VOLCANO: EGU 2014. Advances in multiphase flow modeling and numerical simulation in volcanology

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EGU 2014: Advances in multiphase flow modeling and numerical simulation in volcanology
From: Tomaso Esposti Ongaro <ongaro@xxxxxxxxxx>
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Dear colleagues,
please consider submitting a paper to the forthcoming session 

GMPV34: Advances in multiphase flow modeling and numerical simulation in volcanology
at the European Geosciences Union 2014, 27 April–2 May, in Vienna. This session is co-sponsored by AGU.

We feel that there is a growing interest, in our community, on theoretical and computational aspects of multiphase flows, and on their role in the understanding and simulation of volcanic processes. 
This will be therefore a unique opportunity to gather people interested in presenting the physico-mathematical formulation, solution methods and computing aspects of multiphase flows and to discuss about open modeling problems and future challenges.
 
A detailed session description is given below. 
Please remember that abstract submission deadline is Wednesday, 16 January (13:00 CET).

We are looking forward to meeting you in Wien!
Best wishes,
Tomaso Esposti Ongaro

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Tomaso Esposti Ongaro, PhD.
Istituto Nazionale di Geofisica e Vulcanologia
Sezione di Pisa
Via della Faggiola 32
56126 Pisa
Italy
Ph. +39-0508311937
Fax +39-0508311942
email: ongaro@xxxxxxxxxx
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GMPV34: Advances in multiphase flow modeling and numerical simulation in volcanology
Link: http://meetingorganizer.copernicus.org/EGU2014/session/14900

Conveners: Tomaso Esposti Ongaro, Mattia de’ Michieli Vitturi, H.  Gonnermann, Jorn Sesterhenn, Amanda Clarke

Multiphase flows are fluid systems made of distinct components interacting each others by mass, momentum and energy exchange. Most multiphase flows can be described as a polydisperse phase (either gas bubbles, liquid droplets or solid particles of different sizes and densities) in a continuum fluid (either gaseous or liquid).
 
They are common in many earth environments and characterize the dynamics of erosion, transport and deposition of sediments, the atmospheric dispersal of dust, ash and aerosols, the flow in subsurface porous media and many other geophysical systems. 
In volcanology, multiphase flows are distinctive of a wide range of volcanic processes. In explosive eruptions, a polydisperse mixture of gas and pyroclasts, deriving from the fragmentation of a viscous, crystal-bearing, bubbly magma, is ejected from the volcanic conduit. During ascent from the magma chamber towards the surface, complex non-linear dynamics is associated to non-equilibrium multiphase processes such as crystallization and gas exsolution and rheological changes associated to the multiphase nature of magma and the diversity of melt properties. Above the fragmentation level and in the atmosphere, the different degrees of interphase coupling and concentrations of the disperse particulate phase characterize the different regimes of gas-particle flows, ranging from dilute, turbulent particle-laden flows to stratified pyroclastic density currents, to concentrated granular flows. 
Despite the well-established foundation and verification in laboratory regimes, multiphase flow processes in volcanic systems are still poorly understood or oversimplified. In the last years, however, the impressive advancement of High-Performance Computing has made possible to envisage numerical simulations of multiphase flows and to shed light on complex non-equilibrium processes at a geophysical scale. 

We hereby invite contributions focusing on modeling aspects of geophysical multiphase flows, including, but not limited to, the following topics: 

Equilibrium and non-equilibrium bubble dynamics 
Complex rheology of gas-liquid-solid mixtures 
Turbulent, dilute gas-particle flows 
Granular flows and fluidization phenomena 
Compressible regimes in multiphase mixtures 
Thermal properties and phase transitions in multiphase mixtures 
Developments in the continuum theory for disperse two-phase flows 
Subgrid turbulence models 
Flow in porous media
Numerical algorithms and high-performance computing

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