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Volume 40 Issue 6
Nov.  2021
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Article Navigation >  Bulletin of Geological Science and Technology  > 2021  >  40(6): 226-235
Peng Shuangqi, Ke Ling, Zheng Ti, Xu Jizhong. Particle distribution characteristics of rock avalanche and the interaction between rock avalanche and houses based on image recognition[J]. Bulletin of Geological Science and Technology, 2021, 40(6): 226-235. doi: 10.19509/j.cnki.dzkq.2021.0622
Citation: Peng Shuangqi, Ke Ling, Zheng Ti, Xu Jizhong. Particle distribution characteristics of rock avalanche and the interaction between rock avalanche and houses based on image recognition[J]. Bulletin of Geological Science and Technology, 2021, 40(6): 226-235. doi: 10.19509/j.cnki.dzkq.2021.0622
shu

Particle distribution characteristics of rock avalanche and the interaction between rock avalanche and houses based on image recognition

doi: 10.19509/j.cnki.dzkq.2021.0622
  • Received Date: 20 Jan 2021
    Abstract
  • Due to the high concealment, short-lived time and low predictability of the rock avalanche, it is difficult to visually observe the process of it. In order to study the dynamic characteristics and the catastrophicto houses of rock avalanche, this paper analyzes the rock avalanche congeries and its particle size distribution.Taking the rock avalanche in Pusa Village as an example, this paper uses the PCAS system to identify congeries particles by image.And through the dimensional analysis method, the quantitative relationship between the congeries of particles and the damage of the building is analyzed.The author found that: compared with on-site screening statistics, the data obtained by the method of image recognition of congeries particles is more comprehensive and detailed, and can save a lot of manpower and material resources.In addition, the interaction between the house and the rock avalanche is explored, and it is found that the house has the effect of "blocking coarse and fine discharge" on the rock avalanche particles. At the same time, using the particle size data obtained by image recognition to derive the discrimination formula for building damage, the discriminating effect is good, laying the foundation for follow-up research.

     

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