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VALIDATION APPROACHES FOR COMPUTATIONAL WELD RESIDUAL STRESS MODELING

机译:计算焊接残余应力建模的验证方法

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In pressurized-water reactors, weld residual stress can drive primary water stress corrosion cracking (PWSCC). Weld process models, based on non-linear finite element techniques, can provide estimates of weld residual stress that are useful in assessing risk of PWSCC, and designing plant maintenance programs (e.g., scheduling of inspection and repair). A weld model validation approach, comprising comparison of weld model output against an established benchmark, would enable an assessment of model output precision and bias; however, the nuclear industry lacks a consensus weld model validation approach. The paper provides technical detail for a range of example data analysis approaches that provide potential validation metrics for assessment of model output relative to a benchmark, where relevant benchmarks are derived from either model or measurement data. The potential validation metrics range from simple (e.g., root mean square difference) to complex (e.g., predicted crack growth behavior). We further apply the data analysis approaches to two sets of weld model outputs, each developed in the context of an industry round robin exercise organized by the U.S. Nuclear Regulatory Commission and the Electric Power Research Institute. The analysis results provide data for consideration within the larger technical community, to support development of a consensus approach to weld residual stress model validation.
机译:在压水反应堆中,焊接残余应力会驱动主要的水应力腐蚀开裂(PWSCC)。基于非线性有限元技术的焊接工艺模型可以提供焊接残余应力的估计值,这些估计值可用于评估PWSCC的风险以及设计工厂维护程序(例如检查和维修时间表)。一种焊接模型验证方法,包括将焊接模型输出与既定基准进行比较,可以评估模型输出的精度和偏差。但是,核工业缺乏共识的焊接模型验证方法。本文提供了一系列示例数据分析方法的技术细节,这些方法提供了潜在的验证指标来评估相对于基准的模型输出,其中相关基准是从模型或测量数据中得出的。潜在的验证指标范围从简单(例如,均方根差)到复杂(例如,预测的裂纹扩展行为)。我们还将数据分析方法应用于两组焊接模型输出,每组都是在美国核监管委员会和电力研究所组织的行业轮循演习的背景下开发的。分析结果提供了可供大型技术团体考虑的数据,以支持开发一种用于焊接残余应力模型验证的共识方法。

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