考虑高压气体泄漏的海底压气储能洞室抗抬极限承载力计算方法

    Calculation method for anti-uplift ultimate bearing capacity of offshore compressed air energy storage caverns considering high-pressure gas leakage

    • 摘要: 为精细评估海底压气储能洞室稳定性问题,本文提出考虑内部高压气体泄漏的海底压气储能洞室抗抬极限承载力计算方法。基于极限分析上限定理,假设岩体破坏面为曲面,构建考虑高压气体泄漏、孔隙水压力及岩体非线性力学特性的抗抬极限承载力计算模型。通过菲克第二定律描述高压气体泄漏的压力分布规律,结合 Hoek-Brown 强度准则量化岩体破坏特性,采用 Runge-Kutta 数值方法与解析解法联合求解破坏面形态及极限内压,并通过 Morris 敏感性分析识别关键影响参数。研究结果表明:挪威准则计算结果偏于保守,本文方法考虑岩体非线性响应与气体泄漏效应,计算结果更贴合工程实际;气体泄漏对洞室极限承载力存在显著削弱作用,泄漏程度减小时,承载力逐渐收敛;岩层埋深、地质强度因子(GSI)和比奥系数是影响极限承载力的关键参数,其中地质强度因子的非线性影响最为显著。本文提出的计算模型与分析方法可为海底压气储能洞室的抗抬稳定性设计与安全评估提供理论支撑,并能推广应用于同类型地下工程。

       

      Abstract: To accurately evaluate the stability of offshore compressed air energy storage (CAES) caverns, this study aim to propose a calculation method for the ultimate anti-uplift bearing capacity of offshore CAES caverns considering internal high-pressure gas leakage. Based on the upper bound theorem of limit analysis, assuming the rock mass failure surface is a curved surface, a calculation model for ultimate uplift resistance bearing capacity is established, incorporating high-pressure gas leakage, pore water pressure, and the nonlinear mechanical properties of the rock mass. Fick’s second law is employed to describe the pressure distribution of high-pressure gas leakage, while Hoek-Brown strength criterion is used to quantify the failure characteristics of the rock mass. The Runge-Kutta numerical method combined with an analytical solution is adopted to solve the failure surface morphology and ultimate internal pressure, while the Morris sensitivity analysis is applied to identify key influencing parameters. The results indicate that the calculation of the Norwegian criterion is relatively conservative, whereas the proposed method, which accounts for the nonlinear response of the rock mass and gas leakage effects, yields results more consistent with engineering practice. Gas leakage significantly influences the ultimate bearing capacity of the caverns, and the bearing capacity gradually converges as the leakage degree decreases. Rock stratum burial depth, geological strength index (GSI), and Biot coefficient are the key parameters affecting the ultimate bearing capacity, among which the geological strength index exhibits the most significant nonlinear influence. The calculation model and analysis method proposed in this study can provide theoretical support for the uplift stability design and safety assessment of offshore CAES caverns.

       

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