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高拱坝变形性态分析及安全监控研究进展
Research Progress on Deformation Behavior Analysis and Safety Monitoring of High Arch Dams
变形性态是高拱坝坝体、坝基结构性态变化的综合反映,研究并提出科学的高拱坝变形性态分析及安全监控理论,对确保工程安全服役意义重大。因此,对拱坝变形性态分析、拱坝变形性态监控模型、拱坝变形性态预警准则的研究现状进行了评述,着重论述了3个亟需解决的关键科学问题,即:高拱坝-近坝山体变形时变效应互馈机制、高拱坝-近坝山体变形渐进灾变过程互馈机制、高拱坝变形屈曲失稳模式及预警准则。研究成果可为高拱坝变形性态智慧监测、特征分析以及安全监控的研究提供新视角。
Deformation is the comprehensive reflection of the structural behavior of high arch dam bodies and their foundations. To ensure the safe service of such projects, it is of utmost importance to study and propose scientific theories for deformation behavior analysis and safety monitoring of high arch dams. This study reviews the current research progress on deformation behavior analysis, monitoring models, and early warning criteria for the deformation behavior of high arch dams, providing a new perspective for intelligent monitoring, characteristic analysis, and safety monitoring of dam deformation. Three key scientific issues that need to be addressed urgently are emphasized, namely, the mutual feedback mechanism of time-varying effects of deformation between high arch dams and adjacent dam abutments, the mutual feedback mechanism of progressive failure process of deformation between the two, and the buckling instability modes and corresponding early warning criteria for the deformation behavior of high arch dams. In future research and practice, the following aspects should be given due attention. First, research on the deformation mechanisms of high arch dams and adjacent dam abutments under complex environmental conditions should be strengthened, with particular emphasis on the impact of cold waves, freeze-thaw cycles, dissolution, and carbonation in cold regions, along with their coupled effects, to refine theoretical models. Second, interdisciplinary integration should be advanced by leveraging emerging technologies, such as artificial intelligence, the Internet of Things, and blockchain, to enable in-depth mining and intelligent analysis of deformation characteristics of high arch dams and adjacent dam abutments. Furthermore, a comprehensive monitoring database and shared platform should be established for deformation of high arch dams and adjacent dam abutments to facilitate efficient management and utilization of monitoring data, thereby providing scientific evidence and technical support for the safe operation, performance improvement, and service life extension of high arch dam projects.
高拱坝 / 变形性态 / 结构安全 / 智慧监测 / 安全监控
high arch dam / deformation behavior / structural safety / intelligent monitoring / safety monitoring
| [1] |
中华人民共和国水利部. 2022年全国水利发展统计公报[M]. 北京: 中国水利水电出版社, 2023.
(Ministry of Water Resources of the People’s Republic of China. 2022 Statistic Bulletin on China Water Activities[M]. Beijing: China Water & Power Press, 2023.(in Chinese))
|
| [2] |
刘毅, 杨波, 张敬, 等. 基于性态仿真的特高拱坝设计研究与应用之一: 我国拱坝结构分析方法发展现状与展望[J]. 水利水电技术, 2020, 51(10): 41-54.
(
|
| [3] |
|
| [4] |
王继敏, 郑江. 锦屏一级水电站工程建设重大关键技术研究与实践[J]. 水利学报, 2021, 52(1): 12-20.
(
|
| [5] |
顾冲时, 苏怀智, 王少伟. 高混凝土坝长期变形特性计算模型及监控方法研究进展[J]. 水力发电学报, 2016, 35(5): 1-14.
(
|
| [6] |
周建平, 杜效鹄. 中国特高拱坝建设特点与关键技术问题[J]. 水力发电, 2012, 38(8): 29-32, 50.
(
|
| [7] |
胡森映. 特高拱坝三维非线性整体安全度评价标准研究[D]. 北京: 清华大学, 2016.
(
|
| [8] |
赵二峰, 顾冲时. 特高拱坝结构性态诊断与监控方法述评[J]. 水利水运工程学报, 2023(1):16-26.
(
|
| [9] |
李子昌. 特高拱坝应力与整体安全度控制指标研究[D]. 北京: 清华大学, 2010.
(
|
| [10] |
杨俊峰, 李萌, 李松辉, 等. 寒冷地区特高拱坝混凝土最高温度控制研究: 以东庄拱坝为例[J]. 水利水电技术(中英文), 2024, 55(7): 93-103.
(
|
| [11] |
顾冲时, 苏怀智. 混凝土坝工程长效服役与风险评定研究述评[J]. 水利水电科技进展, 2015(5): 1-12.
(
|
| [12] |
李德玉, 廖建新, 涂劲, 等. 高拱坝抗震安全研究[J]. 水利水电技术, 2019(8): 77-83.
(
|
| [13] |
高志良, 田凌云, 庞磊, 等. 大岗山高拱坝地震动力响应特征分析: 以泸定6.8级地震为例[J]. 长江科学院院报, 2024, 41(6): 143-149, 163.
为了探究2022年9月5日四川甘孜州泸定县6.8级地震对大岗山高拱坝的影响,根据坝体及坝基上布置的由21台强震仪组成的强震监测系统监测记录,对泸定地震强震监测数据进行了时域和频域分析,总结了大岗山高拱坝在泸定地震中的动力响应规律。分析结果表明:泸定地震时坝顶与两岸坝肩的位移与加速度较大,加速度峰值最大为576.6 cm/s2,位于坝顶6#坝段;大岗山高拱坝对频率范围为0.5~8 Hz的地震动响应最为明显;坝体高程对地震动响应具有放大效应,且顺河向加速度峰值放大该效应最明显。震后大坝运行状态稳定,整体受地震影响较小,但坝肩及两岸边坡处需引起重视。研究成果可为类似拱坝的安全运行提供参考。
(
|
| [14] |
|
| [15] |
|
| [16] |
The safety of a high concrete arch dam should be rapidly diagnosed from different angles. Displacement is an actual comprehensive reflection of the arch dam, and it is very important to diagnose the overall deformation behaviour by displacement-based mathematical monitoring models. In this article, based on the spatial association validation of the measured displacement of two high arch dams by the empirical orthogonal function decomposition and the Pearson correlation analysis, two spatial association–considered mathematical models were proposed for the dam displacement of multimonitoring points: one model for the long-term balanced relationship and one model for the short-term fluctuation. To diagnose the abnormality of the dam long-term spatial association, each displacement time series of the multimonitoring points on the dam body with strong spatial associations was decomposed by wavelet multiresolution analysis, and the decomposed high-frequency components, which had the same periodicity as the causal factors of the reservoir water level or air temperature, were determined to establish the cointegration monitoring model. The second model was a combination prediction model, with two sub-models established from the modelling angles of the hydraulic, seasonal and time causal factors and the adjacent point displacement factors, and this second model was mainly used for identifying dam short-term local abnormal deformation behaviour. Engineering examples show that the deformation behaviour of an arch dam under normal conditions has strong spatial associations. The two proposed models have high accuracy and interpreting ability and can effectively reduce the number of needed monitoring models.
|
| [17] |
陈波, 吴诚姝, 刘庭赫, 等. 特高拱坝长期运行时变效应的状态空间诊断方法[J]. 岩石力学与工程学报, 2023, 42(4): 868-878.
(
|
| [18] |
杨光, 李姝昱, 孙锦, 等. 依据主成分和协整性的大坝变形奇异诊断[J]. 振动、测试与诊断, 2022, 42(5):918-924.
(
|
| [19] |
|
| [20] |
董建华, 刘超, 陈建叶, 等. 含深卸荷岩体拱坝坝肩变形特性及稳定分析[J]. 工程科学与技术, 2019, 51(3): 43-51.
(
|
| [21] |
|
| [22] |
|
| [23] |
|
| [24] |
马克, 王龙江, 庄端阳, 等. 大岗山水电站高拱坝蓄水初期工作性态演化研究[J]. 岩石力学与工程学报, 2019, 38(9):1776-1785.
(
|
| [25] |
|
| [26] |
|
| [27] |
|
| [28] |
Displacement is the most intuitive reflection of the comprehensive behavior of concrete dams, especially the time effect displacement, which is a key index for the evaluation of the structural behavior and health status of a dam in long-term service. The main purpose of this paper is to establish a state space model for separating causal components from the measured dam displacement. This approach is conducted by initially proposing two equations, which are the state and observation equations, and model parameters are then optimized by the Kalman filter algorithm. The state equation is derived according to the creep deformation of dam concrete and foundation rock and is used to preliminarily predict the dam time effect displacement. Considering the generally recognized three components of dam displacement, the hydraulic-seasonal-time (HST) model is used to establish the observation equation, which is used to update the time effect displacement. The efficiency and rationality of the established state space model is verified by an engineering example. The results show that the hydraulic component separated by the state space model only contains the instantaneous elastic hydraulic deformation, while the hysteretic elastic hydraulic deformation is divided into the time effect component. The inverted elastic modulus of dam body concrete is an instantaneous value for the state space model but a comprehensive reflection of the instantaneous and hysteretic elastic deformation ability for the HST model, where the hysteretic elastic deformation is a part of the hydraulic component. For the Xiaowan arch dam, the inverted values are 42.9 and 36.7 GPa for the state space model and HST model, respectively. The proposed state space model is useful to improve the interpretation ability of the separated displacement components of concrete dams.
|
| [29] |
杨光. 基于分数阶理论的高拱坝变形性态分析方法[D]. 南京: 河海大学, 2019.
(
|
| [30] |
|
| [31] |
|
| [32] |
蒋佳彤, 李明伟, 尚宪朝, 等. 基于卷积循环神经网络的混凝土坝变形预报[J]. 哈尔滨工程大学学报, 2023, 44(8): 1270-1274.
(
|
| [33] |
祁英弟, 靳春玲, 贡力. 基于GSA-PP模型的寒区引水隧洞结构健康状态评价[J]. 铁道科学与工程学报, 2019, 16(12):3078-3085.
(
|
| [34] |
IDA EVANGELINE S,
|
| [35] |
|
| [36] |
魏博文, 罗绍杨, 徐富刚, 等. 基于监测时序分解再重构的混凝土拱坝位移预测组合模型[J]. 工程科学与技术, 2022, 54(5): 51-63.
(
|
| [37] |
|
| [38] |
|
| [39] |
|
| [40] |
|
| [41] |
杨光, 孙锦, 赵阿辉, 等. 考虑个体差异效应的高拱坝测点群变形监控[J]. 振动测试与诊断, 2023, 43(6): 1144-1151, 1245.
(
|
| [42] |
|
| [43] |
|
| [44] |
邵晨飞, 许焱鑫, 田始光, 等. 太阳辐射影响下特高拱坝温度场及变形性态研究[J]. 华中科技大学学报(自然科学版), 2023, 51(10):142-148.
(
|
| [45] |
袁冬阳, 顾冲时, 顾昊. 严寒地区混凝土重力坝变形行为分析与预测模型[J]. 水利学报, 2022, 53(6):733-746.
(
|
| [46] |
钟大宁, 刘耀儒, 杨强, 等. 白鹤滩拱坝谷幅变形预测及不同计算方法变形机制研究[J]. 岩土工程学报, 2019, 41(8): 1455-1463.
(
|
| [47] |
顾冲时, 苏怀智, 刘何稚. 大坝服役风险分析与管理研究述评[J]. 水利学报, 2018, 49(1): 26-35.
(
|
| [48] |
赵二峰, 顾冲时. 混凝土坝长效服役性态健康诊断研究述评[J]. 水力发电学报, 2021, 40(5):22-34.
(
|
| [49] |
|
| [50] |
|
| [51] |
魏博文, 袁冬阳, 李火坤, 等. 基于参数区间反演修正混合模型的混凝土坝位移监控指标确定方法[J]. 岩石力学与工程学报, 2018, 37(增刊2): 4151-4160.
(
|
| [52] |
|
| [53] |
It is significant to adopt scientific temperature control criteria for high concrete dams in the construction period according to practical experience and theoretical calculation. This work synthetically uses information entropy and a cloud model and develops novel in situ observation data-based temperature control indexes from the view of a spatial field. The order degree and the disorder degree of observation values are defined according to the probability principle. Information entropy and weight parameters are combined to describe the distribution characteristics of the temperature field. Weight parameters are optimized via projection pursuit analysis (PPA), and then temperature field entropy (TFE) is constructed. Based on the above work, multi-level temperature control indexes are set up via a cloud model. Finally, a case study is conducted to verify the performance of the proposed method. According to the calculation results, the change law of TFEs agrees with actual situations, indicating that the established TFE is reasonable, the application conditions of the cloud model are wider than those of the typical small probability method, and the determined temperature control indexes improve the safety management level of high concrete dams. Research results offer scientific reference and technical support for temperature control standards adopted at other similar projects.
|
| [54] |
何金平, 高全. 一种适应大坝健康诊断的改进云合并算法[J]. 武汉大学学报(信息科学版), 2018, 43(7): 1022-1029.
(
|
| [55] |
顾昊, 朱延涛, 顾冲时, 等. 混凝土坝健康状态态势诊断方法[J]. 水利学报, 2020, 51(8): 957-966.
(
|
| [56] |
|
| [57] |
程恒, 张国新, 廖建新, 等. 高拱坝谷幅变形特征及影响因素分析[J]. 水利水电技术, 2020(5):65-70.
(
|
| [58] |
王昀, 杨强, 张曼, 等. 溪洛渡拱坝蓄水期谷幅变形驱动机制研究[J]. 岩石力学与工程学报, 2023, 42(5): 1083-1095.
(
|
| [59] |
何柱, 刘耀儒, 杨强, 等. 溪洛渡拱坝谷幅变形机制及变形反演和长期稳定性分析[J]. 岩石力学与工程学报, 2018, 37(增刊2):4198-4206.
(
|
| [60] |
This study verifies the practicality of using finite element analysis for strain and deformation analysis in regions with sparse GNSS stations. A digital 3D terrain model is constructed using DEM data, and regional rock mass properties are integrated to simulate geological structures, resulting in the development of a 3D geological finite element model (FEM) using the ANSYS Workbench module. Gravity load and thermal constraints are applied to derive directional strain and deformation solutions, and the model results are compared to actual strain and tilt measurements from the Jiujiang Seismic Station (JSS). The results show that temperature variations significantly affect strain and deformation, particularly due to the elevation difference between the mountain base and summit. Higher temperatures increase thermal strain, causing tensile effects, while lower temperatures reduce thermal strain, leading to compressive effects. Strain and deformation patterns are strongly influenced by geological structures, gravity, and topography, with valleys experiencing tensile strain and ridges undergoing compression. The deformation trend indicates a southwestward movement across the study area. A comparison of FEM results with ten years of strain and tiltmeter data from JSS reveals a strong correlation between the model predictions and actual measurements, with correlation coefficients of 0.6 and 0.75 for strain in the NS and EW directions, and 0.8 and 0.9 for deformation in the NS and EW directions, respectively. These findings confirm that the 3D geological FEM is applicable for regional strain and deformation analysis, providing a feasible alternative in areas with limited GNSS monitoring. This method provides valuable insights into crustal deformation in regions with sparse strain and deformation measurement data.
|
| [61] |
徐磊, 张菁倪, 崔姗姗, 等. 蓄水初期库盘非稳定渗流场时空演化与谷幅变形规律分析[J]. 应用基础与工程科学学报, 2022, 30(6): 1441-1454.
(
|
| [62] |
庄超, 周志芳, 李鸣威, 等. 基于承压含水层水力响应的溪洛渡水电工程区谷幅收缩变形预测研究[J]. 岩土工程学报, 2019, 41(8): 1472-1480.
(
|
| [63] |
程立, 刘耀儒, 潘元炜, 等. 锦屏一级拱坝左岸边坡长期变形对坝体影响研究[J]. 岩石力学与工程学报, 2016, 35(增刊2): 4040-4052.
(
|
| [64] |
|
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