Source Journal of Chinese Scientific and Technical Papers
Included as T2 Level in the High-Quality Science and Technology Journals in the Field of Architectural Science
Core Journal of RCCSE
Included in the CAS Content Collection
Included in the JST China
Indexed in World Journal Clout Index (WJCI) Report
ZHOU Hongwen, DONG Wenjun, ZHOU Bentao. Research on Destructiveness of Dam Failure of Tailings Reservoirs Based on Two-Dimensional Cloud Model[J]. INDUSTRIAL CONSTRUCTION, 2022, 52(10): 229-235. doi: 10.13204/j.gyjzG22072610
Citation: ZHOU Hongwen, DONG Wenjun, ZHOU Bentao. Research on Destructiveness of Dam Failure of Tailings Reservoirs Based on Two-Dimensional Cloud Model[J]. INDUSTRIAL CONSTRUCTION, 2022, 52(10): 229-235. doi: 10.13204/j.gyjzG22072610

Research on Destructiveness of Dam Failure of Tailings Reservoirs Based on Two-Dimensional Cloud Model

doi: 10.13204/j.gyjzG22072610
  • Received Date: 2022-07-26
    Available Online: 2023-03-22
  • This study is designed to accurately assess the probability of impact damage to downstream structures caused by debris flows after the dam failure of tailings reservoirs and the severity of the damage. Specifically, an impact risk assessment system for bridge projects was constructed according to the characteristics of the dam failure disaster of tailings reservoirs, the rheological characteristics of the debris flow after dam failure, and simulation technology. On the basis of this system, the two-dimensional (2D) cloud model theory was employed to generate the probability cloud and the severity cloud. For this purpose, weights were obtained with information entropies. Then, the evaluation cloud map was generated by the backward cloud model, and the left and right half clouds were generated by the standard cloud model. Finally, the similarity between the evaluation cloud and the standard cloud was determined by cloud similarity, and the actual safety status of each tailings reservoir was obtained by investigating the weights. A bridge project under impact damage by the debris flow after dam failure was discussed as an example of empirical research. The results show that the proposed risk assessment index system is highly practical, and the improved 2D cloud model can correct the weakness of the traditional cloud model that it directly removes the data at the interval breakpoint and thereby enhance the accuracy of the evaluation results and the comprehensiveness of the risk assessment process.
  • [1]
    MASCARO I, BENVENUTI B, CORSINI F, et al. Mine wastes at the polymetallic deposit of Fenice Capanne (Southern Tuscany, Italy).Mineralogy, geochemistry, and environmental impact[J]. Environmental Geology, 2001, 41(3/4):417-429.
    [2]
    梅国栋.尾矿库溃坝灾害脆弱性评估指标体系及方法研究[J].中国安全生产科学技术,2012,8(12):11-15.
    [3]
    王仪心,米占宽.尾矿坝溃坝安全风险分析评价方法[J].金属矿山, 2019(6):184-188.
    [4]
    孙鸿昌,郝喆,杨青潮.精细地形下的尾矿坝稳定性及溃坝模拟分析[J].水文地质工程地质, 2022, 49(3):136-144.
    [5]
    辛保泉,万露,耿龙龙,等.尾矿库溃坝室外模型试验及灾害预测分析[J].中国安全生产科学技术,2018,14(5):102-108.
    [6]
    OWEN J R, KEMP D, LEBRE É, et al. Catastrophic tailings dam failures and disaster risk disclosure[J]. International journal of disaster risk reduction, 2020, 42. DOI:10.1016/j.ijdrr.2019. 101361.
    [7]
    DU Z, GE L, NG A H M, et al. Risk assessment for tailings dams in Brumadinho of Brazil using InSAR time series approach[J]. Science of the Total Environment, 2020, 717. DOI:10.1016/j.scitotenv.2020. 137125.
    [8]
    GE W, LI Z, LI W, et al. Risk evaluation of dam-break environmental impacts based on the set pair analysis and cloud model[J]. Natural Hazards, 2020, 104(2):1641-1653.
    [9]
    TONGLE X, YINGBO W, KANG C. Tailings saturation line prediction based on genetic algorithm and BP neural network[J]. Journal of Intelligent & Fuzzy Systems, 2016, 30(4):1947-1955.
    [10]
    FAN Q, TIAN Z, WANG W. Study on risk assessment and early warning of flood-affected areas when a dam break occurs in a mountain river[J]. Water, 2018, 10(10).DOI: 10.3390/w10101369.
    [11]
    戴剑勇,王雯雯,黄晓庆.基于网络云模型的尾矿库溃坝安全评估[J].安全与环境学报,2022,22(1):1-7.
    [12]
    徐镇凯,刘璇,魏博文,等.基于云模型的尾矿库溃坝风险模糊评价模型[J].南水北调与水利科技,2016,14(6):122-127.
    [13]
    姜洲,黄艳华,吴贤国,等.基于云模型和D-S证据理论的尾矿库失稳溃坝警情评价模型及应用[J].水电能源科学,2016,34(10):47-51.
    [14]
    冯春辉.基于属性拓扑的中医诊断数据因果关系推断方法研究[D].秦皇岛:燕山大学,2017.
    [15]
    陈忠源,戴自航.水库边坡稳定性评价的云模型[J].工程地质学报,2020,28(3):619-625.
    [16]
    代劲,胡彪,王国胤,等.分布轮廓与局部特征融合的云模型不确定性相似度量[J].电子与信息学报, 2022, 44(4):1429-1439.
    [17]
    莫俊文,滕仓国,李甲,等.基于熵权-二维云模型的高铁建设工程系统韧性评价[J].铁道科学与工程学报,2022,19(1):26-33.
  • Relative Articles

    [1]LI Bowen, GAO Cairu, LI Wang, WANG Wanqi, WANG Jun, PENG Cuncai, WU Hongyan, GAO Xiuhua, DU Linxiu. Effects of Final Cooling Temperature on Low-Temperature Impact Fracture Behavior of Q500 Weathering Bridge Steel[J]. INDUSTRIAL CONSTRUCTION, 2024, 54(12): 10-17. doi: 10.3724/j.gyjzG24013003
    [5]Jiang Youbao Luo Jun Liao Guoyu Zhang Jianren, . REFINED PROBABILISTIC MODEL OF RESISTANCE AND RELIABILITY ANALYSIS FOR PRESTRESSED CONCRETE BEAM[J]. INDUSTRIAL CONSTRUCTION, 2015, 45(10): 69-73. doi: 10.13204/j.gyjz201510013
    [6]Xiao Yan, Li Jia. THE STATE OF THE ART OF MODERN BAMBOO STRUCTURES[J]. INDUSTRIAL CONSTRUCTION, 2015, 45(4): 1-6. doi: 10.13204/j.gyjz201504001
    [7]Chen Shudong, Qian Chunyu, Li Qihua, Ding Tianting. RESEARCH ON 1 DIMENSION AND 2 DIMENSION CARBONATION OF FLY ASH CONCRETE UNDER LOADING[J]. INDUSTRIAL CONSTRUCTION, 2013, 43(5): 99-102,98. doi: 10.13204/j.gyjz201305021
    [8]Luo Changhai, Xin Hongbo, Wang Yafen. SEISMIC STABILITY ANALYSIS OF AOSHAN TAILINGS DAMS OF MA STEEL[J]. INDUSTRIAL CONSTRUCTION, 2013, 43(10): 78-82,86. doi: 10.13204/j.gyjz201310017
    [9]Wang Qing, Xu Gang, Wei Jun, Lui Defu. STUDY ON PROBABILITY DISTRIBUTION MODEL OF THE RATIO BETWEEN MAXIMUM PIT DEPTH AND AVERAGE CORROSION PENETRATION DEPTH FOR REINFORCEMENT BARS IN CONCRETE[J]. INDUSTRIAL CONSTRUCTION, 2011, 41(5): 39-42,133. doi: 10.13204/j.gyjz201105009
    [10]Yang Tianchun, Liao Jianping. HIGH-ORDER FINITE DIFFERENCE MODELING OF RAYLEIGH WAVE IN TWO-DIMENSIONAL ELASTIC MEDIA[J]. INDUSTRIAL CONSTRUCTION, 2011, 41(8): 59-63. doi: 10.13204/j.gyjz201108016
    [11]Liu Pengfei, Zhao Qilin, Jiang Kebin, Gao Hesheng. THEORETIC RESEARCH ON FRICTION LOSS OF PRE-STRESS IN LARGE-SPAN CONCRETE BRIDGE[J]. INDUSTRIAL CONSTRUCTION, 2011, 41(10): 64-67. doi: 10.13204/j.gyjz201110016
    [12]Chen Shudong, Sun Wei, Zhang Yunsheng, Guo Fei. RESEARCH ON 2-DIMENSION,3-DIMENSION CARBONATIONS AND SUPERPOSITION COEFFICIENT OF FLYASH CONCRETE[J]. INDUSTRIAL CONSTRUCTION, 2007, 37(2): 70-73,59. doi: 10.13204/j.gyjz200702017
    [13]Ding Bo-yang, Kong De-yu, Li Ton-kun. PROBABILISTICAL MODEL FOR CONCRETE CARBONIZATION IN ZHEJIANG AND NEIGHBOR REGION[J]. INDUSTRIAL CONSTRUCTION, 2006, 36(8): 42-44. doi: 10.13204/j.gyjz200608014
    [14]Guo Jiantong, Wang Hairu, Yuan Jiaqiang, Qiu Delong, Li Xiaoming. EXPERIMENTAL STUDY ON ANCHORING BEHAVIOR OF EXTERNALLY PRESTRESSED PARTIALLY BONDED SYSTEM[J]. INDUSTRIAL CONSTRUCTION, 2004, 34(8): 51-52,35. doi: 10.13204/j.gyjz200408017
  • Cited by

    Periodical cited type(2)

    1. 罗凯,王云辉,朱辽宇,槐维军,刘倩. 基于二维云模型的油气管道环焊缝失效风险评价方法. 世界石油工业. 2023(03): 75-81 .
    2. 崔素芳,张保祥,荣燕妮,姜欣,王振,刘振,付军. 基于云模型的山东省干旱时空分布特征. 南水北调与水利科技(中英文). 2023(04): 679-688 .

    Other cited types(0)

  • Created with Highcharts 5.0.7Amount of accessChart context menuAbstract Views, HTML Views, PDF Downloads StatisticsAbstract ViewsHTML ViewsPDF Downloads2024-062024-072024-082024-092024-102024-112024-122025-012025-022025-032025-032025-0402468
    Created with Highcharts 5.0.7Chart context menuAccess Class DistributionFULLTEXT: 19.4 %FULLTEXT: 19.4 %META: 80.6 %META: 80.6 %FULLTEXTMETA
    Created with Highcharts 5.0.7Chart context menuAccess Area Distribution其他: 10.8 %其他: 10.8 %[]: 1.1 %[]: 1.1 %北京: 1.1 %北京: 1.1 %宣城: 1.1 %宣城: 1.1 %常德: 2.2 %常德: 2.2 %广州: 1.1 %广州: 1.1 %张家口: 3.2 %张家口: 3.2 %扬州: 1.1 %扬州: 1.1 %晋城: 1.1 %晋城: 1.1 %杭州: 2.2 %杭州: 2.2 %温州: 1.1 %温州: 1.1 %漯河: 2.2 %漯河: 2.2 %芒廷维尤: 19.4 %芒廷维尤: 19.4 %芝加哥: 1.1 %芝加哥: 1.1 %西宁: 36.6 %西宁: 36.6 %贵阳: 1.1 %贵阳: 1.1 %运城: 7.5 %运城: 7.5 %邯郸: 1.1 %邯郸: 1.1 %郑州: 4.3 %郑州: 4.3 %长沙: 1.1 %长沙: 1.1 %其他[]北京宣城常德广州张家口扬州晋城杭州温州漯河芒廷维尤芝加哥西宁贵阳运城邯郸郑州长沙

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Article Metrics

    Article views (74) PDF downloads(0) Cited by(2)
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return