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103

Aerodynamics and Fluid Mechanics

Numerical Modeling of Interface Networks

Motivation and Objectives

Multi-region problems can occur when the motion of

more than two immiscible fluids is to be described. In this

case the interface network, separating the different fluid

regions, evolves in time due to interactions of the different

fluids across interface segments. These interactions can

often be described by local fluid properties. Due to the

complexity of the topology, numerical modeling of the

evolution and interactions near the interface network are

long-standing challenges for the research community

Approach to Solution

We have developed a high-resolution transport formula-

tion of the regional level-set approach for an improved

prediction of the evolution of complex interface networks.

The approach thus offers a viable alternative to previous

interface-network level-set method.

Key Results

■■

High-resolution method for evolving complex interface

networks, S.C. Pan, X.Y. Hu, N.A. Adams, Computer

Physics Communication, accepted for publication 2017

■■

High-order time-marching re-initialization for regional

level-set functions. S.C. Pan, X.X. Lyu, X.Y. Hu N.A.

Adams, Journal of Computational Physics, accepted

for publication 2017

■■

Single-step re-initialization and extending algorithms

for level-setbased multi-phase flow simulations. L. Fu,

X.Y. Hu, N.A. Adams, accepted for publication 2017

Constant normal driven flow of an interface network with three regions at

different time instance

Key Results

■■

A weakly compressible SPH method based on a

low-dissipation Riemann solver, C. Zhang, X.Y. Hu,

N.A. Adams. Journal of Computational Physics 337

(2017) 216–232.

■■

A generalized transport-velocity formulation for

smoothed particle hydrodynamics, C. Zhang, X.Y. Hu,

Three-dimensional dam-

break problem simulated

with dp =H/30 (the total

fluid particle number

N=27000): free-surface

profile compared with

experiment.

N.A. Adams. Journal of Computational Physics 337

(2017) 216–232.

■■

Targeted ENO schemes with tailored resolution

property for hyperbolic conservation laws, L. Fu, X.Y.

Hu, N.A. Adams, Journal of Computational Physics 349

(2017) 97–121.