The statistical impact of experimental result scatter of asphalt mixtures on their numerical modelling
The paper presents selected test results of asphalt mixture conducted in low temperatures. The obtained parameters are highly diverse. It concerns ultimate breaking loads, stiffness parameters related to Young's modulus but also the fracture course. Statistical analysis upon the results makes it possible to relevantly estimate the material-defining parameter values. Such a random approach leads to the mean values of breaking and fracture-triggering loads, dealing with their dispersion too. The estimated parameters allow to form appropriate numerical models of asphalt mixture specimens. This type of analysis supports the laboratory tests. The paper presents the authors' simplified model considering non-uniform material features. The results reflect the scatter of real laboratory test outcomes. In order to do so an algorithm to calibrate the numerical model parameters was created.
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Cezary Szydłowski, Jarosław Górski, Marcin Stienss, Łukasz Smakosz. (2019). The statistical impact of experimental result scatter of asphalt mixtures on their numerical modelling, 262, 1-6. https://doi.org/10.1051/matecconf/201926205014
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