Asphalt Mix Master Curve Construction Using Sigmoidal Fitting Function with Non-Linear Least Squares Optimization
Publication: Recent Advances in Materials Characterization and Modeling of Pavement Systems
Abstract
This paper presents a new simplified method of constructing a master curve of asphalt mix using test data covering a large range of temperatures from –18°C to 55°C. It utilizes sigmoidal fitting function and compressive cyclic (complex) modulus test data obtained at matrix combination of different frequencies and test temperatures. In the master curve construction, the time temperature superposition was modeled two different ways. First, using known time-temperature superposition equations, and second, shilling test data experimentally, i.e., not assuming any functional form for the time-temperature relationship. The master curve construction was done using an Excel spreadsheet with the solver function, which is a tool for performing optimization with non-linear least squares regression technique. The analysis of over sixty mixtures indicated that the experimental approach agreed the best with the Arrhenius shifting equation, correlation coefficient R2 being 0.922. Also, the experimental shifting was most flexible, producing the best fit among the studied shifting equations due to the fact that it has the most degree of freedom.
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Copyright
© 2004 American Society of Civil Engineers.
History
Published online: Apr 26, 2012
ASCE Technical Topics:
- Analysis (by type)
- Construction engineering
- Construction methods
- Curvature
- Engineering fundamentals
- Field tests
- Geometry
- Least squares method
- Materials engineering
- Materials processing
- Mathematics
- Measurement (by type)
- Models (by type)
- Nonlinear analysis
- Optimization models
- Regression analysis
- Statistical analysis (by type)
- Structural analysis
- Structural engineering
- Temperature effects
- Temperature measurement
- Tests (by type)
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