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A platform for research: civil engineering, architecture and urbanism
Data Requirements from Falling Weight Deflectometer Tests for Accurate Backcalculation of Dynamic Modulus Master Curve of Asphalt Pavements
Dynamic modulus (|E*|) master curve is a fundamental material property for an asphalt pavement. It is also a key input to DARWin-METM, a pavement design and analysis software that can predict progression of distresses. Backcalculation of |E*| master curve of an in-service pavement using falling weight deflectometer (FWD) data can lead to more accurate estimation of its remaining service life (with the aid of DARWin-METM). However, backcalculation of the entire |E*| master curve, including the time-temperature superposition shift factor coefficients, requires more data than the surface deflection time-histories of a single FWD drop. This paper presents a novel |E*| backcalculation algorithm that is based on a genetic optimization methodology and a layered viscoelastic forward solution. The main objective of this work was to estimate a set of temperatures where FWD tests should be conducted to maximize the portion of the |E*| master curve that can be accurately backcalculated. The results indicate that there exists a range of temperatures (of FWD testing) at which the FWD response leads to better inverse solutions.
Data Requirements from Falling Weight Deflectometer Tests for Accurate Backcalculation of Dynamic Modulus Master Curve of Asphalt Pavements
Dynamic modulus (|E*|) master curve is a fundamental material property for an asphalt pavement. It is also a key input to DARWin-METM, a pavement design and analysis software that can predict progression of distresses. Backcalculation of |E*| master curve of an in-service pavement using falling weight deflectometer (FWD) data can lead to more accurate estimation of its remaining service life (with the aid of DARWin-METM). However, backcalculation of the entire |E*| master curve, including the time-temperature superposition shift factor coefficients, requires more data than the surface deflection time-histories of a single FWD drop. This paper presents a novel |E*| backcalculation algorithm that is based on a genetic optimization methodology and a layered viscoelastic forward solution. The main objective of this work was to estimate a set of temperatures where FWD tests should be conducted to maximize the portion of the |E*| master curve that can be accurately backcalculated. The results indicate that there exists a range of temperatures (of FWD testing) at which the FWD response leads to better inverse solutions.
Data Requirements from Falling Weight Deflectometer Tests for Accurate Backcalculation of Dynamic Modulus Master Curve of Asphalt Pavements
Varma, Sudhir (author) / Kutay, M. Emin (author) / Chatti, Karim (author)
2013 Airfield & Highway Pavement Conference ; 2013 ; Los Angeles, California, United States
Airfield and Highway Pavement 2013 ; 445-455
2013-06-18
Conference paper
Electronic Resource
English
Backcalculation of Dynamic Modulus Mastercurve from Falling Weight Deflectometer Surface Deflections
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