The recent seismic events that occurred in South Korea have increased the interest in the re-evaluation of the seismic capacity of nuclear power plant (NPP) equipment, which is often conservatively estimated. To date, various approaches—including the Bayesian method proposed by the United States (US) Electric Power Research Institute —have been developed to quantify the seismic capacity of NPP equipment. Among these, the Bayesian approach has advantages in accounting for both prior knowledge and new information to update the probabilistic distribution of seismic capacity. However, data availability and region-specific issues exist in applying this Bayesian approach to Korean NPP equipment. Therefore, this paper proposes to construct an earthquake experience database by combining available earthquake records at Korean NPP sites and the general location of equipment within NPPs. Also, for the better representation of the seismic demand of Korean earthquake datasets, which have distinct seismic characteristics from those of the US at a high-frequency range, a broadband frequency range optimization is suggested. The proposed data construction and seismic demand optimization method for seismic capacity re-evaluation are demonstrated and tested on a 480 V motor control center of a South Korea NPP.

韩国最近发生的地震事件增加了重新评估核电站（NPP）设备抗震能力的兴趣，而这通常是保守估计的。迄今为止，已经开发出各种方法——包括美国（美国）电力研究所提出的贝叶斯方法——来量化核电厂设备的抗震能力。其中，贝叶斯方法在考虑先验知识和新信息以更新地震容量的概率分布方面具有优势。然而，在将这种贝叶斯方法应用于韩国 NPP 设备时，存在数据可用性和特定地区的问题。所以，本文建议通过结合韩国核电厂场址的可用地震记录和核电厂内设备的大致位置来构建地震经验数据库。此外，为了更好地表示韩国地震数据集的地震需求，这些数据集在高频范围内具有与美国不同的地震特征，建议进行宽带频率范围优化。所提出的抗震能力再评价数据构建和抗震需求优化方法在韩国某核电站的 480 V 电机控制中心进行了演示和测试。建议进行宽带频率范围优化。所提出的抗震能力再评价数据构建和抗震需求优化方法在韩国某核电站的 480 V 电机控制中心进行了演示和测试。建议进行宽带频率范围优化。所提出的抗震能力再评价数据构建和抗震需求优化方法在韩国某核电站的 480 V 电机控制中心进行了演示和测试。