Experiments have been designed in the current study to obtain objectively assessed data which could be used for validating coarse-grained techniques such as Particle-In-Cell (PIC) or Coarse-Grained Discrete Element Model (DEM). Computations using conventional Langrangian-based strategies, for example DEM, pose a limitation while modeling industrialscale systems where particle counts become intractable. On the other hand, Eulerian Two-Fluid Model (TFM) is prone to inaccuracies while modeling static or near-static regions where the motion of solids is mainly governed by inter-particle friction . Also, adding multiple components to a TFM framework introduces greater uncertainty in constitutive relations . Coarse-grained techniques have thus been increasingly favored, however highquality data for benchmarking such methodologies are very scarce in literature.