
This course provides an introduction to Computational Fluid Dynamics (CFD) with an emphasis on the fundamental principles that govern the implementation of CFD in practical applications.

Comprehensive exploration of finite element modeling for various welding processes, covering theory, techniques, and applications in fusion, solid-state, and advanced welding methods.

Comprehensive exploration of computational fluid dynamics, covering mathematical foundations, discretization methods, and numerical techniques for solving fluid flow problems.

This course looks at all the aspects theoretical, numerical, and application aspects of computational fluid dynamics. Computational fluid dynamics (CFD) has become an essential tool in the analysis and design of thermal and fluid flow systems in a wide r…

Explore cutting-edge developments in high-order spectral element solvers for computational fluid dynamics, including multiphysics simulations and machine learning integration.

Explore finite element modeling of magnetic fields using Julia in this TU Delft master course. Implement mathematical models and collaborate on real-world projects with industry partners.

Explore the foundations of hydraulic modeling, from conservation principles to Saint-Venant equations, with real-world analogies and expert insights on key concepts like the Courant Number and solution methods.

Explore the evolution of bone-crushing hyenas and dogs, their unique adaptations, and the convergent evolution between these powerful predators of the Cenozoic era.

Explore machine learning techniques to enhance numerical PDE simulations, focusing on acceleration, surrogate modeling, and improved physical representation for complex physics and engineering systems.

Explora nuevos métodos de elementos finitos mixtos para difusión asistida por pseudoestrés, basados en espacios de Banach.

Aprofunde-se em métodos numéricos avançados para equações diferenciais parciais, explorando técnicas e aplicações em nível de doutorado.

Explore advanced numerical methods for solving partial differential equations in this doctoral-level lecture, focusing on cutting-edge techniques and applications in mathematical modeling.

Explores stability and discretization techniques for elliptic inverse parameter problems in elastography, focusing on shear modulus recovery in biological tissues for breast tumor detection. Discusses theoretical challenges and practical solutions.

Explore advanced FEA techniques in Fusion 360 to enhance product performance, focusing on thermal analysis and design optimization for LED internals.

Explore advanced FEA topics, options, and troubleshooting techniques in this webinar. Learn about manual contact creation, loading options, material setup, mesh settings, and result interpretation.

Optimal convergence rates for Galerkin approximations of generalized Whittle-Matern fields in Hölder and Sobolev norms, covering spectral and finite element methods for Gaussian random fields.

Explore advanced finite element methods for non-variational elliptic PDEs, focusing on two-scale approaches, monotonicity enforcement, and novel error estimation techniques for complex mathematical problems.

Explore non-conforming finite elements in 2D and 3D, focusing on Crouzeix-Raviart type. Learn about optimal a priori estimates, jump conditions, and explicit representations of local basis functions.

Explore the convergence theory of adaptive finite element methods for elliptic PDEs, including approximation classes and optimal convergence rates.

Explore advanced numerical methods combining ALE approach and adaptive remeshing for finite element simulations, enhancing accuracy and efficiency in complex engineering problems.

Explore statistical finite element methods for digital twinning of structures, enhancing predictive accuracy by integrating sensor data with traditional models. Case study: railway bridge application.