Dynamic modeling of reactivity control systems for scram reliability assessment in fast reactors under seismic conditions

Bonney, Matthew S.; Zabiego, M.

doi:10.1016/j.nucengdes.2020.110546

Cited by 2 publications

(4 citation statements)

References 13 publications

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“…This region also had a large variability due to numerical ill-conditioning that was caused by the resonance coupling of the subsystems. * Due to these findings, actual excitations must be checked against the possibility of exciting the system with a large fraction of the excitation energy occurring near a resonance frequency [15].…”

Section: Discussionmentioning

confidence: 99%

“…The model system used in this work is the Model System Configuration (MSC). This system is also used in [14,15] to evaluate the development of DEBSE. The MSC system is similar to RCSs in various FRs, such as: ASTRID RBC [3], the Superphenix SCP [1], the Phenix BdC [16], or the PFBR CSR and CSRDM [5], but does not contain the proprietary data associated with those designs.…”

Section: Model Systemmentioning

confidence: 99%

“…circular contact patch compared to the line/elliptical contact expected for a RCS). Some previous work in [15] investigates some of the sensitivity of the simulations to this exponential value. The definition of this model is based the derivation used in [21], which compares various cylindrical contact models.…”

Section: Contact Modelsmentioning

confidence: 99%

“…In order to address this issue during the design phase of a RCS, the Python Implementation for Reliability Assessment Tools (PIRAT), a novel computational tool package, is currently in development with three main tools: * StaBI (Static Bresse Implementation): A static tool based on the analytic respresentation of the Bresse formulations [11,12]. * DEBSE (Dynamic Euler-Bernoulli for Seismic Events): A dynamic tool based on the analytic solution of the dynamic Euler-Bernoulli equation [13][14][15]. This tool is the main focus of this work.…”

Section: Introductionmentioning

confidence: 99%

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Implementation and Comparison of Contact Models Within PIRAT for Nuclear Reactivity Control Systems

Bonney

Zabiego

2020

Journal of Vibration and Acoustics

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The reactivity control system is a vital safety system for a nuclear reactor. One of the most challenging aspects in the design of these systems is the operation during critical situations, in particular during earthquakes to safely shut-down the reactor. To study these situations, the toolbox python Implementation for Reliability Assessment Tools (PIRAT) is used to model two types of excitation: single frequency and realistic. The main focus of this work is the comparison of the implementation of the contact models used to describe the interaction between the subsystems. For the dynamic tool in PIRAT (dynamic Euler–Bernoulli for seismic event (DEBSE)), this is done with a two-stage linear spring or Lankarani and Nikravesh-based models. For the sine excitation, the results show four distinct response types with the maximum displacement varying between the models. Low-frequency excitation showed little variance while higher frequency excitation showed large variations. The realistic excitation, however, did not show these variations and showed nearly identical results for the contact models tested. This gives confidence in the simulations since the user selected contact model did not greatly affect the simulation results for a realistic excitation.

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Section: Discussionmentioning

confidence: 99%

Section: Model Systemmentioning

confidence: 99%