: A Review

2018

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The road pavement conditions affect safety and comfort, traffic and travel times, vehicles operating cost, and emission levels. In order to optimize the road pavement management and guarantee satisfactory mobility conditions for all road users, the Pavement Management System (PMS) is an effective tool for the road manager. An effective PMS requires the availability of pavement distress data, the possibility of data maintenance and updating, in order to evaluate the best maintenance program. In the last decade, many researches have been focused on pavement distress detection, using a huge variety of technological solutions for both data collection and information extraction and qualification. This paper presents a literature review of data collection systems and processing approach aimed at the pavement condition evaluation. Both commercial solutions and research approaches have been included. The main goal is to draw a framework of the actual existing solutions, considering them from a different point of view in order to identify the most suitable for further research and technical improvement, while also considering the automated and semi-automated emerging technologies. An important attempt is to evaluate the aptness of the data collection and extraction to the type of distress, considering the distress detection, classification, and quantification phases of the procedure.

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Section: Indices Reviewmentioning

confidence: 99%

Pavement Distress Detection Methods: A Review

2018

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“…On the basis of the tool adopted, specific input data are necessary, characterised by different accuracy and precision levels, and acquired by different technique, which contributes to determine the global performance and cost of a PMS. Several authors [21,26,27] focused their researches on the analysis of the relation between accidents and pavement conditions, expressed in term of common indices: according to the literature review Pavement Condition Index -PCI,…”

Section: As a Reference Guide For The Distress Classification The Mosmentioning

confidence: 99%

Pavement Distress Detection Methods: A Review

Ragnoli¹,

Blasiis²,

Benedetto³

2018

Preprint

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The road pavement condition affects safety and comfort, traffic and travel times, vehicles operating cost and emission levels. In order to optimize the road pavement management and guarantee satisfactory mobility conditions for all the road users, the Pavement Management System (PMS) is an effective tool for the road manager. An effective PMS requires the availability of pavement distress data, the possibility of data maintenance and updating, in order to evaluate the best maintenance program. In the last decade, many researches have been focused on pavement distress detection, using a huge variety of technological solutions for both data collection and information extraction and qualification. This paper presents a literature review of data collection systems and processing approach aimed at the pavement condition evaluation. Both commercial solutions and research approaches have been included. The main goal is to draw a framework of the actual existing solutions, considering them from a different point of view in order to identify the most suitable for further research and technical improvement, also considering the automated and semi-automated emerging technologies. An important attempt is to evaluate the aptness of the data collection and extraction to the type of distress, considering the distress detection, classification and quantification phases of the procedure.

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“…According to the general fatigue laws as per the radial deformation at the base of the asphalt layers, it is inferred that (Sun et al, 2003;Behiry, 2012. ): (Reyes, 2003;Khana et al, 2013) Various fatigue laws have been recommended to determine the acceptable limit of the vertical deformation (Table 2) These equations' general form is as follows (Behiry, 2012): Asphalt, 1981) Fatigue law for any type of bituminous mixture Shell, 1978) V ! = % of bitumen content s !…”

Section: Acceptable Radial Deformation At the Base Of The Asphalt Layersmentioning

confidence: 99%

“…= % of bitumen content s ! "# = mixture modulus in Pa Khana et al, 2013) Fatigue law developed by the US Army Corps of Engineers Verstraeten et al, 1982) Developed in the Belgium Road Research Center in 1982 Craus et al, 1984).…”

Section: Acceptable Radial Deformation At the Base Of The Asphalt Layersmentioning

confidence: 99%