孔隙土体潜蚀过程颗粒运移规律及声发射特征研究

    PARTICLE TRANSPORT LAW AND ACOUSTIC EMISSION CHARACTERIZATION OF SANDY POROUS SOIL SUBDUCTION PROCESS

    • 摘要: 研究堤基内部潜蚀的致灾机制,对于应对管涌险情、开展应急抢险、降低人员伤亡及财产损失具有重要意义。为探究潜蚀破坏的全过程,采用自制试验设备,设计6组不同细颗粒含量的试样,利用声发射(AE)与粒子图像测速(PIV)技术对其潜蚀破坏过程进行定量分析,探索颗粒运动与声学特征破坏前兆及演化规律。结果表明:(1)通过PIV可以测量渗透破坏全过程,试件中心的细颗粒运移速度最快,并将渗流潜蚀过程分为6个阶段:初始阶段、细颗粒启动阶段、管涌初期阶段、管涌发展阶段、管涌成熟阶段以及渗透破坏阶段;(2)细颗粒含量是影响渗流过程的关键因素之一,细颗粒含量大于15%的试件较细颗粒含量5%、10%的试件稳定,说明随着细颗粒含量的增加,渗流对试件的影响变小,且土体中细颗粒含量越少,细颗粒运移启动的时间点越早;(3)获得渗透破坏前声发射信号与细颗粒速度分布规律,渗透破坏发生时AE能量达到峰值,在峰值前b值已出现下降趋势。本研究可通过声发射特征参数来描述、解释和预测渗流破坏过程并提供一定研究基础。

       

      Abstract: To investigate the disaster-inducing mechanisms of internal erosion in levee foundations,a series of experiments was conducted using self-developed equipment. Six groups of specimens with different fines contents were designed,and their internal erosion failure processes were quantitatively analyzed using acoustic emission(AE)and particle image velocimetry(PIV)techniques. This study explored particle movement,acoustic characteristic precursors to failure,and their evolutionary patterns. The results indicate that: (1)PIV effectively captured the entire seepage failure process. The migration velocity of fine particles was highest at the specimen center. The seepage induced internal erosion process was divided into six stages: initial stage,fine particle initiation stage,initial piping stage,piping development stage,piping maturity stage,and seepage failure stage. (2)Fines content is a key factor influencing the seepage process. Specimens with fines content exceeding 15% exhibited greater stability compared to those with 5% and 10% fines content,suggesting that the impact of seepage diminishes as fines content increases. Furthermore,lower fines content leads to an earlier initiation of fine particle migration. (3)The relationship between acoustic emission signals and fine particle velocity distribution prior to seepage failure was revealed. AE energy peaked at the moment of seepage failure,while the b-value showed a declining trend before this peak. This research provides a basis for describing,explaining,and predicting the seepage failure process using AE characteristic parameters.

       

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