Micromechanics and analogical models for forward and inverse problems in asphalt materials low temperature characterization.
2010-08
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Micromechanics and analogical models for forward and inverse problems in asphalt materials low temperature characterization.
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2010-08
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Abstract
The use of increased proportions of Reclaimed Asphalt Pavement (RAP) in the
construction of asphalt pavements has become a top priority due to its economical and
environmental benefits. However, the blending process that occurs during mixing
between the new virgin binder and the RAP aged binder is not well understood, and the
question if total blending occurs or other mechanisms takes place that influence the
effective properties of the mixture remains unanswered. For many years, various models
have been developed and used to predict the composite asphalt mixture properties from
the properties of the components.This type of approach is generally known as forward
problem. More recently, researchers started to investigate the possibility of predicting
binder properties Rom mixture properties (inverse problem).
In this dissertation the inverse problem of obtaining asphalt binder properties Rom
asphalt mixture properties at low temperature is investigated. First an extensive literature
review of the models available is performed. Then the forward problem of predicting the
asphalt mixture properties from asphalt binder properties is investigated using one semi-
data obtained with the Bending Beam Rheometer (BBR). Next, the same two models are
applied to predict the binder properties from the mixture properties. Then, based on Huet
model, expressions that relates the asphalt mixture stiffness to the asphalt binder stiffness
and vice versa are obtained.
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University of Minnesota M.S. thesis. August 2010. Major: Civil Engineering. Advisor: Mihai Marasteanu. 1 computer file (PDF); ix, 76 pages, appendix A. Ill. (some col.)
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Falchetto, Augusto Cannone. (2010). Micromechanics and analogical models for forward and inverse problems in asphalt materials low temperature characterization.. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/101628.
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