高级搜索

    基于图像观测砂质边坡地震破坏的动态变形分析可靠性研究

    Reliability Study of Dynamic Deformation Analysis Based on Image Observation Techniques for Sandy Slope Seismic Failure

    • 摘要: 图像观测变形分析是当前边坡失稳监测预警与室内物理试验中一种重要且发展迅速的测量手段,但在边坡地震动力作用下的变形特征、影响因素和方法可靠性方面,尚缺乏系统探讨.为此,基于含水率、覆水位、颗粒级配、边坡坡角等单因素控制下的多工况砂质边坡地震模型试验,分析了边坡变形模式、破坏特征及其影响因素,并评估了图像分析方法的适用性和可靠性.结果表明,研究工况下边坡呈现4种主要变形模式:溜滑、剪切滑坡、溜滑-坍塌和未破坏.各类变形模式的触发条件与破坏模式受诸多因素综合影响.当含水率为5%时,与干砂边坡相比,变形模式由浅层溜滑变为内部剪切滑坡;在半覆水位和全覆水位条件下,边坡分别表现为顶部溜滑、溜滑-坍塌的破坏特征;颗粒级配、坡角对边坡变形触发条件和模式具有显著影响,随着细粒含量减少、坡角增加,坡体不稳定性和滑体规模均呈增大趋势.在小变形条件下,PIVlab和RG-DIC方法均能有效分析边坡变形,其平均峰值误差分别为13.5%和9.2%,最大峰值误差分别为24.7%和19.6%.PIVlab和RG-DIC分别在缓慢小变形和瞬时大变形阶段发生错误,表明提升多尺度变形分析的适用性和可靠性,是当前图像变形方法发展的关键问题.建立的数据和结论可为边坡地震灾害风险防治和图像观测变形分析方法发展提供参考和借鉴.

       

      Abstract: Image-based deformation analysis has emerged as a critical technique for slope instability monitoring,early warning,and indoor physical experiments.However,its applicability and reliability in analyzing dynamic deformations of slopes under seismic conditions remain insufficiently explored.Based on multi-condition sandy slope earthquake model tests under single factors such as water content,water coverage,particle gradation,and slope angle,this study systematically investigates deformation modes,failure characteristics,and influencing factors,and evaluates the reliability and applicability of image analysis methods.Research has found that:the studied conditions exhibit four primary deformation modes:sliding,shear sliding,sliding-collapse,and no failure,with their deformation triggering conditions and failure modes influenced by a combination of multiple factors.Slopes with 5% water content transition from shallow sliding to internal shear sliding compared to dry counterparts;slopes with half and full water coverage display top sliding and sliding-collapse failure characteristics,respectively.Particle gradation and slope angle have significant impacts on the triggering conditions and modes of slope deformation.As the fine particle content decreases and the slope angle increases,both slope instability and the scale of sliding bodies augment.For small deformations,PIVlab and RG-DIC methods effectively analyze slope deformations,with average peak errors of 13.5% and 9.2%,and maximum peak errors of 24.7% and 19.6%,respectively.Errors occur in PIVlab and RG-DIC during slow small deformations and instantaneous large deformations,respectively,indicating that enhancing the applicability and reliability of multi-scale deformation analysis is a crucial issue in the current development of image deformation methods.The established data and conclusions provide guidance and reference for the prevention and control of slope earthquake disaster risks and the development of image-based deformation analysis methods.

       

    /

    返回文章
    返回