Qualification of a double porosity reactive transport model for MX-80 bentonite in deep geological repositories for nuclear wastes

IF 4.8 2区 环境科学与生态学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Environmental Modelling & Software Pub Date : 2024-07-10 DOI:10.1016/j.envsoft.2024.106139
Virginia Cabrera , Rubén López-Vizcaíno, Ángel Yustres, Vicente Navarro
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Abstract

Currently, the deep geological repository approach for spent nuclear fuel is regarded as the most dependable and secure method for permanently disposing of this kind of waste. Among its key safety components is an engineered barrier made from compacted bentonite, which isolates the encapsulated waste from the surrounding host rock. As a result, understanding how bentonites react to varying compositions of groundwater is crucial. This is where numerical modelling becomes essential.

It is generally approved by the scientific community to idealise bentonite as a material structured under a double porosity system composed of the macro and microstructure. In this context, this paper illustrates the capabilities of a double-porosity reactive transport model for bentonites fully implemented in the multiphysics COMSOL platform. For this purpose, different experimental tests were simulated based on the evaluation of diffusive ion transport, mineral dissolution and cation exchange processes in MX-80 bentonite, obtaining very satisfactory results.

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核废料深地质处置库中 MX-80 膨润土双孔隙度反应迁移模型的鉴定
目前,乏核燃料的深层地质处置方法被认为是永久处置这类废物的最可靠、最安全的方法。其关键的安全组成部分是由压实膨润土制成的工程屏障,它将封装的废料与周围的主岩隔离开来。因此,了解膨润土对不同成分地下水的反应至关重要。科学界普遍认为,膨润土的理想结构是由宏观和微观结构组成的双孔系统。在此背景下,本文展示了在多物理场 COMSOL 平台上完全实现的膨润土双孔反应输运模型的功能。为此,在评估 MX-80 膨润土中的扩散离子输运、矿物溶解和阳离子交换过程的基础上,模拟了不同的实验测试,取得了非常令人满意的结果。
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来源期刊
Environmental Modelling & Software
Environmental Modelling & Software 工程技术-工程:环境
CiteScore
9.30
自引率
8.20%
发文量
241
审稿时长
60 days
期刊介绍: Environmental Modelling & Software publishes contributions, in the form of research articles, reviews and short communications, on recent advances in environmental modelling and/or software. The aim is to improve our capacity to represent, understand, predict or manage the behaviour of environmental systems at all practical scales, and to communicate those improvements to a wide scientific and professional audience.
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