Modeling mesoscale fission gas behavior in UO2 by directly coupling the phase field method to spatially resolved cluster dynamics

Dong-Uk Kim, Sophie Blondel, David E. Bernholdt, Philip Roth, Fande Kong, David Andersson, Michael R. Tonks, Brian D. Wirth
{"title":"Modeling mesoscale fission gas behavior in UO2 by directly coupling the phase field method to spatially resolved cluster dynamics","authors":"Dong-Uk Kim,&nbsp;Sophie Blondel,&nbsp;David E. Bernholdt,&nbsp;Philip Roth,&nbsp;Fande Kong,&nbsp;David Andersson,&nbsp;Michael R. Tonks,&nbsp;Brian D. Wirth","doi":"10.1186/s41313-021-00030-8","DOIUrl":null,"url":null,"abstract":"<div><p>Fission gas release within uranium dioxide nuclear fuel occurs as gas atoms diffuse through grains and arrive at grain boundary (GB) bubbles; these GB bubbles grow and interconnect with grain edge bubbles; and grain edge tunnels grow and connect to free surfaces. In this study, a hybrid multi-scale/multi-physics simulation approach is presented to investigate these mechanisms of fission gas release at the mesoscale. In this approach, fission gas production, diffusion, clustering to form intragranular bubbles, and re-solution within grains are included using spatially resolved cluster dynamics in the Xolotl code. GB migration and intergranular bubble growth and coalescence are included using the phase field method in the MARMOT code. This hybrid model couples Xolotl to MARMOT using the MultiApp and Transfer systems in the MOOSE framework, with Xolotl passing the arrival rate of gas atoms at GBs and intergranular bubble surfaces to MARMOT and MARMOT passing evolved GBs and bubble surface positions to Xolotl. The coupled approach performs well on the two-dimensional simulations performed in this work, producing similar results to the standard phase field model when Xolotl does not include fission gas clustering or re-solution. The hybrid model performs well computationally, with a negligible cost of coupling Xolotl and MARMOT and good parallel scalability. The hybrid model predicts that intragranular fission gas clustering and bubble formation results in up to 70% of the fission gas being trapped within grains, causing the increase in the intergranular bubble fraction to slow by a factor of six. Re-solution has a small impact on the fission gas behavior at 1800 K but it has a much larger impact at 1000 K, resulting in a twenty-times increase in the concentration of single gas atoms within grains. Due to the low diffusion rate, this increase in mobile gas atoms only results in a small acceleration in the growth of the intergranular bubble fraction. Finally, the hybrid model accounts for migrating GBs sweeping up gas atoms. This results in faster intergranular bubble growth with smaller initial grain sizes, since the additional GB migration results in more immobile gas clusters reaching GBs.</p></div>","PeriodicalId":693,"journal":{"name":"Materials Theory","volume":"6 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://materialstheory.springeropen.com/counter/pdf/10.1186/s41313-021-00030-8","citationCount":"11","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Materials Theory","FirstCategoryId":"1","ListUrlMain":"https://link.springer.com/article/10.1186/s41313-021-00030-8","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 11

Abstract

Fission gas release within uranium dioxide nuclear fuel occurs as gas atoms diffuse through grains and arrive at grain boundary (GB) bubbles; these GB bubbles grow and interconnect with grain edge bubbles; and grain edge tunnels grow and connect to free surfaces. In this study, a hybrid multi-scale/multi-physics simulation approach is presented to investigate these mechanisms of fission gas release at the mesoscale. In this approach, fission gas production, diffusion, clustering to form intragranular bubbles, and re-solution within grains are included using spatially resolved cluster dynamics in the Xolotl code. GB migration and intergranular bubble growth and coalescence are included using the phase field method in the MARMOT code. This hybrid model couples Xolotl to MARMOT using the MultiApp and Transfer systems in the MOOSE framework, with Xolotl passing the arrival rate of gas atoms at GBs and intergranular bubble surfaces to MARMOT and MARMOT passing evolved GBs and bubble surface positions to Xolotl. The coupled approach performs well on the two-dimensional simulations performed in this work, producing similar results to the standard phase field model when Xolotl does not include fission gas clustering or re-solution. The hybrid model performs well computationally, with a negligible cost of coupling Xolotl and MARMOT and good parallel scalability. The hybrid model predicts that intragranular fission gas clustering and bubble formation results in up to 70% of the fission gas being trapped within grains, causing the increase in the intergranular bubble fraction to slow by a factor of six. Re-solution has a small impact on the fission gas behavior at 1800 K but it has a much larger impact at 1000 K, resulting in a twenty-times increase in the concentration of single gas atoms within grains. Due to the low diffusion rate, this increase in mobile gas atoms only results in a small acceleration in the growth of the intergranular bubble fraction. Finally, the hybrid model accounts for migrating GBs sweeping up gas atoms. This results in faster intergranular bubble growth with smaller initial grain sizes, since the additional GB migration results in more immobile gas clusters reaching GBs.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
用相场法直接耦合空间分辨簇动力学模拟UO2中尺度裂变气体行为
二氧化铀核燃料中的裂变气体释放发生在气体原子扩散穿过晶粒并到达晶界气泡时;这些GB气泡生长并与晶粒边缘气泡相互连接;谷粒边缘隧道生长并连接到自由表面。在这项研究中,提出了一种混合的多尺度/多物理场模拟方法来研究这些中尺度裂变气体释放的机制。在这种方法中,裂变气体的产生,扩散,聚集形成颗粒内气泡,以及颗粒内的再溶解都包括在Xolotl代码中使用空间分辨簇动力学。在MARMOT代码中,采用相场方法考虑了GB迁移和晶间气泡的生长和聚并。该混合模型使用MOOSE框架中的MultiApp和Transfer系统将Xolotl与MARMOT耦合,Xolotl将气体原子到达gb和颗粒间气泡表面的速率传递给MARMOT, MARMOT将进化的gb和气泡表面位置传递给Xolotl。耦合方法在二维模拟中表现良好,当Xolotl不包括裂变气体聚集或再溶解时,产生与标准相场模型相似的结果。该混合模型计算性能良好,Xolotl和MARMOT的耦合成本可以忽略不计,并且具有良好的并行可扩展性。混合模型预测,晶内裂变气体聚集和气泡形成导致高达70%的裂变气体被困在颗粒内,导致晶间气泡分数的增加速度减慢6倍。在1800k时,再溶解对裂变气体的行为影响很小,但在1000k时,它的影响要大得多,导致颗粒内单个气体原子的浓度增加20倍。由于扩散速率较低,移动气体原子的增加只会导致晶间气泡部分的生长有很小的加速。最后,混合模型解释了迁移的gb横扫气体原子。这导致晶间气泡生长更快,初始晶粒尺寸更小,因为额外的GB迁移导致更多不移动的气体团簇达到GB。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊介绍: Journal of Materials Science: Materials Theory publishes all areas of theoretical materials science and related computational methods. The scope covers mechanical, physical and chemical problems in metals and alloys, ceramics, polymers, functional and biological materials at all scales and addresses the structure, synthesis and properties of materials. Proposing novel theoretical concepts, models, and/or mathematical and computational formalisms to advance state-of-the-art technology is critical for submission to the Journal of Materials Science: Materials Theory. The journal highly encourages contributions focusing on data-driven research, materials informatics, and the integration of theory and data analysis as new ways to predict, design, and conceptualize materials behavior.
期刊最新文献
An informatics method for inferring the hardening exponent of plasticity in polycrystalline metals from surface strain measurements Multiscale modelling of precipitation hardening: a review Junction formation rates, residence times, and the rate of plastic flow in FCC metals A model for physical dislocation transmission through grain boundaries and its implementation in a discrete dislocation dynamics tool Dislocation-precipitate interactions in crystals: from the BKS model to collective dislocation dynamics
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1