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Original Research Paper

An enhanced multiphase ISPH-based method for accurate modeling of oil spill

ORCID Icon, , &
Pages 625-646 | Received 23 Apr 2020, Accepted 24 Aug 2020, Published online: 03 Nov 2020
 

ABSTRACT

Accurate prediction of oil dispersion has been challenging due to its highly deformed/dispersed interface as well as small-scale oil-water mixing. In this paper, a refined Incompressible SPH (Smoothed Particle Hydrodynamics)-based method is proposed for simulations of oil spill problems. In the proposed method, the presence of oil is taken into consideration with concentration function and physical properties of computational points (particles), i.e. density and viscosity, are varied based on the concentration of oil. The proposed method incorporates a LES-based turbulence model, namely SPS (Sub-Particle-Scale) turbulence model, in order to capture small-scale turbulence effects. Diffusion equation is further implemented so as to reproduce the sub-particle-scale oil-water mixing effects. Interfacial surface tension is considered through potential-based modeling with consideration of the highly deformed/dispersed interface. A set of previously proposed refined schemes are also applied for accurate/robust simulations. The stability and accuracy of proposed ISPH-based method are investigated by conducting benchmark tests.

Highlights

  • A refined particle method is proposed for simulation of violent oil-water mixing problems.

  • Small-scale oil-water mixing is modeled with incorporation of sub-particle-scale turbulence model and diffusion equation.

  • Potential-based interfacial surface tension force model is extended for violent oil-water mixing problems.

  • Validations are carried out by considering several benchmark tests in terms of reproduced oil distributions.

  • The method is shown to have good accuracy and stability.

Acknowledgments

The authors would like to express their gratitude to Dr. Guangtao Duan at Waseda University and Dr. Zhangping Wei and Prof. Joseph Katz at Johns Hopkins University for kindly providing them with experimental data.

Disclosure statement

No potential conflict of interest was reported by the authors.

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