Roughness represents a key parameter in pavement management System (PMS) as it affects, on one hand, safety of aircraft and user riding comfort on the other. In this paper the main results of an extensive experimental campaign aimed at characterizing the longitudinal and transversal variability of a runway pavement roughness are presented. 48 longitudinal profile alignments have been acquired on a runway of an Italian Regional Airport by means of a high-performance laser-based profiling devices. Spectral properties of runway profiles have been carefully analyzed in order to detect stationarity characteristics. Statistical analysis have been performed in order to identify optimal monitoring policies for maintenance purposes. By elaborating the acquired profile data together with cumulated traffic, it has been possible to develop a semi-empirical roughness degradation model that may assist the pavement engineer in the optimal allocation of maintenance interventions.
Nicolosi, V., D'Apuzzo, M., Giuliana, G., Mancini, L. (2009). Modeling roughness progression by measuremen of runway surface profiles. In Sixt International conference on maintenance and rehabilitation of pavement and technological control (pp.724-733). TORINO -- ITA : Ezio Santagata.
Modeling roughness progression by measuremen of runway surface profiles
NICOLOSI, VITTORIO;
2009-07-01
Abstract
Roughness represents a key parameter in pavement management System (PMS) as it affects, on one hand, safety of aircraft and user riding comfort on the other. In this paper the main results of an extensive experimental campaign aimed at characterizing the longitudinal and transversal variability of a runway pavement roughness are presented. 48 longitudinal profile alignments have been acquired on a runway of an Italian Regional Airport by means of a high-performance laser-based profiling devices. Spectral properties of runway profiles have been carefully analyzed in order to detect stationarity characteristics. Statistical analysis have been performed in order to identify optimal monitoring policies for maintenance purposes. By elaborating the acquired profile data together with cumulated traffic, it has been possible to develop a semi-empirical roughness degradation model that may assist the pavement engineer in the optimal allocation of maintenance interventions.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
