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
Argillaceous rocks are considered ideal host geomaterials for deep geological disposal of radioactive waste due to their low permeability,notable sorption capacity,low diffusion coefficient,limited natural fracturing,...Argillaceous rocks are considered ideal host geomaterials for deep geological disposal of radioactive waste due to their low permeability,notable sorption capacity,low diffusion coefficient,limited natural fracturing,and capacity for self-sealing.In line with this objective,substantial efforts have been made in the literature over the past decades to model their behavior numerically.Yet,accurately modeling the hydromechanical behavior of argillaceous rocks remains a significant challenge in geomechanics,highlighting the need for further research.Despite the wide variety of geomaterials in this class,common behavioral features are observed,such as anisotropy,structural degradation,strain localization,creep,heterogeneity,and self-sealing.This study summarizes these common features observed in laboratory and field settings and reviews the developed approaches for modeling each behavioral aspect.The goal is to establish a comprehensive framework for the practical modeling of these geomaterials,specifically aimed at applications in the geological disposal of radioactive waste.展开更多
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。
基金financial support of the French National Radioactive Waste Management Agency(Andra)is gratefully acknowledged.
文摘Argillaceous rocks are considered ideal host geomaterials for deep geological disposal of radioactive waste due to their low permeability,notable sorption capacity,low diffusion coefficient,limited natural fracturing,and capacity for self-sealing.In line with this objective,substantial efforts have been made in the literature over the past decades to model their behavior numerically.Yet,accurately modeling the hydromechanical behavior of argillaceous rocks remains a significant challenge in geomechanics,highlighting the need for further research.Despite the wide variety of geomaterials in this class,common behavioral features are observed,such as anisotropy,structural degradation,strain localization,creep,heterogeneity,and self-sealing.This study summarizes these common features observed in laboratory and field settings and reviews the developed approaches for modeling each behavioral aspect.The goal is to establish a comprehensive framework for the practical modeling of these geomaterials,specifically aimed at applications in the geological disposal of radioactive waste.
