Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/274057
Full metadata record
DC FieldValueLanguage
dc.coverage.spatial
dc.date.accessioned2020-02-06T05:13:07Z-
dc.date.available2020-02-06T05:13:07Z-
dc.identifier.urihttp://hdl.handle.net/10603/274057-
dc.description.abstractPavements are imperative assets of highways which need timely maintenance for efficient use of road maintenance fund. The deferred pavement maintenance strategies results in huge economic loss and badly affects the development of any country. The available fund for road maintenance is also limited. Hence, for worthy utilization of road maintenance funds, it is required to assess the condition of pavements which needs to be maintained first and are in utter worst condition. Rural Roads of hilly terrain, India plays a vital role in the development of the country. For example, in state of Himachal Pradesh, with an increasing pace of rural road construction of 1000 kms per year and introduction of PMGSY, the total rural road network contribution in the state is approximately 26000 kms with 62% of tarred roads. In order to preserve this important asset, along with the rapid construction pace of this huge rural road network, simultaneous maintenance is also required in a timely manner. Prioritization of pavements is required in order to assess the pavement conditions and providing maintenance to the deprived one. Various pavement indexes such as Pavement Condition Index (PCI), newlineRoughness Index (RI), etc, have been used to assess the condition of pavements. In the present study, an attempt has been made to develop Rural Road Maintenance Priority Index (RRMPI) for rural road network of hilly terrain, India. Rural Road Maintenance Priority Index (RRMPI) is a function of overall functional condition index (OFCI) and overall structural condition index (OSCI). The proposed index i.e. RRMPI is an index of scale 0-100, in which 0 signifies worst condition of pavement and 100 signifies best condition of pavement. The proposed index is expected to provide better reflection of pavement condition and helps in prioritizing maintenance strategies. In the present study, the developed RRMPI has been used to select maintenance strategy for the selected 12 rural road stretches of hilly terrain in Himachal Pradesh. newlineAlso, the most importan
dc.format.extentxxxiv, 269p.
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titlePrioritization of Rural Roads Maintenance in Hilly Terrain
dc.title.alternative
dc.creator.researcherGupta, Aakash
dc.subject.keywordEngineering and Technology,Engineering,Engineering Civil
dc.subject.keywordfunctional evaluation
dc.subject.keywordPavement distresses
dc.subject.keywordprioritization index
dc.subject.keywordroughness index
dc.subject.keywordstructural evaluation
dc.description.note
dc.contributor.guideGupta, Ashok Kumar and Kumar, Ashish
dc.publisher.placeSolan
dc.publisher.universityJaypee University of Information Technology, Solan
dc.publisher.institutionDepartment of Civil Engineering
dc.date.registered27/07/2016
dc.date.completed2019
dc.date.awarded07/01/2020
dc.format.dimensions
dc.format.accompanyingmaterialDVD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Civil Engineering

Files in This Item:
File Description SizeFormat 
01_title.pdfAttached File106.48 kBAdobe PDFView/Open
02_certificate; declaration; acknowledgement.pdf324.57 kBAdobe PDFView/Open
03_table of contents; list of tables & figures; accronyms; abstract.pdf620.29 kBAdobe PDFView/Open
04_chapter 1.pdf2.07 MBAdobe PDFView/Open
05_chapter 2.pdf1.15 MBAdobe PDFView/Open
06_chapter 3.pdf2 MBAdobe PDFView/Open
07_chapter 4.pdf735.75 kBAdobe PDFView/Open
08_chapter 5.pdf507.42 kBAdobe PDFView/Open
09_chapter 6.pdf15.92 kBAdobe PDFView/Open
10_references.pdf218.94 kBAdobe PDFView/Open
11_publications.pdf87.2 kBAdobe PDFView/Open
12_appendix,a,b,c,d,e.pdf608.68 kBAdobe PDFView/Open


Items in Shodhganga are licensed under Creative Commons Licence Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0).

Altmetric Badge: