›› 2018, Vol. 39 ›› Issue (7): 2509-2517.doi: 10.16285/j.rsm.2018.0117

• 基础理论与实验研究 • 上一篇    下一篇

基于多元监测信息融合分析的突水灾害状态判识方法

成 帅,李术才,李利平,石少帅,周宗青,袁永才   

  1. 山东大学 岩土与结构工程研究中心,山东 济南 250061
  • 收稿日期:2018-01-19 出版日期:2018-07-10 发布日期:2018-08-05
  • 通讯作者: 李利平,男,1981年生,博士,教授,博士生导师,主要从事隧道及地下工程突涌水灾变机制的理论及试验研究。E-mail: yuliyangfan@163.com E-mail:chengshuaiee@163.com
  • 作者简介:成帅,男,1991年生,博士研究生,主要从事隧道及地下工程突涌水灾变监测预警方面的研究。
  • 基金资助:

    国家重点研发计划(No. 2016YFC0801607,No. 2016YFC0801604);国家自然科学基金(No. 51679131,No. 51709159);山东大学基本科研业务费专项资金资助(No. 2015GN029,No. 2016GN026)。

Identification method of water inrush status based on multiple monitoring information fusion analysis

CHENG Shuai, LI Shu-cai, LI Li-ping, SHI Shao-shuai, ZHOU Zong-qing, YUAN Yong-cai   

  1. Geotechnical and Structural Engineering Research Center, Shandong University, Jinan, Shandong 250061, China
  • Received:2018-01-19 Online:2018-07-10 Published:2018-08-05
  • Supported by:

    This work was supported by the National Key Research and Development Program of China (2016YFC0801607, 2016YFC0801604), the National Natural Science Foundation of China (51679131, 51709159) and the Fundamental Research Funds of Shandong University (2015GN029, 2016GN026).

摘要: 突水灾变演化过程中伴随着防突结构内的岩土体的信息变化,通过对潜在突水通道围岩多物理场信息进行深度融合分析,揭示了多元信息的逻辑共生关系,建立了突水演化状态判识的理论方法。从岩体渐进破坏突水与充填结构失稳突水两种典型的突水相似模型试验入手,建立了多元监测信息与量化表征函数的关联性。基于主成分分析理论揭示了多参量间的逻辑共生关系,确定了围岩多物理场信息对突水灾害的影响权重,这为突水灾害监测设计与预警提供了理论依据。结合函数拟合曲线中表征函数变化趋势发生转变的极值点与驻点,建立了突水灾害演化状态综合判识方法,最终将两种突水类型的演化阶段划分为:平静期、发展期、突变期和灾后期,并提出了任意时刻下突水灾害发生概率的能量判别方法,该理论方法为隧道及地下工程突水灾害监测预警提供了参考。

关键词: 突水, 多元信息, 状态判识, 主成分分析

Abstract: The process of water inrush disaster accompanied by the information change of rock and soil within the preventing structure changed accordingly. This study conducted an in-depth fusion analysis of multi-physical field information for potential water inrush channels. The logical symbiosis relationship of multi-information was revealed, and a theoretical method for identifying the evolution state of water inrush was established. Two typical similarity model tests of water inrush were conducted to simulate the progressive failure of rock mass and filling structure instability. Then, we proposed the correlation between the multiple monitoring information and the quantitative characterisation function. Based on the theory of principal component analysis, this study revealed the logical symbiosis relationship between multiple parameters and determined the influence weight of the multi-physical field information in the surrounding rock, which provided a theoretical basis for the monitoring design and early warning of water inrush disaster. A comprehensive method for the evolution state of water inrush disaster was established, combined with the extreme point and the stagnation point of the fitting curve representing the changing trend of the function, Finally, the evolution stages of these two types of water inrush are divided into four periods: calming period, development period, abrupt period and post-disaster period. The energy discrimination method of the occurrence probability of water inrush was put forward at any moment. The theoretical method provides a reference for monitoring and early warning of water inrush disaster in tunnels and underground engineering.

Key words: water inrush, multiple information, status identification, principal component analysis

中图分类号: 

  • U 45

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