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Kyaing, Kyaing
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Chemical Engineering, Chemistry & Bioengineering Education Engineering Mechanical Engineering

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Linking pavement condition index and international roughness index: Insights from rural roads in Myanmar Tun, Nandar; Kyaing, Kyaing; Aye, Moe Thet Thet
Journal of Engineering Researcher and Lecturer Vol. 3 No. 3 (2024): Regular Issue
Publisher : Researcher and Lecturer Society

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58712/jerel.v7i3.157

Abstract

There is no comprehensive understanding of the relationship between the Pavement Condition Index (PCI) and the International Roughness Index (PCI) in rural road in Myanmar, which is important for developing effective and efficient maintenance strategies. This study evaluated the relationship between the Pavement Condition Index (PCI) and the International Roughness Index (IRI) in flexible rural roads in Myanmar. The aim of this study is to examine how these two key variables correlate and how their relationship can optimize maintenance strategies. Data were collected from ten flexible rural roads in Shan State over 3 years, divided into 25-meter subsections per road. The analysis showed that PCI and IRI have a strong negative linear relationship, with an R-value (0.748) and an R-squared value (0.559). The study demonstrates the significance of IRI as a key predictor of pavement condition by showing that IRI can account for 55.9% of the variability in PCI. The study concluded that increasing IRI leads to a fall in the PCI, suggesting poorer pavement conditions. These findings emphasize incorporating IRI measurements in pavement maintenance planning to ensure smoother and safer roads, especially in rural areas. The results contribute to more effective and sustainable maintenance practices, optimizing resource allocation and extending pavement lifespan.
Linking pavement condition index and international roughness index: Insights from rural roads in Myanmar Tun, Nandar; Kyaing, Kyaing; Aye, Moe Thet Thet
Journal of Engineering Researcher and Lecturer Vol. 3 No. 3 (2024): Regular Issue
Publisher : Researcher and Lecturer Society

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58712/jerel.v7i3.157

Abstract

There is no comprehensive understanding of the relationship between the Pavement Condition Index (PCI) and the International Roughness Index (PCI) in rural road in Myanmar, which is important for developing effective and efficient maintenance strategies. This study evaluated the relationship between the Pavement Condition Index (PCI) and the International Roughness Index (IRI) in flexible rural roads in Myanmar. The aim of this study is to examine how these two key variables correlate and how their relationship can optimize maintenance strategies. Data were collected from ten flexible rural roads in Shan State over 3 years, divided into 25-meter subsections per road. The analysis showed that PCI and IRI have a strong negative linear relationship, with an R-value (0.748) and an R-squared value (0.559). The study demonstrates the significance of IRI as a key predictor of pavement condition by showing that IRI can account for 55.9% of the variability in PCI. The study concluded that increasing IRI leads to a fall in the PCI, suggesting poorer pavement conditions. These findings emphasize incorporating IRI measurements in pavement maintenance planning to ensure smoother and safer roads, especially in rural areas. The results contribute to more effective and sustainable maintenance practices, optimizing resource allocation and extending pavement lifespan.
An Analytical Hierarchy Process (AHP) Approach to Road Maintenance Prioritization: A Case Study in Shan State, Myanmar Tun, Nandar; Kyaing, Kyaing; Aye, Moe Thet Thet
Innovation in Engineering Vol. 1 No. 2 (2024): Regular Issue
Publisher : Researcher and Lecturer Society

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58712/ie.v1i2.9

Abstract

Maintaining rural roads plays an important role in the development of society and economy in Shan State, Myanmar. This study aims to prioritize road maintenance by employing the Analytical Hierarchy Process (AHP). There are four types of pavement distress: roughness, raveling, potholes, edge failure, and bleeding. Data collection was conducted and analyzed in ten rural roads by using an Excel-based tool to evaluate the AHP analysis. The findings significantly discussed awareness of road conditions and pavement maintenance requirements, and R4 had the highest level of priority to maintain. The study also compared the Pavement Condition Index (PCI) method with AHP results, highlighting acceptance and differences. Significant differences were noted for others due to the comprehensive nature of AHP when both methods ranked R5 and R6 typically within the top three. This research provides a systematic and transparent approach for prioritizing road maintenance, enhancing resource optimization and decision-making. Both AHP and PCI methods are integrated, and a comprehensive way is recommended to ensure thorough assessment and optimal use of resources to plan road maintenance. The study also contributes to improving the sustainability and performance of the rural road network, supporting broader economic and social goals in Shan State, Myanmar.
Co-Authors Aye, Moe Thet Thet Mon, Nan Htike Yee Tun, Nandar