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BALANCE OF PLANT CORROSION ISSUES IN AGING NUCLEAR POWER PLANTS

机译:老化核电站植物腐蚀问题的平衡

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Balance of plant systems in nuclear plants, such as service water systems, are a critical part of the facility's infrastructure. System integrity and performance are vital for plant reliability and essential to achieving a plant life of 40 years and beyond. The low temperature and pressure service water piping systems are primarily degraded by corrosion in untreated waters. Corrosion allowances, based upon very simplistic considerations of general corrosion in untreated raw water, were a part of the original design. However, long term service in many such systems has shown that localized corrosion phenomena, from microbiologically influenced corrosion (MIC), pitting, and underdeposit effects, have compromised system integrity. Because of the complexity and random nature of corrosion processes, it is nearly impossible to develop a mathematically deterministic model (like the typically used corrosion allowances) that accurately predicts pipe wall loss. However, when statistical distributions are used to describe the various corrosion processes, mathematical algorithms that incorporate all of the distributions, iterated a statistically significant number of times, can be used to forecast the most probable number of leaks. This approach was used to predict the condition of service water piping at a US Nuclear Power Plant, comparing results to service experience and inspection results. The results were ultimately used by the plant for targeting inspections and for long term planning of replacements and replacement schedules.
机译:核电站(如使用水系统)植物系统的平衡是设施基础设施的关键部分。系统完整性和性能对于植物可靠性至关重要,实现40岁及以后的植物寿命至关重要。低温和压力维修水管系统主要通过未处理水域的腐蚀降解。基于在未处理的原水中的一般腐蚀的非常简单的考虑,腐蚀余量是原始设计的一部分。然而,许多这样的系统中的长期服务表明,局部腐蚀现象,从微生物学过腐蚀(MIC),点蚀和欠压效果,具有受损的系统完整性。由于腐蚀过程的复杂性和随机性质,几乎不可能开发准确地预测管壁损耗的数学上确定的模型(如通常使用的腐蚀额度)。然而,当使用统计分布来描述各种腐蚀过程时,包含所有分布的数学算法,迭代统计上大量的次数,可用于预测最可能的泄漏数。这种方法用于预测美国核电站的服务水管的状况,比较服务经验和检查结果的结果。该植物最终用于瞄准检查和长期规划替代和更换时间表的结果。

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