@Article{icces.2024.011674,
AUTHOR = {Zifei Meng, Pengnan Sun, Yang Xu},
TITLE = {Towards High Reynolds Number Flows by a High-Order SPH Method},
JOURNAL = {The International Conference on Computational \& Experimental Engineering and Sciences},
VOLUME = {31},
YEAR = {2024},
NUMBER = {1},
PAGES = {1--1},
URL = {http://www.techscience.com/icces/v31n1/58733},
ISSN = {1933-2815},
ABSTRACT = {DNS simulations on incompressible flows with high Reynolds number using meshfree methods remain an enduring challenge to be addressed. In the present work, we attempt to use a high-order SPH scheme (TENO-SPH) to make DNS simulations on high Reynolds number flows. To investigate this, several spatial reconstructions are applied under the Riemann-ALE-SPH framework, and their performances are compared. Particularly, the accuracy of SPH is significantly enhanced by WENO and TENO reconstructions. For free surface flows, we implement a Lagrangian TENO-SPH to reproduce these flows at different Reynolds numbers. More importantly, to make DNS simulations, the real kinematic viscosity of water of 8.9×10<sup>−7</sup> m<sup>2</sup>s<sup>−1</sup> is considered in several cases. For confined flows, we also develop an Eulerian TENO-SPH, and especially, a DNS simulation on a high Reynolds number flow (Re=10000) around an inclined NACA-0010 foil is compared with <i>k-ε</i> and <i>k-ω-SST</i> turbulence models, providing an alternative particle perspective on this problem.},
DOI = {10.32604/icces.2024.011674}
}