A machine learning approach to determine airport asphalt concrete layer moduli using heavy weight deflectometer data

HIGHLIGHTS

• who: Nicola Baldo and colleagues from the Polytechnic Department of Engineering and Architecture (DPIA), University of Udine, Via del Cotonificio, Department of Engineering, University of Palermo, Viale delle Scienze, Ed8, Palermo, Italy have published the Article: A Machine Learning Approach to Determine Airport Asphalt Concrete Layer Moduli Using Heavy Weight Deflectometer Data, in the Journal: Sustainability 2021, 8831 of 29/02/2012
• what: The aim of an APMS is to support the managing authority in identifying reliable and cost-effective strategies for preserving the pavement`s proper condition over time. The first number the current . . .
  

   

  

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