REDUCED ORDER STRESS MODEL FOR ONLINE MANEUVERING, DIAGNOSTICS OF FUEL FAILURE AND DESIGN OF CORE LOADING PATTERNS OF LIGHT WATER REACTORS

Patent №

US 8,553,829

Granted

2013-10-08

Filed 2007

Owner

FARAWILA ET AL INC., A WASHINGTON STATE CORPORATION

+1 more

Lab

AI components

1

planning

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

11862145

The invention is principally directed to a reduced order model, XEDOR, facilitating the prediction of and the diagnostics of pellet-clad interaction stress-corrosion-cracking failure of nuclear fuel rods. The invention more particularly relates to assessment of susceptibility to PCI failure for guidance in the design of fuel loading in nuclear reactors. The invention additionally relates to the protection against PCI failure by providing operational information to operators of a nuclear reactor during power maneuvering, including predictive calculations prior to executing power maneuvers. Additionally, the invention relates to the diagnostics of an event suggesting a possible PCI cladding failure.

PlanningG21C 7/00G21C 17/00G21D 3/001G21D 3/002Y02E 30/00Y02E 30/30

AI classification

Planning1.00
AI hardware0.06
Machine learning0.04
Evolutionary computation0.01
Vision0.00
Natural language0.00
Knowledge representation0.00
Speech0.00

Ownership

FARAWILA ET AL INC., A WASHINGTON STATE CORPORATION

assignment · 310000208

AREVA NP SAS

assignment · 310000423

Assignors

FARAWILA ET AL INC., A WASHINGTON STATE CORPORATION

On an employer assignment, the assignors are typically the inventors.

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