Sustainable development of simulation setups and addons for OpenFOAM for nuclear reactor safety research

被引:3
|
作者
Lehnigk, Ronald [1 ]
Bruschewski, Martin [2 ]
Huste, Tobias [1 ]
Lucas, Dirk [1 ]
Rehm, Markus [3 ]
Schlegel, Fabian [1 ]
机构
[1] Helmholtz Zent Dresden Rossendorf EV, Bautzner Landstr 400, D-01328 Dresden, Germany
[2] Univ Rostock, Chair Fluid Mech, Albert Einstein Str 2, D-18059 Rostock, Germany
[3] Framatome GmbH, Paul Gossen Str 100, D-91052 Erlangen, Germany
关键词
computional fluid dynamics; OpenFOAM; reactor cooling system; verification and validation;
D O I
10.1515/kern-2022-0107
中图分类号
TL [原子能技术]; O571 [原子核物理学];
学科分类号
0827 ; 082701 ;
摘要
Open-source environments such as the Computational Fluid Dynamics software OpenFOAM are very appealing for research groups since they allow for an efficient prototyping of new models or concepts. However, for downstream developments to be sustainable, i.e. reproducible and reusable in the long term, a significant amount of maintenance work must be accounted for. To allow for growth and extensibility, the maintenance work should be underpinned by a high degree of automation for repetitive tasks such as build tests, code deployment and validation runs, in order to keep the focus on scientific work. Here, an information technology environment referred to as OpenFOAM_RCS is presented that aids the centralized maintenance of simulation code and setup files for OpenFOAM developments concerned with reactor coolant system safety research. It fosters collaborative developments and review processes. State-of-the-art tools for managing software developments are adapted to meet the requirements of OpenFOAM. A flexible approach for upgrading the underlying installation is proposed, based on snapshots of the OpenFOAM development line rather than yearly version releases, to make new functionality available when needed by associated research projects. The process of upgrading within so-called sprint cycles is accompanied by several checks to ensure compatibility of downstream code and simulation setups. Furthermore, the foundation for building a validation data base from contributed simulation setups is laid, creating a basis for continuous quality assurance.
引用
收藏
页码:131 / 140
页数:10
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