Zobrazeno 1 - 10
of 162
pro vyhledávání: '"Behrens, Jörn"'
Autor:
Rozier, Ezra, Behrens, Jörn
In convection-dominated flows, robustness of the spatial discretisation is a key property. While Interior Penalty Galerkin (IPG) methods already proved efficient in the situation of large mesh Peclet numbers, Arbitrary Lagrangian-Eulerian (ALE) metho
Externí odkaz:
http://arxiv.org/abs/2405.09408
Autor:
Angel, Judith, Behrens, Jörn, Götschel, Sebastian, Hollm, Marten, Ruprecht, Daniel, Seifried, Robert
Publikováno v:
Computers & Fluids 278, pp. 106321, 2024
Knowledge of the bottom topography, also called bathymetry, of rivers, seas or the ocean is important for many areas of maritime science and civil engineering. While direct measurements are possible, they are time consuming and expensive. Therefore,
Externí odkaz:
http://arxiv.org/abs/2404.05556
We introduce an efficient split finite element (FE) discretization of a y-independent (slice) model of the rotating shallow water equations. The study of this slice model provides insight towards developing schemes for the full 2D case. Using the spl
Externí odkaz:
http://arxiv.org/abs/1912.10335
Autor:
Simon, Konrad, Behrens, Jörn
We introduce a new framework of numerical multiscale methods for advection-dominated problems motivated by climate sciences. Current numerical multiscale methods (MsFEM) work well on stationary elliptic problems but have difficulties when the model i
Externí odkaz:
http://arxiv.org/abs/1905.08740
Publikováno v:
International Journal for Numerical Methods in Fluids, 2019
A novel wetting and drying treatment for second-order Runge-Kutta discontinuous Galerkin (RKDG2) methods solving the non-linear shallow water equations is proposed. It is developed for general conforming two-dimensional triangular meshes and utilizes
Externí odkaz:
http://arxiv.org/abs/1811.09505
Autor:
Simon, Konrad, Behrens, Jörn
Long simulation times in climate sciences typically require coarse grids due to computational constraints. Nonetheless, unresolved subscale information significantly influences the prognostic variables and can not be neglected for reliable long term
Externí odkaz:
http://arxiv.org/abs/1802.07684
Autor:
Rafliana, Irina, Jalayer, Fatemeh, Cerase, Andrea, Cugliari, Lorenzo, Baiguera, Marco, Salmanidou, Dimitra, Necmioğlu, Öcal, Ayerbe, Ignacio Aguirre, Lorito, Stefano, Fraser, Stuart, Løvholt, Finn, Babeyko, Andrey, Salgado-Gálvez, Mario A., Selva, Jacopo, De Risi, Raffaele, Sørensen, Mathilde B., Behrens, Jörn, Aniel-Quiroga, Iñigo, Del Zoppo, Marta, Belliazzi, Stefano, Pranantyo, Ignatius Ryan, Amato, Alessandro, Hancilar, Ufuk
Publikováno v:
In International Journal of Disaster Risk Reduction 15 February 2022 70
We present a novel meshless tsunami propagation and inundation model. We discretize the nonlinear shallow-water equations using a well-balanced scheme relying on radial basis function based finite differences. The inundation model relies on radial ba
Externí odkaz:
http://arxiv.org/abs/1705.09831
Autor:
Bauer, Werner, Behrens, Jörn
We introduce a new finite element (FE) discretization framework applicable for covariant split equations. The introduction of additional differential forms (DF) that form pairs with the original ones permits the splitting of the equations into topolo
Externí odkaz:
http://arxiv.org/abs/1703.07658