UGC Approved Journal no 63975(19)

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Published in:

Volume 5 Issue 2
February-2018
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR18MG030


Registration ID:
180340

Page Number

151-159

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Title

Determination of Bump Indicator and International Roughness Index from Pavement Condition Index

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Abstract

Pavement failure is defined in terms of decreasing serviceability caused by the development of cracks and ruts. Collection and analysis of pavement distress data is a significant component for effective long-term pavement performance. Accurate, consistent, and repeatable pavement distress type’s evaluation can reduce a tremendous amount of time and money that is been spent each year on maintenance and rehabilitation of existing pavement distress. In the road management process, an evaluation of road pavement conditions is one of the most important aspects required to guarantee adequate functional standards and a suitable maintenance program. An awareness of pavement conditions is necessary in order to be able to program short, medium and long-term maintenance works within a systematic management system i.e., Pavement Management System, which permits available resources to be optimized, guaranteeing the functional standards and pre-established safety standards are always met. Pavement distresses and surface roughness is an important measure of road condition. The relationship between the surface distress of an asphalt pavement and its roughness, as conveyed respectively by the pavement condition index (PCI) and the international roughness index (IRI) and Bump Indicator (BI) is mainly determined in this project. The long term objective is to derive sound and effective methods to assess asphalt pavement conditions, while PCI is based on subjective rating of the number of pavement distresses. This study explains about survey method to find PCI data. The study suggests that most of these pavement indices are related as a result of which several jurisdictions have developed models to predict one index from other. This study estimates the PCI data to predict BI from IRI by functional classification and by pavement type

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"Determination of Bump Indicator and International Roughness Index from Pavement Condition Index", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 2, page no.151-159, February-2018, Available :http://www.jetir.org/papers/JETIR18MG030.pdf

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2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Determination of Bump Indicator and International Roughness Index from Pavement Condition Index", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 2, page no. pp151-159, February-2018, Available at : http://www.jetir.org/papers/JETIR18MG030.pdf

Publication Details

Published Paper ID: JETIR18MG030
Registration ID: 180340
Published In: Volume 5 | Issue 2 | Year February-2018
DOI (Digital Object Identifier):
Page No: 151-159
Country: HYDERABAD, Telangana, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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