Use of falling weight deflectometer multi-load data for pavement strength estimation
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Use of falling weight deflectometer multi-load data for pavement strength estimation

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  • English

  • Details:

    • Alternative Title:
      Use of FWD multi-load data for pavement strength estimation
    • Publication/ Report Number:
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    • Edition:
      Final Report; July 1999 - June 2001
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    • Abstract:
      The objective of this study is to develop a mechanistic-empirical method for assessing pavement layer conditions and

      estimating the remaining life of flexible pavements using multi-load level Falling Weight Deflectometer (FWD) deflections. A

      dynamic finite element program, incorporating a stress-dependent soil model, was developed to generate the synthetic deflection

      database. Based on this synthetic database, the relationships between surface deflections and critical pavement responses, such as

      stresses and strains in each individual layer, have been established. A condition assessment procedure for asphalt pavements that

      uses multi-load level FWD deflections has been developed using these relationships. The verification study was conducted using

      field data. The results indicate that the proposed procedure can estimate the base and subgrade layer conditions. It was found

      from the study for the nonlinear behavior of a pavement structure that an FWD test with a load of 12 kip or less does not result in

      any apparent nonlinear behavior of the subgrade in aggregate base pavements. The study also indicated that the deflection ratio

      obtained from multi-load level deflections may predict the type and quality of the base/subgrade materials. With regard to the

      condition assessment of the asphalt concrete (AC) layer, the AC layer modulus and the tensile strain at the bottom of the AC

      layer were found to be better indicators than deflection basin parameters.

      The procedures for performance prediction of fatigue cracking and rutting were developed for flexible pavements. The

      drastically increasing trend in fatigue cracking with time may not be predicted accurately using the proposed procedure. Such

      trends may be due to the environmental effects and the inconsistent distress measurements. Predicted rut depths using multi-load

      level deflections show good agreement with measured rut depths over a wide range of rutting. However, the procedure using

      single load level deflections consistently underpredicts the rut depths. It was concluded that the rutting prediction procedure

      using multi-load level deflections can estimate an excessive level of rutting quite well and, thus, improve the quality of prediction

      for rutting potential in flexible pavements.

      The layer condition assessment procedure and the remaining life prediction algorithms developed in this project were

      incorporated into APLCAP (Asphalt Pavement Layer Condition Assessment Program) version 2.0, the VisualBasic program

      developed under the NCHRP 10-48 project.

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