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Lima, D., Santos, B., & Almeida, P. (2020). Proposal of an Airport Pavement Maintenance Management System for Cape Verde. KnE Engineering, 5(5), 49–60. https://doi.org/10.18502/keg.v5i5.6917

https://doi.org/10.18502/keg.v5i5.6917

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authors

  • Débora Lima

    Débora Lima

    Aeroportos e Segurança Aérea de Cabo Verde (ASA, S.A.), Ilha do Sal, Cabo Verde and University of Beira Interior, Department of Civil Engineering and Architecture, 6200-358 Covilhã, Portugal
  • Bertha Santos

    Bertha Santos

    University of Beira Interior, Department of Civil Engineering and Architecture, 6200-358 Covilhã, Portugal and CERIS, Civil Engineering Research and Innovation for Sustainability, 1049-001 Lisboa, Portugal
  • Pedro Almeida

    Pedro Almeida

    University of Beira Interior, Department of Civil Engineering and Architecture and GEOBIOTEC, GeoBioSciences, GeoTechnologies and GeoEngineering, 6200-358 Covilhã, Portugal

Published Date

  • May 3, 2020

Proposal of an Airport Pavement Maintenance Management System for Cape Verde

KnE Engineering / STARTCON19 - International Doctorate Students Conference + Lab Workshop in Civil Engineering / Pages 49–60

Abstract

In order to ensure safe and efficient operation of aircrafts, airport operators are faced with the need to maintain airport runway, taxiway and apron pavements in good condition, within a given budget. In this context, this paper describes the first developments and the methodological approach of a doctoral work with the following objectives: to improve and validate in-vehicle technique for pavement inspection using GNSS, video image capture and Geographic Information System, increasing the degree of automation of pavement distress identification; to develop a procedure for the definition of preventive maintenance strategies for airport pavements, adapted to Cape Verde airport system, using modelling techniques to predict pavement performance and definition of service and trigger levels; and also to develop or calibrate an existing computer application that can be used as a decision support tool.

References
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