2277con太阳能集团-中国有限分公司水工程安全智能诊断科研团队在特高拱坝安全监控研究方面取得新进展

来源:水电院发布时间:2024-05-24

近30年来,随着2277con太阳能集团国西部大开发战略和西电东送战略的实施,二滩、拉西瓦、构皮滩、小湾、溪洛渡、锦屏一级、大岗山、白鹤滩、乌东德等多座超过200m甚至达到300m级的特高拱坝的成功建成,标志着2277con太阳能集团国特高拱坝建设水平已居世界领先地位。这些工程在国家能源供应安全保障中占有重要地位,发挥了巨大的社会经济效益。但由于工程坝址地质条件极其复杂,工程安全常受到高水推力、高边坡、高地应力等特殊环境的制约,其设计、施工及安全监控等技术指标已经突破了现行规范的适用范围和标准,给工程建设和运行等带来了诸多难题。

图 1 2277con太阳能集团国特高拱坝建设发展历程

近年来,2277con太阳能集团水工程安全智能诊断科研团队围绕特高拱坝安全监控,开展了特高拱坝运行性态时空分析方法研究,建立了特高拱坝运行性态安全监控模型,拟定了特高拱坝运行性态预警阈值。取得的一系列创新性研究成果为掌握特高拱坝工作性态、保障工程效益充分发挥提供了强有力的技术支持。

图2 小湾特高拱坝利用拱梁分载法、数值模拟、模型试验和原型监测获得的拱冠梁变形

图3 2277con太阳能集团国典型特高拱坝变形挠曲线分布

图4 锦屏一级特高拱坝变形聚类分区和时空面板模型分量分布

图5 典型特高拱坝运行性态时空预警椭圆控制限

最新研究成果发表在Engineering Structures、Structural Control and Health Monitoring、Construction and Building Materials、Engineering Failure Analysis、Structures、Water Science and Engineering等期刊上,出版了《特高拱坝变形安全监控理论和方法及其应用》、《特高拱坝安全监控分析》、《混凝土坝运行性态诊断与控制》等专著。

相关论文信息:

[1]Erfeng, Z., Chengqing, W, Shaowei, W., et al. Seepage dissolution effect prediction on aging deformation of concrete dams by coupled chemo-mechanical model. Construction and Building Materials, 2020. Doi:10.1016/j.conbuildmat.2019.117603

[2]Erfeng, Z., Chengqing, W. Unified egg ellipse critical threshold estimation for the deformation behavior of ultrahigh arch dams. Engineering Structures, 2020.  Doi: 10.1016/j.engstruct.2020.110598

[3]Erfeng, Z., Chengqing, W. Centroid deformation-based nonlinear safety monitoring model for arch dam performance evaluation. Engineering Structures, 2021. Doi: 10.1016/j.engstruct.2021.112652

[4]Erfeng, Z., Chengqing, W. Long-term safety assessment of large-scale arch dam based on non-probabilistic reliability analysis. Structures, 2021. Doi: 10.1016/j.istruc.2021.03.012

[5]Erfeng, Z., Chengqing, W. Risk probabilistic assessment of ultrahigh arch dams through regression panel modeling on deformation behavior. Structural Control and Health Monitoring, 2021. Doi: 10.1002/stc.2716

[6]Erfeng, Z., Bo, L., Hao, C., et al. Deformation critical threshold estimation of Xiaowan ultrahigh arch dam with time-varying grey model. Water Science and Engineering, 2023. Doi: 10.1016/j.wse.2023.07.001

[7]Erfeng, Z., Yi, L., Jingmei, Z., et a;. Interval prediction model of deformation behavior for dam safety during long term operation using Bootstrap-GBDT. Structural Control and Health Monitoring, 2023. Doi: 10.1155/2023/6929861

[8]Chenfei, S., Erfeng, Z., Yanxin, X., et al. Genesis analysis of special deformation characteristics for super-high arch dams in the alpine and gorge regions of southwest China. Mathematics, 2023. Doi: 10.3390/math11071753

[9]Erfeng, Z., Xin, L., Chongshi, G. Health diagnosis of ultrahigh arch dam performance using heterogeneous spatial panel vector model, 2024. Doi: 10.1016/j.wse.2024.02.003

[10]Yi, L., Erfeng, Z., Jingmei, Z.. Hybrid reliability evaluation of arch dam during long-term service with multi-dimensional parallelepiped convex model. Engineering Failure Analysis, 2024. Doi: 10.1016/j.engfailanal.2023.107937


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