Improvements in Pavement Roughness Index for Airports Using Hilbert-Huang Transform
Date Issued
2010
Date
2010
Author(s)
Wang, Ya-Chun
Abstract
Pavement roughness index for airports is important for flight safety, and it relates to dynamic response of aircraft closely. While aircrafts take-off, land or taxi on roughness runway, it could cause passengers feel uncomfortable. In the worst case, pilots could operate hardly by the severe shock, and both aircraft structure and pavement structure could have fatigue damage. To avoid influence of these cases on flight safety, airport managers need a good pavement roughness index for airports.
The objective of this research based on PRIA to improve the algorithm by changing signal analysis method and adding runway situations as parameters, such as aircraft velocity, touchdown/take-off point and ratio of aircraft types in the same airport. According to the previous researches, HHT is one method to analyze nonlinear and non-stationary signal, and it is suitable for pavement profile analysis. In order to develop a better index, this research used HHT to decompose profile into parts of IMF, and established the correlation among observed aircraft types, speed distribution and various wavelengths by simulation. Finally, PRIA2 was determined by different airports parameters, and the threshold was determined by the maximum acceptable vertical acceleration 0.4g which is NASA recommended.
Because PRIA2 used HHT to analyze profile and add the concept of frequency of aircrafts take-off/land/taxi on runway sections, PRIA2 could not only provide information of pavement management, but also provide a real runway-to-aircraft dynamic response.
Subjects
Runway Roughness
Wavelength
Aircraft Dynamic Response
Index
Type
thesis
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