<th id="5nh9l"></th><strike id="5nh9l"></strike><th id="5nh9l"><noframes id="5nh9l"><th id="5nh9l"></th><strike id="5nh9l"></strike>
<progress id="5nh9l"><noframes id="5nh9l"><th id="5nh9l"><noframes id="5nh9l">
<th id="5nh9l"></th> <strike id="5nh9l"><noframes id="5nh9l"><span id="5nh9l"></span>
<progress id="5nh9l"><noframes id="5nh9l"><span id="5nh9l"><noframes id="5nh9l"><span id="5nh9l"></span><strike id="5nh9l"><noframes id="5nh9l"><strike id="5nh9l"></strike>
<span id="5nh9l"><noframes id="5nh9l">
<span id="5nh9l"><noframes id="5nh9l">
<span id="5nh9l"></span><span id="5nh9l"><video id="5nh9l"></video></span>
<th id="5nh9l"><noframes id="5nh9l"><th id="5nh9l"></th>
<progress id="5nh9l"><noframes id="5nh9l">
Volume 44 Issue 3
Jan.  2022
Turn off MathJax
Article Contents
JIANG Zhen-xiang, CHEN Hui, CHEN Bai-quan. Evaluation model of overall dam behavior based on cloud theory[J]. Chinese Journal of Engineering, 2022, 44(3): 464-473. doi: 10.13374/j.issn2095-9389.2020.10.15.001
Citation: JIANG Zhen-xiang, CHEN Hui, CHEN Bai-quan. Evaluation model of overall dam behavior based on cloud theory[J]. Chinese Journal of Engineering, 2022, 44(3): 464-473. doi: 10.13374/j.issn2095-9389.2020.10.15.001

Evaluation model of overall dam behavior based on cloud theory

doi: 10.13374/j.issn2095-9389.2020.10.15.001
More Information
  • Corresponding author: E-mail: jiangzhenxiang89@163.com
  • Received Date: 2020-10-15
    Available Online: 2020-12-11
  • Publish Date: 2022-01-08
  • A dam is an important piece of infrastructure for ensuring economic and social development. During operation, because of environmental changes, aging materials, and other factors, a dam may develop accident risks and once it fails, it poses a great threat to society. Therefore, it is of great significance to use reasonable methods for analyzing the monitoring data collected by a dam safety monitoring system and evaluate a dam’s behavior to ensure operation safety. At present, the existing methods are mainly devoted to evaluating the local state of a dam according to the monitoring information of a single measuring point. Relatively few studies are available on the evaluation methods for the overall state of a dam, and the existing methods are mainly qualitative and subjective. To address this problem, the residual between the model calculated value and the measured value was taken as the research basis. The concept of the fusion residual, an important index for characterizing the overall behavior of a dam, was promoted. Combined with the information entropy theory, the variation of residuals at different measuring points was studied, and the fusion weight of residuals at each measuring point was analyzed. The fusion residual was calculated. Based on the distribution analysis of the fusion residual, a concept cloud representing the different states of a dam, namely, the evaluation criteria, was established using a reverse cloud generator and a forward cloud generator. On this basis, an evaluation model of the overall behavior of a dam was established and combined with the cloud similarity algorithm. The example shows that the evaluation method can effectively identify the abnormal value of a dam and evaluate its overall behavior. The evaluation results are reasonable and reliable. The model can evaluate the overall behavior of a dam quantitatively and objectively, and the evaluation results are reasonable and reliable, providing an important reference for the safe operation of a dam.

     

  • loading
  • [1]
    朱伯芳. 中國是世界拱壩大國也是世界拱壩強國——在《特高拱壩建設總結及安全運行管理研究》會議上的發言. 水利水電技術, 2017, 48(2):1

    Zhu B F. China is the largest and strongest country of concrete arch dams in the world. Water Resour Hydropower Eng, 2017, 48(2): 1
    [2]
    顧沖時, 蘇懷智, 王少偉. 高混凝土壩長期變形特性計算模型及監控方法研究進展. 水力發電學報, 2016, 35(5):1 doi: 10.11660/slfdxb.20160501

    Gu C S, Su H Z, Wang S W. Advances in calculation models and monitoring methods for long-term deformation behavior of concrete dams. J Hydroelectr Eng, 2016, 35(5): 1 doi: 10.11660/slfdxb.20160501
    [3]
    李明超, 任秋兵, 孔銳, 等. 多維復雜關聯因素下的大壩變形動態建模與預測分析. 水利學報, 2019, 50(6):687

    Li M C, Ren Q B, Kong R, et al. Dynamic modeling and prediction analysis of dam deformation under multidimensional complex relevance. J Hydraul Eng, 2019, 50(6): 687
    [4]
    董丹丹, 祖安君, 孫雪蓮. 基于GACO-BP-MC的大壩變形監控模型. 長江科學院院報, 2019, 36(7):48 doi: 10.11988/ckyyb.20171438

    Dong D D, Zu A J, Sun X L. Model of dam deformation monitoring based on genetic ant colony optimization and back propagation improved by Markov chain. J Yangtze River Sci Res Inst, 2019, 36(7): 48 doi: 10.11988/ckyyb.20171438
    [5]
    Wei B W, Peng S J, Xu Z K, et al. The GA-BP prediction model considering chaos effect of dam displacement residual. Sci Sin Technol, 2015, 45(5): 541 doi: 10.1360/N092014-00181
    [6]
    胡德秀, 屈旭東, 楊杰, 等. 基于M-ELM的大壩變形安全監控模型. 水利水電科技進展, 2019, 39(3):75 doi: 10.3880/j.issn.1006-7647.2019.03.013

    Hu D X, Qu X D, Yang J, et al. A safety monitoring model of dam deformation based on M-ELM. Adv Sci Technol Water Resour, 2019, 39(3): 75 doi: 10.3880/j.issn.1006-7647.2019.03.013
    [7]
    Dai B, Gu C S, Zhao E F, et al. Statistical model optimized random forest regression model for concrete dam deformation monitoring. Struct Control Health Monitor, 2018, 25(6): e2170 doi: 10.1002/stc.2170
    [8]
    Kang F, Liu J, Li J J, et al. Concrete dam deformation prediction model for health monitoring based on extreme learning machine. Struct Control Health Monitor, 2017, 24(10): e1997 doi: 10.1002/stc.1997
    [9]
    Gamse S, Oberguggenberger M. Assessment of long-term coordinate time series using hydrostatic-season-time model for rock-fill embankment dam. Struct Control Health Monitor, 2017, 24(1): e1859 doi: 10.1002/stc.1859
    [10]
    Gamse S, Henriques M J, Oberguggenberger M, et al. Analysis of periodicities in long-term displacement time series in concrete dams. Struct Control Health Monitor, 2020, 27(3): e2477
    [11]
    Liu X, Wu Z R, Yang Y, et al. Information fusion diagnosis and early-warning method for monitoring the long-term service safety of high dams. J Zhejiang Univ Sci A Appl Phys Eng, 2012, 13(9): 687 doi: 10.1631/jzus.A1200122
    [12]
    何金平, 馬傳彬, 施玉群. 高拱壩多效應量改進型D-S證據理論融合模型. 武漢大學學報(信息科學版), 2012, 37(12):1397

    He J P, Ma C B, Shi Y Q. Multi-effect-quantity fusion model of high arch dam based on improved D-S evidence theory. Geomat Inf Sci Wuhan Univ, 2012, 37(12): 1397
    [13]
    Su H Z, Wen Z P, Sun X R, et al. Multisource information fusion-based approach diagnosing structural behavior of dam engineering. Struct Control Health Monitor, 2018, 25(2): e2073 doi: 10.1002/stc.2073
    [14]
    Yu H, Wu Z R, Bao T F, et al. Multivariate analysis in dam monitoring data with PCA. Sci China Technol Sci, 2010, 53(4): 1088 doi: 10.1007/s11431-010-0060-1
    [15]
    何金平. 大壩安全監測理論與應用. 北京: 中國水利水電出版社, 2010

    He J P. Theory and Application of Dam Safety Monitoring. Beijing: China Water & Power Press, 2010
    [16]
    H?rdle W K, Simar L. Applied Multivariate Statistical Analysis. Upper Saddle River: Springer-Verlag Berlin Heidelberg, 2015
    [17]
    孫文舟, 殷曉冬, 李樹軍. 基于熵權重的水下載體導航信息融合方法. 武漢大學學報(信息科學版), 2018, 43(10):1465

    Sun W Z, Yin X D, Li S J. A new navigation data fusion method based on entropy coefficient algorithm for underwater vehicles. Geomat Inf Sci Wuhan Univ, 2018, 43(10): 1465
    [18]
    劉華新, 苑一鳴, 周沛, 等. 基于融合理論的風電機組狀態評價正態云模型. 太陽能學報, 2018, 39(10):2891

    Liu H X, Yuan Y M, Zhou P, et al. Normal cloud model for condition evaluation of wind turbines based on fusion theory. Acta Energ Sol Sin, 2018, 39(10): 2891
    [19]
    杜江, 孫銘陽. 基于變權灰云模型的變壓器狀態層次評估方法. 電工技術學報, 2020, 35(20):4306

    Du J, Sun M Y. Hierarchical assessment method of transformer condition based on weight-varying grey cloud model. Trans China Electrotech Soc, 2020, 35(20): 4306
    [20]
    張滿銀, 王生新, 孫志忠, 等. 基于云理論的油氣管道滑坡危險性綜合評價. 工程科學學報, 2018, 40(4):427

    Zhang M Y, Wang S X, Sun Z Z, et al. Comprehensive evaluation of landslide risks of oil and gas pipelines based on cloud theory. Chin J Eng, 2018, 40(4): 427
    [21]
    李林波, 郭曉凡, 傅佳楠, 等. 基于云模型的城市軌道交通乘客滿意度評價. 同濟大學學報(自然科學版), 2019, 47(3):378

    Li L B, Guo X F, Fu J N, et al. Evaluation approach of passenger satisfaction for urban rail transit based on cloud model. J Tongji Univ Nat Sci, 2019, 47(3): 378
    [22]
    李莎莎, 崔鐵軍, 馬云東, 等. 基于包絡線的云相似度及其在安全評價中的應用. 安全與環境學報, 2017, 17(4):1267

    Li S S, Cui T J, Ma Y D, et al. Cloud similarity based on the envelope and its application to the safety assessment. J Saf Environ, 2017, 17(4): 1267
    [23]
    汪軍, 朱建軍, 劉小弟. 兼顧形狀-距離的正態云模型綜合相似度測算. 系統工程理論與實踐, 2017, 37(3):742 doi: 10.12011/1000-6788(2017)03-0742-10

    Wang J, Zhu J J, Liu X D. An integrated similarity measure method for normal cloud model based on shape and distance. System Eng Theory Pract, 2017, 37(3): 742 doi: 10.12011/1000-6788(2017)03-0742-10
    [24]
    李海林, 郭崇慧, 邱望仁. 正態云模型相似度計算方法. 電子學報, 2011, 39(11):2561

    Li H L, Guo C H, Qiu W R. Similarity measurement between normal cloud models. Acta Electron Sin, 2011, 39(11): 2561
    [25]
    Kao C Y, Loh C H. Monitoring of long-term static deformation data of Fei-Tsui arch dam using artificial neural network-based approaches. Struct Control Health Monitor, 2013, 20(3): 282 doi: 10.1002/stc.492
    [26]
    李天倫, 何安瑞, 邵健, 等. 基于Copula函數的熱軋支持輥健康狀態預測模型. 工程科學學報, 2020, 42(6):787

    Li T L, He A N, Shao J, et al. Copula-based model for hot-rolling back-up roll health prediction. Chin J Eng, 2020, 42(6): 787
    [27]
    傅立偉, 武森. 基于屬性值集中度的分類數據聚類有效性內部評價指標. 工程科學學報, 2019, 41(5):682

    Fu L W, Wu S. A new internal clustering validation index for categorical data based on concentration of attribute values. Chin J Eng, 2019, 41(5): 682
    [28]
    徐波, 李占超, 黃志洪, 等. 混凝土壩裂縫轉異診斷的云模型法. 中國科學(技術科學), 2015, 45(11):1218 doi: 10.1360/N092014-00195

    Xu B, Li Z C, Huang Z H, et al. Cloud model diagnosis method of concrete dam crack behavior abnormality. Sci Sin Technol, 2015, 45(11): 1218 doi: 10.1360/N092014-00195
  • 加載中

Catalog

    通訊作者: 陳斌, bchen63@163.com
    • 1. 

      沈陽化工大學材料科學與工程學院 沈陽 110142

    1. 本站搜索
    2. 百度學術搜索
    3. 萬方數據庫搜索
    4. CNKI搜索

    Figures(7)  / Tables(7)

    Article views (1115) PDF downloads(55) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return
    <th id="5nh9l"></th><strike id="5nh9l"></strike><th id="5nh9l"><noframes id="5nh9l"><th id="5nh9l"></th><strike id="5nh9l"></strike>
    <progress id="5nh9l"><noframes id="5nh9l"><th id="5nh9l"><noframes id="5nh9l">
    <th id="5nh9l"></th> <strike id="5nh9l"><noframes id="5nh9l"><span id="5nh9l"></span>
    <progress id="5nh9l"><noframes id="5nh9l"><span id="5nh9l"><noframes id="5nh9l"><span id="5nh9l"></span><strike id="5nh9l"><noframes id="5nh9l"><strike id="5nh9l"></strike>
    <span id="5nh9l"><noframes id="5nh9l">
    <span id="5nh9l"><noframes id="5nh9l">
    <span id="5nh9l"></span><span id="5nh9l"><video id="5nh9l"></video></span>
    <th id="5nh9l"><noframes id="5nh9l"><th id="5nh9l"></th>
    <progress id="5nh9l"><noframes id="5nh9l">
    259luxu-164