Report On Design And Preliminary Data Of Halden In-Pile Creep Rig

Terrani, Kurt A.; Karlsen, T. M.; Yamamoto, Yukinori

doi:10.2172/1254087

Cited by 1 publication

(2 citation statements)

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“…The irradiation swelling strain of FeCrAl cladding could be captured according to Terrani et al, 26 in which the swelling strain rate was described as a function of local irradiation damage:

{\dot{ε}}_{italicswl, FeCrAl} goodbreak= 4.5 goodbreak\times 10^{- 29} Φ,

where

{\dot{ε}}_{italicswl, FeCrAl}

is the volumetric swelling strain rate in 1/s;

Φ

is the fast neutron fluence in

normaln / ((), m^{2} ∙ normals)

.…”

Section: U3si2–fecral Multi‐physics Modelingmentioning

confidence: 99%

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Multi‐objective optimization design of U ₃ Si ₂ –FeCrAl accident tolerant fuel elements based on Gaussian process and genetic algorithm

Chen

Zhou

et al. 2022

Intl J of Energy Research

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Summary Among various accident tolerant fuel (ATF) concepts, U3Si2–FeCrAl fuel systems are considered as ones of the most potential fuel for the next generation light water reactor. In this work, a multi‐objective optimization framework based on multi‐objective genetic algorithm (GA) and Gaussian process (GP) was established for the optimal design of U3Si2–FeCrAl ATF fuel element. The coupling of GA and surrogate GP model could take advantage of the high fidelity of multi‐physics modeling and the global searching capability of GA, therefore allowing to perform a relatively fast and accurate multi‐objective optimization design for the U3Si2–FeCrAl ATF fuel element. Maximum fuel temperature, maximum cladding Von–Mises stress, and maximum plenum pressure are considered as the three objective functions for the optimization problem in this study. According to the Pareto approximation surface obtained in the optimization process, a lowest maximum fuel temperature of 871 K, a lowest maximum cladding stress of 87.9 MPa, and a lowest plenum pressure of 3.1 MPa for the U3Si2–FeCrAl ATF fuel element could be achieved based on different design parameters. The multi‐objective optimization framework developed in this work could perform as an efficient tool for the multi‐objective optimization design of the ATF fuel element.

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“…The irradiation swelling strain of FeCrAl cladding could be captured according to Terrani et al, 26 in which the swelling strain rate was described as a function of local irradiation damage:

{\dot{ε}}_{italicswl, FeCrAl} goodbreak= 4.5 goodbreak\times 10^{- 29} Φ,

where

{\dot{ε}}_{italicswl, FeCrAl}

is the volumetric swelling strain rate in 1/s;

Φ

is the fast neutron fluence in

normaln / ((), m^{2} ∙ normals)

.…”

Section: U3si2–fecral Multi‐physics Modelingmentioning

confidence: 99%

“…The irradiation swelling strain of FeCrAl cladding could be captured according to Terrani et al, 26 in which the swelling strain rate was described as a function of local irradiation damage:…”

Section: Irradiation Swellingmentioning

confidence: 99%

Multi‐objective optimization design of U ₃ Si ₂ –FeCrAl accident tolerant fuel elements based on Gaussian process and genetic algorithm

Chen

Zhou

et al. 2022

Intl J of Energy Research

View full text Add to dashboard Cite

show abstract

Report On Design And Preliminary Data Of Halden In-Pile Creep Rig

Cited by 1 publication

References 6 publications

Multi‐objective optimization design of U ₃ Si ₂ –FeCrAl accident tolerant fuel elements based on Gaussian process and genetic algorithm

Multi‐objective optimization design of U ₃ Si ₂ –FeCrAl accident tolerant fuel elements based on Gaussian process and genetic algorithm

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Report On Design And Preliminary Data Of Halden In-Pile Creep Rig

Cited by 1 publication

References 6 publications

Multi‐objective optimization design of U 3 Si 2 –FeCrAl accident tolerant fuel elements based on Gaussian process and genetic algorithm

Multi‐objective optimization design of U 3 Si 2 –FeCrAl accident tolerant fuel elements based on Gaussian process and genetic algorithm

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Product

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Multi‐objective optimization design of U ₃ Si ₂ –FeCrAl accident tolerant fuel elements based on Gaussian process and genetic algorithm

Multi‐objective optimization design of U ₃ Si ₂ –FeCrAl accident tolerant fuel elements based on Gaussian process and genetic algorithm