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International Conference on Inforatmion technology in Geo-Engineering

ICITG 2019: Information Technology in Geo-Engineering pp 96–105Cite as

Failure Forecast Warning Research and In-Situ Online Monitoring of Tailings Dam Engineering

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Part of the book series: Springer Series in Geomechanics and Geoengineering ((SSGG))

Abstract

Based on the theoretical research results about the instability mechanism and online monitoring in more than ten years, as well as the problems about tailings dam instability, in-situ online monitoring and the failure forecast warning are researched deeply and systematically. In order to reveal the particularity of tailings dam structure, the complexity of deformation and the risks of dam failure, the failure mechanism of tailings dam is researched, the in-situ online monitoring systems are used on some tailings dams. The forecast warning method and risk control measures of tailings dam are presented to give the supports of theory and technology for the safety and failure prevention. A management process which is scientific, informatization, real-time, intelligent, networking and digitizing is realized. This makes a fully progress of mine safety production, scientific management, value-added efficiency, scientific innovation and technology progress.

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Acknowledgements

This paper is supported by the National Natural Science Foundation of China that the Stability Study of Tailings Dam Based on the Mechanism of Seepage Mechanics of Water Medium (No. 51674150).

Author information

Authors and Affiliations

  1. School of Civil Engineering, Qingdao University of Technology, Qingdao, 266033, China

    Guangming Yu & Xiankun Zeng

  2. Cooperative Innovation Center of Engineering Construction and Safety in Shandong Blue Economic Zone, Qingdao University of Technology, Qingdao, 266033, China

    Guangming Yu & Xiankun Zeng

  3. Department of Informatics, Clausthal University of Technology, 38678, Clausthal-Zellerfeld, Germany

    Daning Wang

  4. Qingdao Hi-Tech Construction Engineering Consulting Co., Ltd., Qingdao, 266033, China

    Xiankun Zeng

  5. Institute of Earthquake Prediction Theory and Mathematical Geophysics, Russian Academy of Sciences, Moscow, 117997, Russia

    Mikhail D. Kovalenko, Irina V. Menshova & Alexander P. Kerzhaev

  6. Institute of Applied Mechanics, Russian Academy of Sciences, Moscow, 125049, Russia

    Mikhail D. Kovalenko

  7. Bauman Moscow State Technical University, Moscow, 105005, Russia

    Irina V. Menshova

  8. Zhaojin Mining Industry Co., Ltd., Zhaoyuan, 265414, China

    Chunguang Wang, Yuezeng Yang & Chunsheng Wang

Authors
  1. Guangming Yu
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  2. Daning Wang
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  3. Xiankun Zeng
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  4. Mikhail D. Kovalenko
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  5. Irina V. Menshova
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  6. Alexander P. Kerzhaev
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  7. Chunguang Wang
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  8. Yuezeng Yang
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  9. Chunsheng Wang
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Corresponding author

Correspondence to Guangming Yu .

Editor information

Editors and Affiliations

  1. School of Engineering, ISISE, University of Minho, Guimarães, Portugal

    António Gomes Correia

  2. School of Engineering, ISISE, University of Minho, Guimarães, Portugal

    Joaquim Tinoco

  3. School of Engineering, ALGORITMI, University of Minho, Guimarães, Portugal

    Paulo Cortez

  4. Laboratório Nacional de Engenharia Civil, Lisboa, Portugal

    Luís Lamas

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Cite this paper

Yu, G. et al. (2020). Failure Forecast Warning Research and In-Situ Online Monitoring of Tailings Dam Engineering. In: Correia, A., Tinoco, J., Cortez, P., Lamas, L. (eds) Information Technology in Geo-Engineering. ICITG 2019. Springer Series in Geomechanics and Geoengineering. Springer, Cham. https://doi.org/10.1007/978-3-030-32029-4_8

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  • DOI: https://doi.org/10.1007/978-3-030-32029-4_8

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-32028-7

  • Online ISBN: 978-3-030-32029-4

  • eBook Packages: EngineeringEngineering (R0)

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