Solid and fluid simulation for Industrial Processes
Fluid Mechanics
Principal Investigator
Ramon Codina
Overview
Research
Staff
Projects
Publications
CIMNE’s Fluid Mechanics Group develops advanced computational models for turbulent, compressible, and multiphysics flows (FSI, MHD, biofluids). Their work in finite element methods, adaptive meshing, and reduced-order modeling enables high-fidelity simulations for aerospace, energy, and biomedical applications.
The Fluid Mechanics Research Group at CIMNE is dedicated to advancing computational modelling and numerical simulation techniques for complex fluid dynamics problems in engineering and applied sciences.
The group develops high-precision mathematical models and innovative numerical methods to address a wide range of challenges – from high-speed compressible flows, turbulence and shallow water dynamics to aeroacoustics, viscoelastic fluids and biofluid mechanics.
Their expertise extends to multiphysics coupling, including fluid-structure interaction (FSI), magnetohydrodynamics (MHD) and thermal flows, enabling solutions for cutting-edge industrial and scientific applications.
A pioneer in advanced computational strategies, the group specialises in stabilised finite element methods, adaptive mesh refinement, embedded mesh techniques and reduced order modelling (ROM) to improve simulation efficiency and accuracy.
Their work supports critical applications such as aerospace design, environmental hydraulics, biomedical flows and energy systems, combining theoretical rigour with practical engineering solutions.
The group uses high performance computing (HPC) and optimisation algorithms to bridge fundamental research with real-world fluid dynamics challenges, driving innovation in both academy and industry.
Research areas
Stabilized FEM for Fluid Problems
Stabilized finite element methods for problems involving waves, viscoelastic flows, compressible flows, shallow water flows, magneto-hydro-dynamics and approximation of eigenvalues, finite strain solid dynamics and structural elements. (PI: R. Codina).
Efficient Time Integration Schemes
Including algebraic fractional step schemes for incompressible flows, adaptive time integration schemes and accuracy enhancement using artificial neural networks (PI: R. Codina).
Reduced Order Models (ROM) in Fluid Mechanics
Development of POD and adaptivity/Artificial-Neural-Network based reduced order models, with special emphasis on stabilization issues. (PIs: R. Codina and S. Idelsohn).
Acoustic Analogies in Incompressible Flows
Direct numerical simulation of sound, aero-acoustics in time dependent domains. With applications to the simulation of railway generated sound. (PIs: R. Codina and J. Baiges).
Topology Optimization in Fluid-Structure Interaction
This research line focuses on using h-adaptive methodologies, high performance computing and large scale parallelization. Application to metallic materials, plastics and concrete. (PIs: R. Codina).
Numerical Simulation of Additive Manufacturing Processes
Development of POD and adaptivity/Artificial-Neural-Network based reduced order models, with special emphasis on stabilization issues. (PIs: R. Codina and S. Idelsohn).
Enhanced Design for Industrial Casting Processes
Enhanced design environment for industrial casting processes on parallel computing platforms (Decast), providing advanced simulation of mould filling processes to determine the position of the molten metal, predict conflicting regions and compute filling times, accounting for thermal effects. The Decast technology keeps track of free surfaces through level set techniques, provides stabilized finite element approximations of Navier-Stokes equations and allows for Block-iterative coupling with temperature.
Innovative Upgradings of Loast Foam from Casting Processes
Mathematical and numerical modelling for lost foam casting. This provides a level set method to interface tracking, domain decomposition thermal coupling, fixed-mesh ALE method to cope with the domain deformation and stabilized finite element methods (FEM), including flow equations, heat equation, and level set transport.
Featured Projects
FEMUSS
FEMUSS is an advanced computational platform that uses sub-grid scale stabilized finite element methods to deliver high-fidelity, multiscale simulations for complex engineering problems. It allows for precise analysis and optimization across fluid flow, heat transfer,...
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