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In an effort to overcome these deficiencies, a new numerical framework based on modified flamelet equations is proposed.
In this work, a numerical framework based on an Euler Lagrange approach is developed and used to perform and analyze large-scale simulations of two- and three-dimensional periodic fluidized beds.
In this work, a numerical framework based on the Eulerian Lagrangian approach is presented, where the turbulent dispersion and the inter-droplet hydrodynamic and electrical forces are carefully handled.
A numerical framework based on the generalized finite element method (GFEM) is developed to capture the coupled effects of thermomechanical deformations and thermal gradients on the regression rate of a heterogeneous solid propellant.
This new numerical framework based on a constant boundary element method has been efficiently applied to produce optimal TMS coils with arbitrary geometry, allowing the inclusion of new coil features in the design process, such as optimised maximum current density or reduced temperature.
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A numerical optimization framework based on coupled Genetic Algorithm (GA) and Finite Element Analysis (FEA) is developed and implemented for a low and a high fidelity model.
The numerical framework is based on the Element-Free Galerkin method and the principle of Maximum Entropy.
The numerical framework is based on the CLSVOF (coupled level set and volume-of-fluid) method, the THINC/WLIC (tangent of hyperbola for interface capturing/weighted line interface calculation) scheme, multi-moment methods (CIP-CSL and VSIAM3) and density-scaled CSF (continuum surface force) model within a balanced force formulation.
In this framework, the objective of the present paper is to calibrate a numerical model based on results of a cyclic test performed on a two-span RC beam built with plain bars, which was collected from an existing structure.
Numerical simulations have been conducted using the mesh-free computational framework based on the moving Kriging interpolation.
The main goal of the paper is to design and implement a framework based on the cellular automata (CA) method, which is dedicated to numerical simulations of microstructure evolution in metallic materials under thermal and mechanical processing.
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