Seismic demand assessment for SMRs considering local geotechnical characteristics and permafrost through large-scale computing and hybrid simulations

通过大规模计算和混合模拟，考虑当地岩土特征和永久冻土的SMR地震需求评估

• 批准号: 580472-2022
• 负责人: Kwon, OhSungO
• 金额: $ 8.74万
• 依托单位: University of Toronto
• 依托单位国家: 加拿大
• 项目类别: Alliance Grants
• 财政年份: 2022
• 资助国家: 加拿大
• 起止时间: 2022-01-01 至 2023-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=749229
• 关键词: Seismic; demand; assessment; SMRs; considering

Small modular reactors (SMRs) have power capacities from 10 MW(e) up to 300 MW(e). They are designed to serve remote communities where the infrastructure for constructing large-capacity nuclear power plants (NPPs) or electric power transmission is limited. Significant parts of SMRs are manufactured at a facility and shipped and installed on a site. Unlike the large-scale NPPs for which the sites can be carefully selected considering various geotechnical hazards, the SMRs may need to be installed on unfavourable sites as they are designed to serve small remote communities with limited transmission networks. Considering the potentially unfavourable site conditions, nonlinear modelling of near-field soil is inevitable for accurately predicting seismic demands to SMR equipment. This research project is to develop methods with which the seismic demands on the equipment of SMRs can be realistically assessed. Three main research tasks are proposed. Firstly, a simulation method will be developed where the far-field soil of an SMR site can be modelled in a semi-automatic manner using borehole log data. The far-field soil will be analyzed in a supercomputer. The near-field soil, which might behave in a nonlinear range due to soil-structure interaction, will be modelled in a dedicated open-source program. A numerical analysis method will be developed to integrate the two domain models concurrently. Secondly, a parametric study will be carried out to investigate the impact of nonlinear near-field soil and the freeze and thaw of permafrost. Thirdly, an advanced hybrid (experimental-numerical) simulation method will be developed, which can model the interaction of a partially embedded SMR with nearfield soil. The hybrid simulation method can be scaled up for large-scale testing. Through the project, at least three HQPs will be trained with an in-depth understanding of nonlinear soil-structure interaction, which is an essential research area for the design and assessment of SMRs. The research results will put the Canadian nuclear industry at the forefront of SMR design and deployment.

小型模块化反应堆 (SMR) 的功率容量为 10 MW(e) 至 300 MW(e)。它们旨在为建设大型核电站（NPP）或电力传输的基础设施有限的偏远社区提供服务。 SMR 的重要部件是在工厂制造并在现场运输和安装的。与大型核电站不同的是，大型核电站可以考虑各种岩土工程危险来仔细选择厂址，而小型反应堆可能需要安装在不利的场地，因为它们旨在为传输网络有限的小型偏远社区提供服务。考虑到潜在不利的场地条件，为了准确预测 SMR 设备的地震需求，近场土壤的非线性建模是不可避免的。该研究项目旨在开发能够实际评估中小型反应堆设备的地震需求的方法。提出了三项主要研究任务。首先，将开发一种模拟方法，可以使用钻孔测井数据以半自动方式对 SMR 站点的远场土壤进行建模。远场土壤将在超级计算机中进行分析。由于土壤与结构的相互作用，近场土壤可能会在非线性范围内表现，将在专用的开源程序中进行建模。将开发一种数值分析方法来同时集成两个域模型。其次，将进行参数化研究，研究非线性近场土壤和多年冻土冻融的影响。第三，将开发一种先进的混合（实验-数值）模拟方法，该方法可以模拟部分嵌入的SMR与近场土壤的相互作用。混合模拟方法可以扩大规模以进行大规模测试。 通过该项目，至少三名高级工程师将接受培训，深入了解非线性土体-结构相互作用，这是 SMR 设计和评估的重要研究领域。研究成果将使加拿大核工业走在SMR设计和部署的最前沿。