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作 者:Heejeong Park Jiho Jeong Mijin Kwon Chun-Hyung Cho Seong-Chun Jun Junghae Choi Jina Jeong
机构地区:[1]Department of Geology,Kyungpook National University,Daegu,Republic of Korea [2]Korea Radioactive Waste Agency(KORAD),Daejeon,Republic of Korea [3]Geogreen21 Co.Ltd.,Seoul,Republic of Korea [4]Department of Earth Science Education,Kyungpook National University,Daegu,Republic of Korea
出 处:《Episodes》2024年第3期671-684,共14页地质幕(英文版)
基 金:supported by the Radioactive Waste Management of the Korea Institute of Energy Technology Evaluation and Planning grant funded by the Korea government Ministry of Knowledge(20193210100130);the National Research Foundation of Korea(NRF)grant funded by the Korea government(MSIT)(No.202008980000).
摘 要:An autoregressive long-and short-term memory(ARLSTM)model was applied to develop a real-time probabilistic slope stability estimation model for the engineered barrier system(EBS)of a near surface radioactive waste disposal facility.The effectiveness of the developed model was verified using actual data acquired from South Korea,including precipitation,soil moisture contents,and inclinometer time-series data.The precipitation and the factor of safety(FS)ensemble results were used as the input and output variables of the AR-LSTM model,respectively,where the FS ensemble results were calculated by the Taylor model,integrating the Mualem-van Genuchten soil water retention model with consideration of the multivariate statistics on the hydrophysical properties of the soil.The estimation accuracy of the AR-LSTM model was reasonable by showing high correlation coefficient(0.9468)and low root mean squared error(0.0070)values between the actual and estimated FS values.Moreover,a significant correlation was observed between the estimated FS ensemble results and displacement events recorded by the inclinometer sensor.All the results suggest the effectiveness of the developed model for the long-term integrity assurance of the EBS.
关 键 词:radioactive waste disposal radioactive waste disposal facility engineered barrier system ebs slope stability estimation engineered barrier system precipitation data based real time slope stability estimation
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