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Feasible treatment selection for routine maintenance of flexible pavement sing fuzzy logic expert system

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dc.contributor.author Kumar, R
dc.contributor.author Suman, SK
dc.contributor.author Singh, A
dc.contributor.editor Pasindu, HR
dc.contributor.editor Bandara, S
dc.contributor.editor Mampearachchi, WK
dc.contributor.editor Fwa, TF
dc.date.accessioned 2023-01-23T09:49:38Z
dc.date.available 2023-01-23T09:49:38Z
dc.date.issued 2021
dc.identifier.citation ***** en_US
dc.identifier.uri http://dl.lib.uom.lk/handle/123/20241
dc.description.abstract Pavement maintenance management system motivates to provide a scientific tool for maintenance and rehabilitation of roads pavement at desired serviceability levels. In view of the fund’s constraints and the need for judicious spending of available resources, the maintenance planning and budgeting are required to be done based on scientific methods. Unfortunately, the current maintenance practices are ad-hoc and subjective in nature. Pavement condition responsive maintenance is very useful for judicious disbursement of maintenance funds. The objective of this paper is to select a feasible treatment for routine maintenance based on pavement condition parameters of flexible pavement using Fuzzy Logic Expert System (FLES). Six different national highways have been selected to provide the maintenance based on the PCI, traffic volume, pavement age, precipitation, temperature and budget. FLES offers a convenient tool to better represent the uncertainty involved in pavement condition rating and assessment. The pavement maintenance treatment needs are generally determined based on the results of visual inspection, which in most of the cases does not give an adequate representation of pavement condition. Treatment selection FLES model has considered anticipated distresses-based condition index, anticipated traffic, and prevailing climate, age of the pavement and budget for treatments. Model predicts treatment types based upon their expected life. The triangular membership function for all the parameter is considered and analyzed with sufficient number of fuzzy rules as suggested by the maintenance engineers. The predicted result was compared with the twenty-five maintenance engineer’s responses, which shows homological results. Hence, this approach may provide an appropriate and economically viable maintenance treatment. en_US
dc.language.iso en en_US
dc.publisher Springer en_US
dc.subject Pavement treatments en_US
dc.subject FLES model en_US
dc.subject Pavement condition index en_US
dc.subject Budget en_US
dc.subject Climate en_US
dc.subject Expert response en_US
dc.title Feasible treatment selection for routine maintenance of flexible pavement sing fuzzy logic expert system en_US
dc.type Conference-Full-text en_US
dc.identifier.faculty Engineering en_US
dc.identifier.year 2021 en_US
dc.identifier.conference Road and Airfield Pavement Technology en_US
dc.identifier.pgnos pp. 167-183 en_US
dc.identifier.proceeding Proceedings of 12th International Conference on Road and Airfield Pavement Technology, 2021 en_US
dc.identifier.email rajnish.ce17@nitp.ac.in en_US
dc.identifier.email sksuman@nitp.ac.in en_US
dc.identifier.email ankitas.pg19.ce@nitp.ac.in en_US
dc.identifier.doi https://doi.org/10.1007/978-3-030-87379-0_12 en_US


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