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Validation of the GPU-accelerated CFD solver ELBE for free surface flow problems in civil and environmental engineering
Citation Link: https://doi.org/10.15480/882.2415
Publikationstyp
Journal Article
Date Issued
2015-07-07
Sprache
English
Herausgeber*innen
Institut
TORE-DOI
TORE-URI
Journal
Volume
3
Issue
3
Start Page
354
End Page
385
Citation
Computation 3 (3): 354-385 (2015)
Publisher DOI
Scopus ID
Publisher
MDPI
This contribution is dedicated to demonstrating the high potential and manifold applications of state-of-the-art computational fluid dynamics (CFD) tools for free-surface flows in civil and environmental engineering. All simulations were performed with the academic research code ELBE (efficient lattice boltzmann environment, http://www.tuhh.de/elbe). The ELBE code follows the supercomputing-on-the-desktop paradigm and is especially designed for local supercomputing, without tedious accesses to supercomputers. ELBE uses graphics processing units (GPU) to accelerate the computations and can be used in a single GPU-equipped workstation of, e.g., a design engineer. The code has been successfully validated in very different fields, mostly related to naval architecture and mechanical engineering. In this contribution, we give an overview of past and present applications with practical relevance for civil engineers. The presented applications are grouped into three major categories: (i) tsunami simulations, considering wave propagation, wave runup, inundation and debris flows; (ii) dam break simulations; and (iii) numerical wave tanks for the calculation of hydrodynamic loads on fixed and moving bodies. This broad range of applications in combination with accurate numerical results and very competitive times to solution demonstrates that modern CFD tools in general, and the ELBE code in particular, can be a helpful design tool for civil and environmental engineers.
Subjects
ELBE code
wave propagation
Inundation
wave impact
debris flow
wave-current-induced loads
vortex-induced vibrations
lattice Boltzmann method
GPU
DDC Class
620: Ingenieurwissenschaften
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computation-03-00354(1).pdf
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