莫丽,肖雄,李长俊,等. 高压CO2长输管道O型密封圈快速减压损伤模型[J]. 油气储运,2025,x(x):1−11.
引用本文: 莫丽,肖雄,李长俊,等. 高压CO2长输管道O型密封圈快速减压损伤模型[J]. 油气储运,2025,x(x):1−11.
MO Li, XIAO Xiong, LI Changjun, et al. Development of a damage model for rapid decompression of O-ring seals in high-pressure and long-distance CO2 pipelines[J]. Oil & Gas Storage and Transportation, 2025, x(x): 1−11.
Citation: MO Li, XIAO Xiong, LI Changjun, et al. Development of a damage model for rapid decompression of O-ring seals in high-pressure and long-distance CO2 pipelines[J]. Oil & Gas Storage and Transportation, 2025, x(x): 1−11.

高压CO2长输管道O型密封圈快速减压损伤模型

Development of a damage model for rapid decompression of O-ring seals in high-pressure and long-distance CO2 pipelines

  • 摘要:
    目的 长输管道作为碳捕集、利用与封存(Carbon Capture, Utilization and Storage, CCUS)系统中大规模输送CO2的核心设施,其密封系统的可靠性直接影响技术流程的安全性与效率。尽管现有研究在高压CO2环境下橡胶O型圈损伤机制方面已取得一定进展,但快速减压过程中气体扩散与橡胶变形的耦合作用机制这一关键问题仍未得到充分研究。
    方法 针对该问题,基于菲克扩散定律、Mooney-Rivlin超弹性本构模型及最大主应变损伤准则,建立考虑CO2溶解渗透、橡胶非线性变形与材料损伤演化的多物理场耦合模型,通过有限元方法实现模型参数化求解,系统研究氢化丁腈橡胶(Hydrogenated Nitrile Butadiene Rubber,HNBR)、丁腈橡胶(Nitrile Butadiene Rubber,NBR)、三元乙丙橡胶(Ethylene Propylene Diene Monomer,EPDM)及天然橡胶(Natural Rubber,NR)4种典型密封材料在快速减压下的性能响应规律,重点分析压缩率、压力水平、泄压速度及空腔尺寸等因素的影响。
    结果 4 MPa外部压力下,HNBR抵抗快速减压性能最优,最大对数应变仅为0.17;而EPDM应变峰值达1.42,超过断裂伸长率发生破裂,材料抵抗快速减压损伤能力排序为HNBR>NR>NBR>EPDM。压缩率对HNBR的应变影响规律异于其他材料,源于其泄压阶段空腔承受的特殊压力差特性与本身材料特性;对于NBR、EPDM及NR,适度提升压缩率可降低快速减压阶段的应变。此外,空腔直径增大、泄压速度加快及外部压力升高均会导致O型圈内部空腔的应变增加。
    结论 所构建的数值模型能够精准预测高压CO2环境下O型圈在快速减压过程中的损伤行为,为管道密封系统的材料选型、结构参数设计以及运行维护策略制定提供可靠的理论支撑,推动"双碳"战略目标的实现。

     

    Abstract:
    Objective Long-distance pipelines are essential for large-scale CO2 transportation within the Carbon Capture, Utilization, and Storage (CCUS) system, where the reliability of sealing systems directly influences safety and efficiency. While research has advanced the understanding of the damage mechanisms affecting rubber O-rings in high-pressure CO2 environments, the coupling mechanism between gas diffusion and rubber deformation during rapid decompression remains underexplored.
    Methods In response to this issue, a multi-physics coupling model was developed, incorporating CO2 dissolution and permeation, nonlinear rubber deformation, and material damage evolution. This model is based on Fick’s law of diffusion, the Mooney-Rivlin hyperelastic constitutive model, and the maximum principal strain damage criterion. Utilizing the finite element method, a parametric solution was obtained to systematically investigate the performance response under rapid decompression of four typical sealing materials: Hydrogenated Nitrile Butadiene Rubber (HNBR), Nitrile Butadiene Rubber (NBR), Ethylene Propylene Diene Monomer (EPDM), and Natural Rubber (NR). The study focuses on analyzing the effects of factors such as the compression ratio, pressure level, decompression rate, and cavity size.
    Results Under an external pressure of 4 MPa, HNBR demonstrated the best resistance to rapid decompression, exhibiting a maximum logarithmic strain of only 0.17, while EPDM’s peak strain reached 1.42, surpassing its elongation at break and resulting in rupture. The materials’ resistance to damage during rapid decompression ranked as follows: HNBR > NR > NBR > EPDM. The influence of compression ratio on the strain of HNBR differed from that of other materials due to the unique pressure difference characteristics of the cavity during decompression and HNBR’s material properties. In contrast, NBR, EPDM, and NR exhibited reduced strain during rapid decompression with a moderate increase in compression ratio. Furthermore, an increase in cavity diameter, a faster decompression rate, and higher external pressure would result in increased strain within the cavity of the O-ring.
    Conclusion The developed numerical model accurately predicts the damage behavior of O-rings during rapid decompression in high-pressure CO2 environments, providing reliable theoretical support for material selection, structural parameter design, and the formulation of operational and maintenance strategies for pipeline sealing systems, thus facilitating the achievement of the “dual carbon” strategic goals.

     

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