This article presents findings from an extensive experimental program conducted by the French Agency for the Management of Radioactive Waste(ANDRA)at its Underground Research Laboratory.The focus of the study is the N...This article presents findings from an extensive experimental program conducted by the French Agency for the Management of Radioactive Waste(ANDRA)at its Underground Research Laboratory.The focus of the study is the NSC(Noyau de SCellement)experiment,designed to assess the performance of a sealing core composed of a mixture of 40%bentonite and 60%sand.The objective is to evaluate in situ hydraulic permeability,swelling behavior,and gas performance of the seal,which are essential components for the safe disposal of Intermediate-Level(IL)and High-Level Radioactive Waste(HLW)in deep geological repositories.The experimental setup,construction details of the NSC experiment,and the timeline of the project,from excavation,construction of the seal,and artificial hydration to hydraulic permeability tests,are comprehensively described.Andra has acquired valuable expertise in constructing an engineered barrier system,encompassing concrete plugs,and efficiently assembling a 5-m-long seal.Over the past decade,a controlled water injection process has been employed to hydrate the seal.The operational efficiency of sensors has been evaluated,with pore pressure sensors exhibiting moderate performance.In contrast,others,including total pressure,capacitive humidity,psychrometric humidity,and saturation sensors,demonstrate excellent performance up to their operational limits.The high-quality data obtained from this experiment will facilitate the modeling of the resaturation and hydraulic-gas performance of the seal.展开更多
高放废物地质处置特别是地下实验室研发过程中的多源数据融合挖掘研究具有重要意义(Wang Ju et al.,2018)。然而,目前阶段尚未实现对研发过程中多源数据的融合挖掘与二次应用。针对上述问题,从地下实验室多源监测数据特点出发,在确定地...高放废物地质处置特别是地下实验室研发过程中的多源数据融合挖掘研究具有重要意义(Wang Ju et al.,2018)。然而,目前阶段尚未实现对研发过程中多源数据的融合挖掘与二次应用。针对上述问题,从地下实验室多源监测数据特点出发,在确定地下实验室多源监测数据模型构建的基础上,结合深度学习技术,初步构建了地下实验室多源监测数据融合技术方法,并初步开展了数据融合设计,为处置库场址评价和安全评价等综合评价工作提供了新的研究思路。展开更多
文摘This article presents findings from an extensive experimental program conducted by the French Agency for the Management of Radioactive Waste(ANDRA)at its Underground Research Laboratory.The focus of the study is the NSC(Noyau de SCellement)experiment,designed to assess the performance of a sealing core composed of a mixture of 40%bentonite and 60%sand.The objective is to evaluate in situ hydraulic permeability,swelling behavior,and gas performance of the seal,which are essential components for the safe disposal of Intermediate-Level(IL)and High-Level Radioactive Waste(HLW)in deep geological repositories.The experimental setup,construction details of the NSC experiment,and the timeline of the project,from excavation,construction of the seal,and artificial hydration to hydraulic permeability tests,are comprehensively described.Andra has acquired valuable expertise in constructing an engineered barrier system,encompassing concrete plugs,and efficiently assembling a 5-m-long seal.Over the past decade,a controlled water injection process has been employed to hydrate the seal.The operational efficiency of sensors has been evaluated,with pore pressure sensors exhibiting moderate performance.In contrast,others,including total pressure,capacitive humidity,psychrometric humidity,and saturation sensors,demonstrate excellent performance up to their operational limits.The high-quality data obtained from this experiment will facilitate the modeling of the resaturation and hydraulic-gas performance of the seal.
文摘高放废物地质处置特别是地下实验室研发过程中的多源数据融合挖掘研究具有重要意义(Wang Ju et al.,2018)。然而,目前阶段尚未实现对研发过程中多源数据的融合挖掘与二次应用。针对上述问题,从地下实验室多源监测数据特点出发,在确定地下实验室多源监测数据模型构建的基础上,结合深度学习技术,初步构建了地下实验室多源监测数据融合技术方法,并初步开展了数据融合设计,为处置库场址评价和安全评价等综合评价工作提供了新的研究思路。
