Mechanical mechanism and composite structure optimization of hard rock hydrogen storage caverns
ZHANG Junxiang1, LIU Huandui2*, WANG Guibin2, LUO Zixue1, SONG Yu2
(1. School of Energy and Power Engineering, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China;
2. State Key Laboratory of Geomechanics and Geotechnical Engineering Safety, Institute of Rock and Soil Mechanics,
Chinese Academy of Sciences, Wuhan, Hubei 430071, China)
摘要地下衬砌岩洞（lined rock cavern，LRC）作为大规模储氢的重要技术路径，其力学稳定性与气密性直接影响工程安全与经济性。针对复杂地质与运行条件下LRC组合结构性能评价难题，建立三维数值模型，定义洞壁环向应变、荷载分担比与结构损伤度为评价指标，开发适用于LRC的Pythagorean模糊语言云模型（Pythagorean fuzzy linguistic cloud，PFLC），实现多属性决策下的LRC力学性能定量评价与优化。结果表明，围岩强度对结构响应影响最为显著，相关系数达77%，临界气压小于岩体无侧限抗压强度。基于研究分析，提出组合结构协同优化策略：在高强度（≥II级）围岩区，衬砌厚度可优化至0.5 m，埋深降至200 m以内；衬砌材料宜选用C30～C35韧性混凝土；减小长径比至5:1或实施轴向加固以维持整体刚度。基于地质适应性与工程可控性构建的多目标优化框架可为LRC储氢库的性能评价与结构优化设计提供定量依据与理论支撑。
Abstract：The lined rock cavern (LRC) offers a promising solution for large-scale hydrogen storage, where mechanical stability and gas tightness are essential for operational safety and efficiency. To address the challenges of evaluating LRC composite structure under complex geological and operational conditions, this study establishes a three-dimensional numerical model and identifies circumferential strain, load-sharing ratio, and structural damage ratio as key evaluation indicators. A Pythagorean fuzzy linguistic cloud (PFLC) model is developed to facilitate quantitative multi-attribute decision-making for assessing and optimizing LRC performance. Results indicate that rock mass strength is the dominant factor, with a correlation coefficient of 77%, and the critical operating pressure remains below the uniaxial compressive strength of the host rock. Based on these findings, a cooperative optimization strategy for the composite structure is proposed: in high-strength rock zones (Class≥II), the lining thickness can be reduced to 0.5 m, and the burial depth can be less than 200 m; C30–C35 ductile concrete is recommended for linings; and reducing the aspect ratio to 5:1 or applying axial reinforcement helps maintain overall stiffness. The proposed multi-objective optimization framework, which integrates geological adaptability and engineering controllability, provides a quantitative basis and theoretical support for the performance evaluation and structural optimization of LRC hydrogen storage caverns.
张俊祥1，刘桓兑2*，王贵宾2，罗自学1，宋 宇2. 硬岩储氢库受力机制与组合结构优化[J]. 岩石力学与工程学报, 2026, 45(3): 825-841.
ZHANG Junxiang1, LIU Huandui2*, WANG Guibin2, LUO Zixue1, SONG Yu2. Mechanical mechanism and composite structure optimization of hard rock hydrogen storage caverns. , 2026, 45(3): 825-841.
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2026, Vol. 45 
