Search Results - "Zhuang, D.Y."

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  1. 1

    Stability analysis of underground oil storage caverns by an integrated numerical and microseismic monitoring approach by Ma, K., Tang, C.A., Wang, L.X., Tang, D.H., Zhuang, D.Y., Zhang, Q.B., Zhao, J.

    “…Underground storage in unlined caverns is of great significance for storing energy resources. Construction of underground storage caverns is an extremely…”
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    Journal Article
  2. 2

    Effects of excavation unloading on the energy-release patterns and stability of underground water-sealed oil storage caverns by Zhuang, D.Y., Tang, C.A., Liang, Z.Z., Ma, K., Wang, S.Y., Liang, J.Z.

    “…Large-scale underground water-sealed oil storage caverns have become an important method for storing strategic crude oil reserves worldwide. Previous studies…”
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    Journal Article
  3. 3

    Stability analysis and reinforcement evaluation of high-steep rock slope by microseismic monitoring by Ma, K., Tang, C.A., Liang, Z.Z., Zhuang, D.Y., Zhang, Q.B.

    Published in Engineering geology (23-02-2017)
    “…The stability of excavated high-steep rock slopes is most significant in the long-term safety of large-scale hydropower projects. Dagangshan rock slope had an…”
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    Journal Article
  4. 4

    Evolution of debris flow activities in the epicentral area, 10 years after the 2008 Wenchuan earthquake by Zhang, S., Peng, J.Y., Zhang, M.P., Chen, Y.B., Han, Y.Y., Su, C.X., Zhuang, D.Y.

    Published in Engineering geology (20-06-2023)
    “…The occurrence of debris flows after the earthquake not only damaged infrastructure but also caused large numbers of casualties. Analyzing the evolution of…”
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    Journal Article
  5. 5

    Distance effects of the fault on the surrounding rock mass stability of the main powerhouse at the Huanggou pumped-storage power station by Ma, K., Feng, B., Zhuang, D.Y., Guo, X.F., Gao, Q.

    “…•An 18-channel microseismic monitoring system is operated in real time in the caverns.•Excavation-induced stress concentration causes lots of tensile events…”
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  6. 6

    Mechanical parameter inversion in tunnel engineering using support vector regression optimized by multi-strategy artificial fish swarm algorithm by Zhuang, D.Y., Ma, K., Tang, C.A., Liang, Z.Z., Wang, K.K., Wang, Z.W.

    “…Fast and efficient determination of the mechanical parameters of surrounding rock masses is vitally important to the calculation and evaluation of the…”
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    Journal Article