State of the Art. I: Resilient Response of Unbound Aggregates

By Fredrick Lekarp, U. Isacsson, A. Dawson. 2000

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The importance of modelling ballast particle shape in the discrete element method (2006, result): “of 40kN). It can be seen that the clumps show a more realistic load-deformation response than the spheres, comparing with available data for the cyclic loading of granular materials [ 12 ], in which it is usually observed that axial strain does not continue to increase beyond maximum load, but rathe”
Use of an Artificial Neural Network Approach for the Prediction of Resilient Modulus for Unbound Granular Material (2018, background): “, falling weight deflectometer (FWD)]; and (3) predict MR model coefficients from soil physical properties.”
Cyclic loading of railway ballast under triaxial conditions and in a railway test facility (2009, neutral): “is the sum of principle stresses and k1 and k2 are empirical constants; [ 10 ]) as shown in Fig.15.”