Applying Data Mining Technique to Compute LDE for Rutting Through Full Scale Accelerated Pavement Testing

Excessive overloads on trucks are a strong factor in accelerating highway pavement damage. This paper describes a study which developed a model for predicting rutting performance and determining the Load Damage Exponent (LDE) that establishes the relationship between overload and the related damage. Find Laws, which is a data mining technique, was used for establishing the rutting prediction model using different test pavements. The data mining technique was used for developing a rutting prediction equation using wheel load, load repetition, and structural number (SN) (an index indicating total pavement structure capacity) as inputs.

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  • Authors:
    • Chen, Tung-Tsan
    • Chang, Jia-Ruey
    • Chen, Dar-Hao
  • Publication Date: 2008-4


  • English

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Filing Info

  • Accession Number: 01110078
  • Record Type: Publication
  • Source Agency: UC Berkeley Transportation Library
  • Files: BTRIS, TRIS, ATRI
  • Created Date: Aug 31 2008 8:11AM