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Airport Pavement Distress Analysis
Airport pavement evaluation and surface condition assessment is the core topic of researchers today. When performing surveys for airport pavement surface conditions, it is desirable but not feasible to check all types of distresses that appeared in the pavement area of an airport. The Airport’s main operation areas are airside, consisting of a Runway, Taxiway, and Apron used for the takeoff, landing, and taxing, including Parking of the aircraft. The primary objective of evaluating pavement conditions is to focus on the current and future pavement conditions. The pavement conditions are assessed based on Surface distresses, which are collected manually or automatically and are primarily human-dependent, time-consuming, insufficient/or inefficient, and expensive. To this extent, the collection of literature in this review article focuses on identifying related research topics to assist in describing distress types, severity levels, and densities, including the procedure followed by researchers to analyze the pavement condition. The overall systematic literature review demonstrated the number of published articles from various Journals concentrating on the evaluation of pavement structures using traditional methods and provided an alternative solution relevant to this research area for identifying distress measurement and detection using Artificial intelligence. Finally, summarize the paper with a qualitative overview, and comparisons of different models based on quantitative, and qualitative with reflection due to limitations and restrictions and the possibility of expansion for future research work on the subject area for a better understanding and fast decision-making in airport pavement evaluation program.
Airport Pavement Distress Analysis
Airport pavement evaluation and surface condition assessment is the core topic of researchers today. When performing surveys for airport pavement surface conditions, it is desirable but not feasible to check all types of distresses that appeared in the pavement area of an airport. The Airport’s main operation areas are airside, consisting of a Runway, Taxiway, and Apron used for the takeoff, landing, and taxing, including Parking of the aircraft. The primary objective of evaluating pavement conditions is to focus on the current and future pavement conditions. The pavement conditions are assessed based on Surface distresses, which are collected manually or automatically and are primarily human-dependent, time-consuming, insufficient/or inefficient, and expensive. To this extent, the collection of literature in this review article focuses on identifying related research topics to assist in describing distress types, severity levels, and densities, including the procedure followed by researchers to analyze the pavement condition. The overall systematic literature review demonstrated the number of published articles from various Journals concentrating on the evaluation of pavement structures using traditional methods and provided an alternative solution relevant to this research area for identifying distress measurement and detection using Artificial intelligence. Finally, summarize the paper with a qualitative overview, and comparisons of different models based on quantitative, and qualitative with reflection due to limitations and restrictions and the possibility of expansion for future research work on the subject area for a better understanding and fast decision-making in airport pavement evaluation program.
Airport Pavement Distress Analysis
Iran J Sci Technol Trans Civ Eng
Noori, Hamid (author) / Sarkar, Raju (author)
2024-06-01
20 pages
Article (Journal)
Electronic Resource
English
Airport Pavement Distress Analysis
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