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Sensors (Basel). 2017 Dec 26;18(1). pii: E44. doi: 10.3390/s18010044.

Use of Terrestrial Laser Scanner for Rigid Airport Pavement Management.

Author information

1
Department of Civil, Chemical, Environmental, and Materials Engineering-Advanced Research Center on Electronic Systems, University of Bologna, 40136 Bologna, Italy. maurizio.barbarella@unibo.it.
2
Department of Engineering, University of Roma TRE, 00146 Rome, Italy. fabrizio.damico@uniroma3.it.
3
Department of Engineering, University of Roma TRE, 00146 Rome, Italy. mariarosaria.deblasiis@uniroma3.it.
4
Department of Engineering, University of Roma TRE, 00146 Rome, Italy. alessandro.dibenedetto@uniroma3.it.
5
Department of Civil Engineering, University of Salerno, 84084 Fisciano (SA), Italy. m.fiani@unisa.it.

Abstract

The evaluation of the structural efficiency of airport infrastructures is a complex task. Faulting is one of the most important indicators of rigid pavement performance. The aim of our study is to provide a new method for faulting detection and computation on jointed concrete pavements. Nowadays, the assessment of faulting is performed with the use of laborious and time-consuming measurements that strongly hinder aircraft traffic. We proposed a field procedure for Terrestrial Laser Scanner data acquisition and a computation flow chart in order to identify and quantify the fault size at each joint of apron slabs. The total point cloud has been used to compute the least square plane fitting those points. The best-fit plane for each slab has been computed too. The attitude of each slab plane with respect to both the adjacent ones and the apron reference plane has been determined by the normal vectors to the surfaces. Faulting has been evaluated as the difference in elevation between the slab planes along chosen sections. For a more accurate evaluation of the faulting value, we have then considered a few strips of data covering rectangular areas of different sizes across the joints. The accuracy of the estimated quantities has been computed too.

KEYWORDS:

algorithms; concrete pavement; faulting; software; terrestrial laser scanner

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