CFD Simulations in Complex Nuclear Containment Configurations

A. Mansour (), C. Kaltenbach () and E. Laurien ()
Additional contact information
A. Mansour: University of Stuttgart, Institute of Nuclear Technology and Energy Systems
C. Kaltenbach: University of Stuttgart, Institute of Nuclear Technology and Energy Systems
E. Laurien: University of Stuttgart, Institute of Nuclear Technology and Energy Systems

A chapter in High Performance Computing in Science and Engineering ' 18, 2019, pp 337-350 from Springer

Abstract: Abstract Two-phase flows with water droplets have a significant influence on the thermal-hydraulic behaviour within Pressurized Water Reactors PWR. Such flows take place in the form of spray cooling, inter alia, in French nuclear reactors. In the case of a leak in the primary circuit of a PWR, hot steam will be released in the containment, which results in a pressure and temperature increase. The spray system ensures the reduction of the containment pressure and may, thus, help to avoid nuclear incidents. This work presents firstly a CFD simulation of spray cooling as well as aerosol particle washout by means of a spray system in a real size nuclear containment. The parallel performance of the simulations within a two-room model containment called $$THAI^+$$ is also investigated. Due to the large size and geometric complexity of this configuration, numerical grids with high refinement levels have to be generated to get accurate simulation results. For this reason, a good scalable CFD code is indispensable in order to achieve accurate simulations in realistic computional times. Since another aim of this work is to define guidelines for the optimum use of computational resources, the scalability tests will be performed on four different grid styles with six mesh resolutions up to $$39{-}40\times 10^6$$ elements.

Date: 2019
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-13325-2_21

Ordering information: This item can be ordered from
http://www.springer.com/9783030133252

DOI: 10.1007/978-3-030-13325-2_21

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().