Li, GuangHe, WeiYang, BoYu, HongxiangHuang, NingHerrmann, Hans J.Zhang, Jie2022-01-312022-01-312022-01-312022-01-0110.1140/epje/s10189-021-00159-xhttps://infoscience.epfl.ch/handle/20.500.14299/185036WOS:000746617400003We report on an application of superstatistics to particle-laden turbulent flow. Four flush-mounted hot-film wall shear sensors were used to record the fluctuations of the wall shear stress in sand-laden flow. By comparing the scaling exponent in sand-free with that in sand-laden flows, we found that the sand-laden flow is more intermittent. By applying the superstatistics analysis to the friction velocity, we found that the large time scale is smaller when the flow is sand-laden. The probability density of a fluctuating energy dissipation rate measured in sand-laden flow follows a log-normal distribution with higher variances than for sand-free flow. The variance of this dissipation rate is a power law of the corresponding time scale. The prediction based on the superstatistics model is consistent with our structure function exponents sigma(n) for sand-free flow. Nevertheless, it overestimates sigma(n) for sand-laden flow, especially at higher Reynolds numbers.Chemistry, PhysicalMaterials Science, MultidisciplinaryPhysics, AppliedPolymer ScienceChemistryMaterials SciencePhysicsextended self-similarityreynolds-numbernumerical simulationslagrangian statisticsaccelerationvelocityfluiddunestext::journal::journal article::research article