Abstract
Airport pavements should ensure regular and safe movements during their service life; the management body has to monitor the functional and structural characteristics, and schedule maintenance work, balancing the often conflicting goals of safety, economic and technical issues. This paper presents a remote monitoring system to evaluate the structural performance of a runway composed of concrete thresholds and a flexible central runway. Thermometers, strain gauges, and pressure cells will be embedded at different depths to continuously monitor the pavement’s response to traffic and environmental loads. An innovative system allows data acquisition and processing with specific calculation models, in order to inform the infrastructure manager, in real time, about the actual conditions of the pavement. In this way, the authors aim to develop a system that provides useful information for the correct implementation of an airport pavement management system (APMS) based on real-life data. Indeed, it permits comprehensive monitoring functions to be performed, based on the embedded sensing network.
Highlights
Pavements contribute to ensuring the safe and efficient operation of transport infrastructures [1,2]; they should be monitored over time, in order to prevent severe distresses due to the vertical and tangential forces transmitted by the aircraft, and thermo-hygrometric conditions [3]
The evaluation and prediction of the functional and structural performance of the pavements play a pivotal role in guaranteeing safety and regularity of operations [4]
A viscous elastic model or finite element models (FEM) are increasingly employed; they take into account non-linear elastic performances of asphalt materials
Summary
Pavements contribute to ensuring the safe and efficient operation of transport infrastructures [1,2]; they should be monitored over time, in order to prevent severe distresses due to the vertical and tangential forces transmitted by the aircraft, and thermo-hygrometric conditions [3]. The evaluation and prediction of the functional and structural performance of the pavements play a pivotal role in guaranteeing safety and regularity of operations [4]. With regard to the surface characteristics of the pavement, the international roughness index (IRI), pavement condition index (PCI), British pendulum number (BPN), and Boeing bumping index (BBI) [6,7,8] are the most frequent indices. With regard to the bearing capacity, the aircraft classification number/pavement classification number (ACN/PCN) method [9], defined by the International Civil Aviation
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