首页> 外文会议>International Conference on Nuclear Engineering >UNCERTAINTY QUANTIFICATION FOR THE DEVELOPMENT OF MECHANISTIC HYDRIDE BEHAVIOR MODEL FOR SPENT FUEL CLADDING STORAGE AND TRANSPORTATION
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UNCERTAINTY QUANTIFICATION FOR THE DEVELOPMENT OF MECHANISTIC HYDRIDE BEHAVIOR MODEL FOR SPENT FUEL CLADDING STORAGE AND TRANSPORTATION

机译:花费燃料包层储存与运输力学氢化物行为模型的不确定性量化

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During operation of light water reactors hydrogen from the primary coolant is absorbed within the zirconium cladding and is able to migrate and redistribute within the cladding. The Irydrogen in solid solution is able to precipitate, forming zirconium hydrides which results in a decrease of ductility of the cladding and ultimately an increase in likelihood of cladding failure, especially in conditions such as transport or storage of nuclear fuel rods. In collaboration with other universities, industries, and national laboratories the overarching goal of this project is to enhance the development for modeling hydride behavior to be implemented into the BISON fuel performance tool. The University of Tennessee-Knoxville (UTK) has been tasked with quantifying the uncertainty in the models developed within this project as well as quantifying the sensitivity to the most significant parameters of uncertainty. The BISON fuel performance code has been shown to overpredict the total concentration of hydrogen at cold regions of a temperature profile, thus a sensitivity study was performed to quantify the impact that key diffusion parameters have on the local concentration of hydrogen at the cold end of a 1-D model subjected to an asymmetric temperature profile. It is shown within this document that the diffusion activation energy and the pre-exponential factor, values within the diffusion coefficient of hydrogen, have a large impact on the local concentration of hydrogen and their importance increases for an increase in annealing time.
机译:在初级冷却剂的光水反应器的运行过程中,初级冷却剂被吸收在锆覆层内,并且能够在包层内迁移和再分布。固溶体的氧化氢溶胶能够沉淀,形成硫化锆,这导致包层的延展性降低,最终增加了包层失效的可能性,特别是在诸如核燃料棒的运输或储存的条件下。与其他大学,行业和国家实验室合作,该项目的总体目标是提高氢化物行为建模的发展,以实施野牛燃料效果工具。田纳西州 - 克诺克斯维尔(UTK)一直是在该项目中开发的模型中的不确定性,并量化对不确定性最重要参数的敏感性。已经证明了北野燃料效率代码在温度曲线的冷区内过度估计氢的总浓度,因此进行了灵敏度研究以量化关键扩散参数对氢气冷端的氢气局部浓度的影响1-D模型经受不对称温度曲线。在该文献中示出了扩散激活能量和氢气扩散系数内的值,对氢气的扩散系数内的值具有很大的影响,并且它们的重要性增加了退火时间的增加。

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