高心墙堆石坝坝顶全平面变形构建与裂缝分析

Full-plane deformation modeling and crack analysis of HCRD

  • 摘要: 随着中国土石坝建设规模和数量的不断突破,变形控制和破坏防治等难题也愈发突出。监测资料能真实反映大坝的变形情况,而相较于单个测点的监测变形,特征平面的全平面变形能更有效地反映大坝的变形特征。为了提高心墙堆石坝变形和裂缝分析的可靠性,构建坝顶全平面变形势在必行。以瀑布沟高心墙堆石坝工程为例,提出了一种基于多点监测数据统计分析的坝顶全平面变形构建与分析方法。首先,采用分段统计分析的方法构建坝顶各测点沉降统计模型;然后,分析坝顶各测点沉降统计模型参数与其空间坐标的函数关系,构建可反映整个坝顶平面沉降的统计模型,并计算不同时间点坝顶全平面变形;最后,通过对坝顶全平面沉降统计模型求导,得到坝顶全平面变形倾度并进行裂缝分析。结果表明,研究方法能很好地构建坝顶全平面变形模型,模拟所得变形与裂缝开裂情况与实际吻合。研究将土石坝变形分析从独立测点拓展到更加可靠的特征平面,可提高监测数据的利用率,为土石坝变形与安全分析提供了有效的技术支持。

     

    Abstract: With the continuous expansion of the scale and number of earth-rock dams in China, challenges related to deformation control and structural safety have become increasingly prominent. Accurate monitoring data provide a direct and reliable means of capturing the actual deformation behavior of dams. Compared with deformation measurements at individual monitoring points, full-plane deformation across a characteristic plane of the dam offers a more comprehensive understanding of its structural response, encompassing both local and global deformation trends. To enhance the reliability of deformation and crack analysis for high core rockfill dams (HCRDs), it is necessary to construct a detailed full-plane deformation model of the dam crest. Using the HCRD at Pubugou as a case study, this paper proposes a methodology for constructing and analyzing full-plane deformation at the dam crest based on multi-point monitoring data and statistical analysis. Settlement data from each monitoring point along the dam crest are first processed using a sectional statistical analysis method to establish individual settlement models. This approach enables temporal variations in settlement at different sections of the crest to be effectively captured, providing a foundation for subsequent spatial modeling. Finally, the relationship between the parameters of each settlement model and their corresponding spatial coordinates is examined to construct a statistical model representing the overall settlement of the entire dam crest plane. By integrating data from all monitoring points, the model can estimate full-plane deformation at different time intervals, providing a comprehensive representation of the dam’s deformation process. This method bridges the gap between localized point measurements and the global deformation pattern, enabling more accurate assessment of structural behavior. To further quantify deformation characteristics, the gradient of the full-plane settlement model is calculated to derive the deformation inclination of the dam crest. This facilitates identification and analysis of areas prone to differential settlement or excessive tilting, which are closely linked to crack formation and potential structural risks. The results demonstrate that the proposed methodology constructs a reliable full-plane deformation model of the dam crest. The predicted deformation and crack distributions show good agreement with field observations, confirming the effectiveness and applicability of the approach. By extending deformation analysis from individual monitoring points to a comprehensive characteristic plane, this study enhances the utilization of monitoring data and improves the interpretability of dam deformation patterns. The methodology provides a quantitative and spatially continuous basis for assessing both settlement and crack development, which is critical for structural safety evaluation, maintenance planning, and early warning systems. Moreover, the integration of multi-point data and statistical modeling captures local variations as well as overall trends, facilitating informed decision-making in dam operation and risk management. In conclusion, the approach presented in this paper enables detailed and accurate characterization of full-plane deformation in high core rockfill dams. By combining multi-point statistical analysis with spatial modeling, it offers an effective and reliable tool for monitoring, predicting, and analyzing dam deformation and associated crack development. The method is generalizable and applicable to other large-scale embankment dams, providing a solid foundation for engineering evaluation, operational optimization, and safety management. Overall, this study advances the analytical framework for earth-rock dam deformation, improves monitoring efficiency, and supports the sustainable and safe operation of such infrastructure.

     

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