IF 1.8 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Engineering reports : open access Pub Date : 2025-03-12 DOI:10.1002/eng2.70030
Xiongxiong Zhou, Wenjun Cai, Qiujiang He, Jing Zhou, Bingqian Zhou
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摘要

CFRD 因其优越的结构稳定性和经济性而在世界范围内得到广泛应用。然而,随着坝高的增加,变形控制问题日益突出,尤其是与内部填石变形密切相关的面板变形控制。与单个监测点的监测数据相比,坡面变形能更有效地反映大坝堆石区的变形特征。为确保 CFRD 的长期稳定和安全运行,对 CFRD 的坡面变形进行施工和分析尤为重要。为了提高预测精度,本文提出了一种基于多点监测数据的坝坡平面变形建模与分析方法。本文以洪家渡 CFRD 实际监测数据为基础,全面分析了施工期和蓄水期填筑过程、水位变化、时间效应等因素对 CFRD 沉降的影响,建立了所有监测点的沉降统计模型。通过研究各监测点沉降统计模型参数与其自身位置坐标之间的关系,利用薄板样条插值法建立了坝坡面的时空分布模型,并利用该模型对坝坡面的沉降进行预测。该方法在预测精度方面具有很大优势。通过考虑时间和空间分布特征,该方法可有效捕捉坝体的整体和局部变形,提高沉降预测精度。与传统的单点监测方法相比,所提出的方法在多点数据协同分析的基础上提供了更加准确的预测结果,为大坝位移监测和沉降预测提供了新的思路,具有较高的工程应用和推广价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Construction and Analysis of Slope Plane Deformation of High CFRD Based on Statistical Analysis of Multi-Points Monitoring Data

CFRD have been widely used worldwide because of their superior structural stability and economy. However, with the increasing of dam height, the issue of deformation control is becoming increasingly prominent, especially the panel deformation control which closely related to the internal rockfill deformation. Comparing with the monitoring data of a single monitoring point, the slope plane deformation can reflect the deformation characteristics of the dam rockfill area more effective. To ensure the long-term stability and safe operation of the CFRD, construction and analysis the slope plane deformation of the CFRD is particularly important. In order to improve the accuracy of prediction, a method of modeling and analysis of dam slope plane deformation based on multi-points monitoring data is proposed in this paper. Based on the actual monitoring data of the Hongjiadu CFRD, this paper comprehensively analyzes the influence of the filling process, water level change, and time effect on the settlement of the CFRD during the construction and impoundment periods, and establishes the settlement statistical model of all monitoring points. By studying the relationship between the parameters of the settlement statistical model of each monitoring point and its own position coordinates, a spatial–temporal distribution model of the dam slope plane is established by using the thin plate spline interpolation method, and it is used to predict the settlement of the dam slope plane. This method has great advantages in the prediction accuracy. By considering the temporal and spatial distribution characteristics, this method can effectively capture the whole and local deformation of the dam body and improve the prediction accuracy of settlement. Compared with the traditional single point monitoring method, the proposed method provides more accurate prediction results on the basis of multi-point data collaborative analysis, provides a new idea for dam displacement monitoring and settlement prediction, and has high engineering application and popularization value.

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5.10
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审稿时长
19 weeks
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