Input uncertainties in uncertainty analyses of system codes: Quantification of physical model uncertainties on the basis of CET (combined effect tests)

Autor: Skorek, T.

Publikováno v: In Nuclear Engineering and Design September 2017 321:301-317

Apprentissage statistique et quantification inverse des incertitudes en simulation thermohydraulique nucléaire : application à la modélisation de la condensation à l'injection de sécurité

Autor: Cocci, Riccardo

Publikováno v: Fluids mechanics [physics.class-ph]. Université Paris-Saclay, 2022. English. ⟨NNT : 2022UPAST122⟩

The BEPU (Best Estimate Plus Uncertainty) methodology is based on the validation and the uncertainty quantification of the physical models used in the nuclear computer codes. Having a robust methodology to calibrate a physical model, validate it and

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______3515::482e7edf2ee867f3a30660cc74413b33
https://theses.hal.science/tel-03892219/document

Quantification of the uncertainty of the physical models in the system thermal-hydraulic codes – PREMIUM benchmark

Autor: Agnès de Crécy, Jinzhao Zhang, Damar Canggih Wicaksono, Victor Sanchez, J. Freixa, T. Skorek, Francesc Reventos, Yuri Shvestov, Deog Yeon Oh, Alexander Falkov, Rostislav Pernica, A. Kovtonyuk, Milos Kyncl, Torsti Alku, Fabrice Fouet, Alexey Gusev, Dong Li, Rafael Mendizábal, Christine Sarrette, Elsa de Alfonso, Omar Zerkak, Pierre Probst, Joona Kurki, Andreas Pautz, Wadim Jäger, Bub Dong Chung, Tran Tranh Tram, Jean Baccou, Xiaojing Liu, Alessandro Petruzzi

Publikováno v: Recercat. Dipósit de la Recerca de Catalunya
instname
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Skorek, T, de Crécy, A, Kovtonyuk, A, Petruzzi, A, Mendizábal, R, de Alfonso, E, Reventós, F, Freixa, J, Sarrette, C, Kyncl, M, Pernica, R, Baccou, J, Fouet, F, Probst, P, Chung, B D, Tram, T T, Oh, D Y, Gusev, A, Falkov, A, Shvestov, Y, Li, D, Liu, X, Zhang, J, Alku, T, Kurki, J, Jäger, W, Sánchez, V, Wicaksono, D, Zerkak, O & Pautz, A 2019, ' Quantification of the uncertainty of the physical models in the system thermal-hydraulic codes : PREMIUM benchmark ', Nuclear Engineering and Design, vol. 354, 110199 . https://doi.org/10.1016/j.nucengdes.2019.110199
Nuclear Engineering and Design
Nuclear Engineering and Design, Elsevier, 2019, 354, pp.110199. ⟨10.1016/j.nucengdes.2019.110199⟩
Nuclear Engineering and Design, 2019, 354, pp.110199. ⟨10.1016/j.nucengdes.2019.110199⟩

International audience; PREMIUM (Post BEMUSE Reflood Models Input Uncertainty Methods) was an activity launched with the aim ofpushing forward the methods of quantification of physical model uncertainties in thermal-hydraulic codes. Thebenchmark PREM

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::034e92523802183d7d777b90e0a0b627
https://hdl.handle.net/2117/173446

Sustainable bacteria-based self-healing steel fiber reinforced concrete

Autor: Helal, Zinab, Salim, Hani, Ahmad, Seleem S.E., Elemam, Hesham, Mohamed, Ahmed I.H., Elmahdy, Mohamed A.R.

Publikováno v: Case Studies in Construction Materials; July 2024, Vol. 20 Issue: 1

Sustainable bacteria-based self-healing steel fiber reinforced concrete

Autor: Zinab Helal, Hani Salim, Seleem S.E. Ahmad, Hesham Elemam, Ahmed I.H. Mohamed, Mohamed A.R. Elmahdy

Publikováno v: Case Studies in Construction Materials, Vol 20, Iss , Pp e03389- (2024)

Self-healing concrete presents an innovative and eco-friendly solution with the potential to reduce maintenance costs through self-activated crack repair. This study examined the effect of varying bacterial content across different environmental cond

Externí odkaz: https://doaj.org/article/cb2a2722a9624f0dafc5f243cd475a28