Seismic capacity re-evaluation of the 480V motor control center of South Korea NPPs using earthquake experience and experiment data
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The recent seismic events that occurred in South Korea have increased the interest in the re-evaluation ofthe seismic capacity of nuclear power plant (NPP) equipment, which is often conservatively estimated. Todate, various approachesdincluding the Bayesian method proposed by the United States (US) ElectricPower Research Institute dhave been developed to quantify the seismic capacity of NPP equipment. Among these, the Bayesian approach has advantages in accounting for both prior knowledge and newinformation to update the probabilistic distribution of seismic capacity. However, data availability andregion-specific issues exist in applying this Bayesian approach to Korean NPP equipment. Therefore, thispaper proposes to construct an earthquake experience database by combining available earthquakerecords at Korean NPP sites and the general location of equipment within NPPs. Also, for the betterrepresentation of the seismic demand of Korean earthquake datasets, which have distinct seismiccharacteristics 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 forseismic capacity re-evaluation are demonstrated and tested on a 480 V motor control center of a SouthKorea NPP.
Abstract
The recent seismic events that occurred in South Korea have increased the interest in the re-evaluation ofthe seismic capacity of nuclear power plant (NPP) equipment, which is often conservatively estimated. Todate, various approachesdincluding the Bayesian method proposed by the United States (US) ElectricPower Research Institute dhave been developed to quantify the seismic capacity of NPP equipment. Among these, the Bayesian approach has advantages in accounting for both prior knowledge and newinformation to update the probabilistic distribution of seismic capacity. However, data availability andregion-specific issues exist in applying this Bayesian approach to Korean NPP equipment. Therefore, thispaper proposes to construct an earthquake experience database by combining available earthquakerecords at Korean NPP sites and the general location of equipment within NPPs. Also, for the betterrepresentation of the seismic demand of Korean earthquake datasets, which have distinct seismiccharacteristics 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 forseismic capacity re-evaluation are demonstrated and tested on a 480 V motor control center of a SouthKorea NPP.
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