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PREDICTION OF FRACTURE RESISTANCE CURVES FROM TENSILE DATA

机译:从拉伸数据预测裂缝抗性曲线

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In order to perform Ieak-before-break design of nuclear piping systems and integrity evaluation of reactor vessels, full stress-strain (σ-ε) curves and fracture resistance(J-R) curves are required. However it is time-consuming and expensive to obtain the J-R curves experimentally. The objective of this paper is to develop two methods for the J-R curve prediction from tensile data. In the first method, elastic-plastic finite element analyses for a series of crack length/specimen width values were performed. Accordingly the load vs. load line displacement curves corresponding to the fracture strain are obtained and the J-R curves based on the generalized locus method are obtained. In the second method, the correlation between σ-ε curves and J-R curves was statistically analyzed and an empirical equation for the J-R curve prediction from the tensile data is proposed. A good correlation between the predicted results based on the proposed methods and the experimental ones is obtained.
机译:为了执行核管道系统的IEAK前破裂设计和反应器容器的完整性评估,需要全应力 - 应变(σ-ε)曲线和裂缝抗性(J-R)曲线。然而,实验地获得J-R曲线是耗时和昂贵的。本文的目的是开发两种用于从拉伸数据的J-R曲线预测的方法。在第一种方法中,进行了一系列裂缝长度/样品宽度值的弹性塑料有限元分析。因此,获得了对应于裂缝应变的负载与负载线位移曲线,并且获得了基于广义基因座方法的J-R曲线。在第二种方法中,提出了统计上分析σ-ε曲线和j-r曲线之间的相关性,提出了从拉伸数据预测的J-R曲线预测的经验方程。基于所提出的方法和实验结果,获得了预测结果之间的良好相关性。

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