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The model solves a coupled, chemically reacting, two-phase-flow problem.
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The integral model solves a one-dimensional equation for the thermal mass temperature and an equation for the volume-averaged air temperature inside the building.
The fluid dynamics model solves a set of partial differential equations that describe the conservation of mass, momentum, and energy, and constitutive equations describing the thermodynamic state of the mixture of pyroclasts, volcanic gas, and air.
The model solves a first order, no-linear differential equation using a 4th order Runge-Kutta numerical method and various input data (weather data, pond characteristics and flow rate data).
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The model solves numerically in an implicit, time-dependent manner the full Reynolds equations, in Cartesian, collocated grid arrangement.
The simulations are performed by using an electromagnetic model, solved in a finite element environment and a control model developed in MATLAB.
The method is successfully implemented in a one-dimensional model solved by a Picard iteration scheme.
Space elasticity is assumed to be polynomial and the model solved through a genetic algorithm and a gradient search heuristic.
The combined estimation of pathways and process parameters leads to a vast identification model, solved on a cluster server with 16 nodes (each node with 4 Core, 64-bit, 2.5 GHz processor), in over 130 hours.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.
Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com