Seok Yoon

Dr. Seok Yoon

Korea Atomic Energy Research Institute

Research Focus & Metrics

Academic Career Length

13Years (2014-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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29 August 2018 in Energies
Verified
Journal Article
Open access
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SYSeok Yoon
Seok Yoon
WCWanHyoung Cho
WanHyoung Cho
CLChangsoo Lee
Changsoo Lee
GKGeon-Young Kim
Geon-Young Kim
Engineered barrier system (EBS) has been proposed for the disposal of high-level waste (HLW). An EBS is composed of a disposal canister with spent fuel, a buffer material, backfill material, and a near field rock mass. The buffer material is especially essential to guarantee the safe disposal of HLW, and plays the very important role of protecting the waste and canister against any external mechanical impact. The buffer material should also possess high thermal conductivity, to release as much decay heat as possible from the spent fuel. Its thermal conductivity is a crucial property since it determines the temperature retained from the decay heat of the spent fuel. Many studies have investigated the thermal conductivity of bentonite buffer materials and many types of soils. However, there has been little research or overall evaluation of the thermal conductivity of Korean Ca-type bentonite buffer materials. This paper investigated and analyzed the thermal conductivity of Korean Ca-type bentonite buffer materials produced in Gyeongju, and compared the results with various characteristics of Na-type bentonites, such as MX80 and Kunigel. Additionally, this paper suggests various predictive models to predict the thermal conductivity of Korean bentonite buffer materials considering various influential independent variables, and compared these with results for MX80 and Kunigel.

9 July 2022 in Progress in Nuclear Energy
Verified
Journal Article
Closed access
SYSeok Yoon
Seok Yoon
SCSeeun Chang
Seeun Chang
DPDowon Park
Dowon Park

21 February 2022 in Case Studies in Thermal Engineering
Verified
Journal Article
Open access
SYSeok Yoon
Seok Yoon
GLGi-Jun Lee
Gi-Jun Lee
GGGyu-Hyun Go
Gyu-Hyun Go

25 November 2022 in Nuclear Engineering and Technology
Verified
Journal Article
Open access
GLGi-Jun Lee
Gi-Jun Lee
SYSeok Yoon
Seok Yoon
TKTaehyun Kim
Taehyun Kim
SCSeeun Chang
Seeun Chang

25 June 2018 in Nuclear Technology
Verified
Journal Article
Closed access
SYSeok Yoon
Seok Yoon
MKMin-Jun Kim
Min-Jun Kim
SLSeung-Rae Lee
Seung-Rae Lee
GKGeon-Young Kim
Geon-Young Kim
A deep geological repository has been considered as one of the most appropriate options for the disposal of high-level radioactive waste (HLW), and it will be constructed in a host rock area at a depth of 500 to 1000 m below the ground surface. The geological repository system is based on the concept of an engineered barrier system, and it consists of a disposal canister with packed spent fuel, buffer material, backfill material, and intact rock. The buffer plays an important role to assure the disposal safety of HLW since it can restrain the release of radionuclides and protect the canister from the inflow of groundwater. Since an increased heat quantity is released from the disposal canister into the surrounding buffer material, the thermal conductivity of the buffer material constitutes a key parameter needed to analyze the entire disposal safety. Therefore, this study presents a thermal conductivity prediction model for compacted bentonite buffer material from Kyungju, which is the only bentonite produced in Korea. The thermal conductivity of the compacted bentonite buffer from Kyungju was measured using a hot-wire method according to varying degrees of saturation, dry density, and temperature. The measurements showed that the thermal conductivity was concurrently influenced by the degree of saturation, dry density, and temperature variation. A regression model was proposed to predict the thermal conductivity of the compacted bentonite buffer from Kyungju using the degree of saturation and the dry density as the dependent variables. An additional regression model was also introduced that incorporated the temperature variation as an additional dependent variable, and the two models were directly compared with each other.

30 September 2021 in Journal of Nuclear Fuel Cycle and Waste Technology
Verified
Journal Article
Closed access
GLGi-Jun Lee
Gi-Jun Lee
SYSeok Yoon
Seok Yoon
WCWon-Jin Cho
Won-Jin Cho