A Broad-Based Decision-Making Procedure for Runway Friction Decay Analysis in Maintenance Operations

Salvatore Antonio Biancardo, Francesco Abbondati, Francesca Russo, Rosa Veropalumbo and Gianluca Dell’Acqua
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Salvatore Antonio Biancardo: Department of Civil, Construction and Environmental Engineering, Federico II University of Naples, 34102 Naples, Italy
Francesco Abbondati: Department of Engineering, University of Naples Parthenope, 34102 Naples, Italy
Francesca Russo: Department of Civil, Construction and Environmental Engineering, Federico II University of Naples, 34102 Naples, Italy
Rosa Veropalumbo: Department of Civil, Construction and Environmental Engineering, Federico II University of Naples, 34102 Naples, Italy
Gianluca Dell’Acqua: Department of Civil, Construction and Environmental Engineering, Federico II University of Naples, 34102 Naples, Italy

Sustainability, 2020, vol. 12, issue 9, 1-21

Abstract: The evaluation of friction is a key factor in monitoring and controlling runway surface characteristics. For this reason, specific airport management and maintenance are required to continuously monitor the performance characteristics needed to guarantee an adequate level of safety and functionality. In this regard, the authors conducted years of experimental surveys at airports including Lamezia Terme International Airport. The surveys aimed to monitor air traffic, features of geometric infrastructure, the typological and physical/mechanical characteristics of pavement layers, and runway maintenance planning. The main objective of this study was to calibrate specific models to examine the evolution of friction decay on runways in relation to traffic loads. The reliability of the models was demonstrated in the light of the significance of the friction measurement patterns by learning algorithms and considering the traffic data by varying the geometric and performance characteristics of the aircraft. The calibrated models can be implemented into pavement management systems to predict runway friction degradation, based on aircraft loads during the lifetime of the surface layers of the pavement. It is thus possible to schedule the maintenance activities necessary to ensure the safety of landing and takeoff maneuvers.

Keywords: airport pavement management system (APMS); landing and takeoff safety; learning algorithms; runway friction decay modeling; maintenance scheduling (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2020
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