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Simulating complex fluids with smoothed particle hydrodynamics
Author(s)
Language
English
Obiettivo Specifico
5V. Dinamica dei processi eruttivi e post-eruttivi
Status
Published
JCR Journal
JCR Journal
Peer review journal
Yes
Title of the book
Issue/vol(year)
/60 (2017)
Pages (printed)
PH699
Issued date
2017
Abstract
Complex fluid dynamics encompasses a large variety of
flows, such as fluids with non-Newtonian rheology, multiphase
and multi-fluid flows (suspensions, lather, solid/fluid
interaction with floating objects, etc.), violent flows breaking
waves, dam-breaks, etc.), fluids with thermal dependencies
and phase transition or free-surface flows. Correctly modeling
the behavior of such flows can be quite challenging, and has
led to significant advances in the field of Computational
Fluid Dynamics (CFD). Recently, the Smoothed Particle Hydrodynamics
(SPH) method has emerged as a powerful alternative
to more classic CFD methods (such as finite volumes
or finite elements) in many fields, including oceanography,
volcanology, structural engineering, nuclear physics and
medicine. With SPH, the fluid is discretized by means of particles
and thanks to the meshless, Lagrangian nature of the
model, it easily allows the modeling and simulation of both
simple and complex fluids, simplifying the treatment of aspects
that can be challenging with more traditional methods:
dynamic free surfaces, large deformations, phase transition,
fluid/solid interaction and complex geometries. In addition,
the most common SPH formulations are fully parallelizable,
which favors implementation on high-performance parallel
computing hardware, such as modern Graphics Processing
Units (GPUs). We present here how GPUSPH, an implementation
of the SPH method that runs on GPUs, can model
a variety of complex fluids, highlighting the computational
challenges that arise in its applications to problem of great
interest in volcanology.
flows, such as fluids with non-Newtonian rheology, multiphase
and multi-fluid flows (suspensions, lather, solid/fluid
interaction with floating objects, etc.), violent flows breaking
waves, dam-breaks, etc.), fluids with thermal dependencies
and phase transition or free-surface flows. Correctly modeling
the behavior of such flows can be quite challenging, and has
led to significant advances in the field of Computational
Fluid Dynamics (CFD). Recently, the Smoothed Particle Hydrodynamics
(SPH) method has emerged as a powerful alternative
to more classic CFD methods (such as finite volumes
or finite elements) in many fields, including oceanography,
volcanology, structural engineering, nuclear physics and
medicine. With SPH, the fluid is discretized by means of particles
and thanks to the meshless, Lagrangian nature of the
model, it easily allows the modeling and simulation of both
simple and complex fluids, simplifying the treatment of aspects
that can be challenging with more traditional methods:
dynamic free surfaces, large deformations, phase transition,
fluid/solid interaction and complex geometries. In addition,
the most common SPH formulations are fully parallelizable,
which favors implementation on high-performance parallel
computing hardware, such as modern Graphics Processing
Units (GPUs). We present here how GPUSPH, an implementation
of the SPH method that runs on GPUs, can model
a variety of complex fluids, highlighting the computational
challenges that arise in its applications to problem of great
interest in volcanology.
Type
article
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