High pressure superheated or saturated steam line breaks in a nuclear power plant generate high speed jet flows and blast waves. The jet loads and blast wave pressures can damage critical nuclear power plant components. An accurate assessment of these effects including uncertainty quantification (UQ), is essential to confirm that design is robust enough to handle jet flows and blast waves from postulated steam line breaks. This paper presents the verification and validation of a computational model created using a commercial CFD code for making such assessments. The verification and validation process involves the steps of application space parametrization, Phenomena Identification and Ranking (PIR), CFD model lockdown, selection of validation dataset, and calculation of formal validation metrics. The Uncertainty Quantification in the actual application should include the propagated validation uncertainties from the validation test problems.
Skip Nav Destination
ASME 2016 Power Conference collocated with the ASME 2016 10th International Conference on Energy Sustainability and the ASME 2016 14th International Conference on Fuel Cell Science, Engineering and Technology
June 26–30, 2016
Charlotte, North Carolina, USA
Conference Sponsors:
- Power Division
- Advanced Energy Systems Division
- Solar Energy Division
- Nuclear Engineering Division
ISBN:
978-0-7918-5021-3
PROCEEDINGS PAPER
Verification and Validation of CFD Model to Predict Jet Loads and Blast Wave Pressures From High Pressure Superheated Steam Line Break Available to Purchase
S. Pal,
S. Pal
Bechtel Nuclear, Security & Environmental Inc., Reston, VA
Search for other works by this author on:
C. Iek,
C. Iek
Bechtel Nuclear, Security & Environmental Inc., Reston, VA
Search for other works by this author on:
L. J. Peltier,
L. J. Peltier
Bechtel Nuclear, Security & Environmental Inc., Reston, VA
Search for other works by this author on:
A. Smirnov,
A. Smirnov
Bechtel Nuclear, Security & Environmental Inc., Reston, VA
Search for other works by this author on:
K. J. Knight,
K. J. Knight
Bechtel Nuclear, Security & Environmental Inc., Reston, VA
Search for other works by this author on:
D. Zheng,
D. Zheng
Bechtel Nuclear, Security & Environmental Inc., Reston, VA
Search for other works by this author on:
J. Jarvis
J. Jarvis
Bechtel Nuclear, Security & Environmental Inc., Reston, VA
Search for other works by this author on:
S. Pal
Bechtel Nuclear, Security & Environmental Inc., Reston, VA
C. Iek
Bechtel Nuclear, Security & Environmental Inc., Reston, VA
L. J. Peltier
Bechtel Nuclear, Security & Environmental Inc., Reston, VA
A. Smirnov
Bechtel Nuclear, Security & Environmental Inc., Reston, VA
K. J. Knight
Bechtel Nuclear, Security & Environmental Inc., Reston, VA
D. Zheng
Bechtel Nuclear, Security & Environmental Inc., Reston, VA
J. Jarvis
Bechtel Nuclear, Security & Environmental Inc., Reston, VA
Paper No:
POWER2016-59675, V001T11A012; 11 pages
Published Online:
November 1, 2016
Citation
Pal, S, Iek, C, Peltier, LJ, Smirnov, A, Knight, KJ, Zheng, D, & Jarvis, J. "Verification and Validation of CFD Model to Predict Jet Loads and Blast Wave Pressures From High Pressure Superheated Steam Line Break." Proceedings of the ASME 2016 Power Conference collocated with the ASME 2016 10th International Conference on Energy Sustainability and the ASME 2016 14th International Conference on Fuel Cell Science, Engineering and Technology. ASME 2016 Power Conference. Charlotte, North Carolina, USA. June 26–30, 2016. V001T11A012. ASME. https://doi.org/10.1115/POWER2016-59675
Download citation file:
22
Views
Related Proceedings Papers
Related Articles
High-Dimensional Uncertainty Quantification of High-Pressure Turbine Vane Based on Multifidelity Deep Neural Networks
J. Turbomach (November,2023)
Reducing Geometric Uncertainty in Computational Hemodynamics by Deep Learning-Assisted Parallel-Chain MCMC
J Biomech Eng (December,2022)
Multifidelity Optimization Under Uncertainty for Robust Design of a Micro-Turbofan Turbine Stage
J. Eng. Gas Turbines Power (October,2022)
Related Chapters
PSA Level 2 — NPP Ringhals 2 (PSAM-0156)
Proceedings of the Eighth International Conference on Probabilistic Safety Assessment & Management (PSAM)
Advances in the Stochastic Modeling of Constitutive Laws at Small and Finite Strains
Advances in Computers and Information in Engineering Research, Volume 2
Combined Cycle Power Plant
Energy and Power Generation Handbook: Established and Emerging Technologies