N. Klymyshyn, P. Ivanusa, Kevin Kadooka, Casey Spitz
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引用次数: 0
摘要
2017年,美国能源部(DOE)与西班牙和韩国组织合作,进行了一项多式联运试验,以测量传递给乏燃料(UNF)组件的冲击和振动载荷。该试验使用含有替代燃料质量的真实燃料组件组件来近似真实辐照过的乏燃料的响应特性。太平洋西北国家实验室(Pacific Northwest National Laboratory)是测试团队的一部分,他们使用在测试中收集的数据来验证预测实际使用过的核燃料在其他运输配置中的反应所需的数值模型。本文总结了建模工作,并确定了与建模和分析方法相关的经验教训。利用NUCARS软件代码进行轨道车辆动力学建模,利用LS-DYNA软件对乏燃料包壳进行显式动态有限元建模。NUCARS模型在位于科罗拉多州普埃布洛的联邦铁路管理局运输技术中心进行了轨道测试,并根据测试期间收集的轨道车辆动力学数据进行了验证。燃料包壳的LS-DYNA模型在整个测试活动中根据应变计数据进行了验证。本工作的关键成果之一是燃料包壳疲劳评估,本文详细介绍了计算疲劳的方法。本文中描述的经过验证的模型和分析方法将用于评价未来的联合国森林基金运输系统。
Modeling Shock and Vibration on Used Nuclear Fuel During Normal Conditions of Transportation
In 2017, the United States Department of Energy (DOE) collaborated with Spanish and Korean organizations to perform a multimodal transportation test to measure shock and vibration loads imparted to used nuclear fuel (UNF) assemblies. This test used real fuel assembly components containing surrogate fuel mass to approximate the response characteristics of real, irradiated used nuclear fuel. Pacific Northwest National Laboratory was part of the test team and used the data collected during this test to validate numerical models needed to predict the response of real used nuclear fuel in other transportation configurations. This paper summarizes the modeling work and identifies lessons learned related to the modeling and analysis methodology. The modeling includes railcar dynamics using the NUCARS software code and explicit dynamic finite element modeling of used nuclear fuel cladding in LS-DYNA. The NUCARS models were validated against railcar dynamics data collected during captive track testing at the Federal Railroad Administration’s Transportation Technology Center in Pueblo, CO. The LS-DYNA models of the fuel cladding were validated against strain gage data collected throughout the test campaign. One of the key results of this work was an assessment of fuel cladding fatigue, and the methods used to calculate fatigue are detailed in this paper. The validated models and analysis methodologies described in this paper will be applied to evaluate future UNF transportation systems.