Soonseok Song

Ocean Engineering · 2017–2020

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Soonseok Song trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. F. Menter
  2. C. Argyropoulos

Papers from Soonseok Song's perspective

Ordered by how strongly the researchers Soonseok Song trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Review of the shear-stress transport turbulence model experience from an industrial perspective
  2. Recent advances on the numerical modelling of turbulent flows
  3. Investigation of self-propulsion of DARPA Suboff by RANS method
  4. Dynamic wall modeling for large-eddy simulation of complex turbulent flows
  5. A Scale-Adaptive Simulation Model for Turbulent Flow Predictions
  6. A New Model for Boundary Layer Transition Using a Single-Point RANS Approach
  7. A correlation-based transition model using local variables for unstructured parallelized CFD codes
  8. TRANSITION MODELLING BASED ON LOCAL VARIABLES
  9. Evolution of the two-phase flow in a vertical tube—decomposition of gas fraction profiles according to bubble size classes using wire-mesh sensors
  10. Ten Years of Industrial Experience with the SST Turbulence Model

Their papers