Published January 1, 2013 | Version v1
Journal article Open

Asphalt concrete stability estimation from non-destructive test methods with artificial neural networks

  • 1. Suleyman Demirel Univ, Fac Tech Educ, Construct Educ Dept, TR-32260 Isparta, Turkey
  • 2. Istanbul Univ, Dept Civil Engn, Fac Engn, TR-34320 Avcilar, Turkey
  • 3. Suleyman Demirel Univ, Grad Sch Nat & Appl Sci, TR-32260 Isparta, Turkey
  • 4. Suleyman Demirel Univ, Fac Technol, Dept Mfg Engn, TR-32260 Isparta, Turkey

Description

The core drilling method has often been used to determine the current status of asphalt concretes. However, this method is destructive so causes damage to the asphalt concretes. In addition, this method causes localized points of weakness in the asphalt concretes and is time consuming. In recent years, non-destructive testing methods have been used for pavement thickness estimation, determination of elasticity modulus, and density and moisture measurements. In this study, the above-mentioned non-destructive and destructive tests with data obtained by applying the Marshall stability to the same asphalt concretes were estimated using the artificial neural networks approach.

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