In this study, the well-known non-destructive acoustic emission (AE) and electrical resistivity methods were employed to predict quantitative damage in the silo structure of the Wolsong Low and Intermediate Level Radioactive Waste Disposal Center (WLDC), Gyeongju, South Korea. Brazilian tensile test was conducted with a fully saturated specimen with a composition identical to that of the WLDC silo concrete. Bi-axial strain gauges, AE sensors, and electrodes were attached to the surface of the specimen to monitor changes. Both the AE hit and electrical resistance values helped in the anticipation of imminent specimen failure, which was further confirmed using a strain gauge. The quantitative damage (or damage variable) was defined according to the AE hits and electrical resistance and analyzed with stress ratio variations. Approximately 75% of the damage occurred when the stress ratio exceeded 0.5. Quantitative damage from AE hits and electrical resistance showed a good correlation (R = 0.988, RMSE = 0.044). This implies that AE and electrical resistivity can be complementarily used for damage assessment of the structure. In future, damage to dry and heated specimens will be examined using AE hits and electrical resistance, and the results will be compared with those from this study.

This study evaluates the radioactivity of concrete waste that occurs due to large amounts of decommissioned nuclear wastes and then determines the surface dose rate when the waste is packaged in a disposal container. The radiation assessment was conducted under the presumption that impurities included in the bio-shielded concrete contain the highest amount of radioactivity among all the concrete wastes. Neutron flux was applied using the simplified model approach in a sample containing the most Co and Eu impurities, and a maximum of 9.8×104 Bq·g−1 60Co and 2.63×105 Bq·g−1 152Eu was determined. Subsequently, the surface dose rate of the container was measured assuming that the bio-shield concrete waste would be packaged in a newly developed disposal container. Results showed that most of the concrete wastes with a depth of 20 cm or higher from the concrete surface was found to have less than 1.8 mSv·hr−1 in the surface dose of the new-type disposal container. Hence, when bio-shielded concrete wastes, having the highest radioactivity, is disposed in the new disposal container, it satisfies the limit of the surface dose rate (i.e., 2 mSv·hr−1) as per global standards.

해체 원전에서 총 폐기물의 약 70~80%에 해당하는 많은 양의 콘크리트 폐기물은 해체 폐기물의 대부분을 차지한다. 해체 시 발생된 콘크리트 폐기물은 핵종별 농도에 따라 규제해제 폐기물과 방사성폐기물로 정의할 수 있다. 따라서, 방사성 콘크리 트 폐기물의 처분 비용을 저감하기 위하여 자체 처분 및 제한적 재활용을 위한 제염 작업의 수행이 중요하다. 그러므로 콘크리트 폐기물의 효율적인 제염 작업을 위해 내부 방사능 분포를 예측하는 것이 필수적이다. 본 연구는 원전 해체 시, 발생되는 콘크리트 폐기물의 내부 방사능 분포를 예측하기 위하여 다양한 컴프턴 영상 재구성 방법의 성능을 비교하였다. 다양한 컴프턴 영상 재구성 방법으로 단순 역투사(SBP), 필터 후 역투사(FBP), 최대우도 기댓값 최대화 방법(MLEM), 그리고 기존 의 MLEM의 시스템 반응 함수에 에너지 정보가 결합되어 확률적으로 계산하는 최대우도 기댓값 최대화 방법(E-MLEM)이 사용되었다. 재구성된 영상을 획득한 후, 정량적인 분석 방법을 이용하여 재구성된 영상의 성능을 정량적으로 비교 및 평가하였다. MLEM 및 E-MLEM 영상 재구성 방법은 각각 재구성된 영상에서 높은 이미지 분해능과 신호 대 잡음비를 유지하는데 있어 가장 좋은 성능을 보여주었다. 본 연구에서 도출된 결과들은 원자력 시설 해체 시 방사성 콘크리트 폐기물의 내부 방사능 분포를 예측하기 위한 수단으로 컴프턴 영상을 사용할 수 있는 가능성을 보여주었다.

Large amounts of concrete waste are likely to arise from the decommissioning of a Kori-1 nuclear power plant. Several studies have been conducted on decommissioning concrete waste in recent decades, however, they have been limited to contaminated concrete issues or were small pilot-scale experiments. This study constructed two industrial-scale models of on-site concrete waste management for clean as well as contaminated concrete. To evaluate the performance of both the models, simulations were conducted using the Flexsim software. The concrete particle size distribution of Kori-1 and concrete processor properties based on widely used construction equipment were used as sources of input data for the simulations. It was observed that it may take over two years to complete the on-site concrete management processes owing to the performance of existing processors. In addition, it was demonstrated that it is essential to identify bottlenecks in the system and enhance the performance of the relevant processors to avoid delays of the decommissioning schedule. Our results suggest that this novel approach can contribute to developing schedules or expediting delayed activities in the Kori-1 decommissioning project.