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首页> 外文会议>12th International Conference on Environmental Degradation of Materials in Nuclear Power Systems: Water Reactors 2005 vol.2 >GERMAN EXPERIENCE WITH INTERGRANULAR CRACKING IN AUSTENITIC PIPING IN BWRs AND ASSESSMENT OF PARAMETERS AFFECTING THE IN-SERVICE IGSCC BEHAVIOR USING AN ARTIFICIAL NEURAL NETWORK
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GERMAN EXPERIENCE WITH INTERGRANULAR CRACKING IN AUSTENITIC PIPING IN BWRs AND ASSESSMENT OF PARAMETERS AFFECTING THE IN-SERVICE IGSCC BEHAVIOR USING AN ARTIFICIAL NEURAL NETWORK

机译：使用人工神经网络在BWR的奥氏体管道中进行晶粒间开裂的德国经验以及影响服务中IGSCC行为的参数评估

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A new database, named DISAS, has been built up, populated and evaluated. The database includes 141 metallographically examined welds from German BWR austenitic piping and consequently 282 half welds (HAZs). 203 of them are without cracking and 79 with cracking. In parallel the results of the random non-destructive examinations from all German BWRs have been collected. This database has been used to perform an assessment of parameters affecting the in-service IGSCC behavior of austenitic BWR piping welds. The results of a common statistical evaluation are also shown, but the main focus of the assessment is the use of an artificial neural network (ANN) to identify the ranking of parameters and to evaluate the impact of material related variables and environmental parameters on the IGSCC behavior in the HAZ of austenitic BWR pipe welds.
机译：已经建立，填充和评估了一个名为DISAS的新数据库。该数据库包括141条来自德国BWR奥氏体管道的金相检查焊缝，因此包括282条半焊缝（HAZ）。其中203个没有开裂，而79个有开裂。同时，已收集了所有德国BWR的随机无损检测结果。该数据库已用于评估影响奥氏体BWR管道焊缝在役IGSCC行为的参数。还显示了常规统计评估的结果，但是评估的主要重点是使用人工神经网络（ANN）来识别参数的排名并评估与材料相关的变量和环境参数对IGSCC的影响奥氏体BWR管道焊缝在热影响区中的行为。

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