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dc.contributor.author Pasindu, HR
dc.date.accessioned 2024-01-30T08:13:40Z
dc.date.available 2024-01-30T08:13:40Z
dc.date.issued 2018
dc.identifier.uri http://dl.lib.uom.lk/handle/123/22128
dc.description Following papers were published based on the results of this research project. 1. Sandamal, R.M.K. & Pasindu, H.R. (2020). “Applicability of Smartphone-based Roughness Data for Rural Road Pavement Condition Evaluation”. International Journal of Pavement Engineering, DOI: 10.1080/10298436.2020.1765243, https://doi.org/10.1080/10298436.2020.1765243 [Scopus & SCIE indexed]. 2. Pasindu, H.R., Ranawaka, R.K.T.K., Sandamal, R.M.K., & Dias, T.W.K.I.M. (2021). “Incorporating Road Safety into Rural Road Network Pavement Management” International Journal of Pavement Engineering, DOI: 10.1080/10298436.2021.1942469, https://doi.org/10.1080/10298436.2021.1942469, [Scopus & SCIE indexed]. 3. Pasindu, H.R., Sandamal, R.M.K. & Perera, M.Y.I. (2020).” A Framework for Network Level Pavement Maintenance Planning for Low Volume Roads”. In: Raab C. (eds) Proceedings of the 9th International Conference on Maintenance and Rehabilitation of Pavements—Mairepav9. Lecture Notes in Civil Engineering, Vol. 76. Springer, Cham, DOI: 10.1007/978-3-030-48679-2_11, http://doi.org/10.1007/978-3-030-48679-2_11 [Scopus indexed]. 4. Perera, M.Y.I., Pasindu, H.R. & Sandamal, R.M.K. (2019), "Pavement Maintenance Management System for Low Volume Roads in Sri Lanka," Moratuwa Engineering Research Conference (MERCon), Moratuwa, Sri Lanka, pp. 250-255. https://ieeexplore.ieee.org/document/8818873 [Scopus indexed]. en_US
dc.description.abstract Low volume roads which are playing a pivotal role in community development, transport of people, goods, and services. Limited funding, inability to collect extensive data, subjective ad-hoc maintenance decision making has resulted in suboptimal maintenance level for these road networks. Therefore, there is a need to develop a cost-effective simplified approach for network-level decision-making to assist in pavement maintenance management. The research is focused on identifying a cost-effective method to collect the required data to assess the pavement condition. Also, it comprises by identifying the maintenance strategies and respective thresholds for low volume roads which can be used in the decision tree to support the decision-making process. Moreover, developing an analytical framework for optimize network level pavement condition, incorporating the decision tree to eliminate the limitations of subjective maintenance decision making is the main analysis approach in this study. Finally, to incorporate objective functions which cannot be accommodated in single objective analysis, a multi-objective optimization analysis scheme is developed. The applicability of smartphone-based roughness data was explored to assess the pavement condition by validating with the conventional class III roughness measurement equipment. It was found that the reliability of smartphone roughness was high with correlation of 0.84. In addition to that, roughness capability of forecast distress level, prediction of overall condition was evaluated. The multiple regression models shown that raveling, pothole, cracking, patching have a good relationship with roughness progression in wider roads while edge breaking, and edge gap have significant impact in narrow roads. In the analysis framework genetic algorithm-based optimization approach was found as the best evaluation tool compared with the engineer’s objective decision making and linear programming especially in limited budget conditions. Moreover, the use of socio-economic importance as a secondary objective was better option, which gives priority to roads having higher socio-economic importance. en_US
dc.description.sponsorship Senate Research Committee en_US
dc.language.iso en en_US
dc.subject PAVEMENT MANAGEMENT SYSTEM en_US
dc.subject LOW VOLUME ROADS en_US
dc.subject SENATE RESEARCH COMMITTEE – Research Report en_US
dc.subject CIVIL ENGINEERING-Research en_US
dc.title Development of pavement management system for low volume roads en_US
dc.type SRC-Report en_US
dc.identifier.accno SRC183 en_US
dc.identifier.year 2018 en_US
dc.identifier.srgno SRC/LT/18/19 en_US


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