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Reliability and Safety Assessment Model for LOCA Event in BWRX-300

2025· article· en· W4408897834 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicNuclear Engineering Thermal-Hydraulics
Canadian institutionsOntario Tech University
Fundersnot available
KeywordsReliability engineeringReliability (semiconductor)Computer scienceEvent (particle physics)EngineeringPhysics

Abstract

fetched live from OpenAlex

SUMMARY & CONCLUSIONS The BWRX-300, an advanced Small Modular Reactor (SMR), represents the latest evolution in boiling water reactor technology, drawing on over six decades of experience. This reactor emphasizes the use of Passive Safety Systems (PSSs) that leverage natural forces, such as gravity and natural circulation, to enhance safety and reliability while minimizing the need for active components and manual interventions. Building on the design of the Economic Simplified Boiling Water Reactor (ESBWR), the BWRX-300 aims to improve safety features while reducing capital costs. However, the innovative nature and complexity of these passive systems present significant challenges in accurately assessing their reliability. In the event of a Loss-of-Coolant Accident (LOCA), critical safety functions are performed by systems including the Control Rod Drive (CRD) system and Boron Injection System (BIS) for reactivity control, the Isolation Condenser System (ICS) for core cooling and long-term heat removal, and the Reactor Pressure Vessel Isolation Valves (RPVIVs) for reactor isolation. Each of these systems plays a vital role in preventing core damage by ensuring over-pressure protection and maintaining sufficient coolant levels. This paper conducts a comprehensive reliability and safety assessment for a LOCA scenario in the BWRX-300 using dynamic Probabilistic Risk Assessment (PRA) modeling through the EMRALD tool. The study evaluates the effectiveness of these safety systems and identifies potential vulnerabilities in their interdependent functions. The findings advance the understanding of the BWRX-300's operational safety under critical conditions and provide insights that could guide future improvements in SMR design and regulatory standards, underscoring the importance of robust safety systems in nuclear reactor engineering. The findings of this paper underscore the importance of robust maintenance protocols and the potential need for further simulations to explore low-probability failure modes. The results contribute valuable insights into the operational safety of the BWRX-300, offering recommendations that could inform future improvements in SMR design and regulatory frameworks, ultimately enhancing the safety and reliability of nuclear reactor operations.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.886
Threshold uncertainty score0.469

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.006
GPT teacher head0.243
Teacher spread0.237 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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