Service interruption on Monday 11 July from 12:30 to 13:00: all the sites of the CCSD (HAL, EpiSciences, SciencesConf, AureHAL) will be inaccessible (network hardware connection).
Skip to Main content Skip to Navigation
Preprints, Working Papers, ...

Computation of Bias on Measured $\alpha_p$ by Monte-Carlo Simulation

R. Boffy 1, 2, * C. Jammes 1, 2, * 
* Corresponding author
1 LDCI - Laboratoire de Dosimétrie, de Contrôle-commande et Instrumentation
SPESI - Service Physique EXpérimentale, d'essais en Sûreté et d'Instrumentation : DEN/DER
Abstract : Controlling the reactivity of a nuclear reactor requires the knowledge of its kinetic parameters. Even though they can be computed by neutronic codes, they often have to be measured to finish the commissioning of a new installation. Amongst the list of kinetic parameters, we are specifically interested in the prompt-decay constant ($\alpha_p$). In practice, the presence of a reflector generates a decay constant, which will differ from core's $\alpha_p$ , and that might disturb the measurement of the whole set of kinetic parameters. Such a behaviour is a drawback for experimentalists since neutron detectors are usually located in non-fissile areas. The aim of the study is to give numerical estimates of the bias that can come out when measuring kinetic parameters of a light-water nuclear reactor. The work is based on on time-impulse techniques to derive kinetic parameters from the flux decay of the system. The impact of the detector position, as well as the reactivity level have been studied in a concurrent way. As an example, it was shown that $\alpha_p$ could be underestimated by a factor ranging from 8 to 12 % in a case of a sub-criticality of −3600 pcm, if the detector was located in the core or the reflector, respectively.
Document type :
Preprints, Working Papers, ...
Complete list of metadata

Cited literature [7 references]  Display  Hide  Download

https://hal-cea.archives-ouvertes.fr/cea-02555090
Contributor : Bibliothèque CADARACHE Connect in order to contact the contributor
Submitted on : Monday, April 27, 2020 - 9:56:00 AM
Last modification on : Sunday, June 26, 2022 - 12:31:37 AM

File

201700003816.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : cea-02555090, version 1

Collections

Citation

R. Boffy, C. Jammes. Computation of Bias on Measured $\alpha_p$ by Monte-Carlo Simulation. 2020. ⟨cea-02555090⟩

Share

Metrics

Record views

19

Files downloads

38