Comparative Analysis of Mining Damage Evaluation Methods for Mining Buildings

Huipeng Zhai; Yanyan Peng; Kexin Xu; Weisen Bai; Jinhua Lu

doi:10.54097/ije.v3i1.10150

Authors

Huipeng Zhai
Yanyan Peng
Kexin Xu
Weisen Bai
Jinhua Lu

DOI:

https://doi.org/10.54097/ije.v3i1.10150

Keywords:

Mining Damage Assessment, PCA, AHP, Entropy Weight Method, Correlation

Abstract

In the eastern mining areas of China, coal mining under buildings is more common. In order to alleviate the contradiction between coal mining under buildings and the relationship between workers and farmers, it is necessary to evaluate the degree of damage to buildings in a more objective and scientific way. Taking the buildings in the surface movement basin in Fengfeng Mining District of Handan City as the research object, 15 residential buildings with different degrees of damage were selected as sampling points, and data including four surface movement deformation parameters and five parameters of the buildings' own attributes were collected. In order to objectively calculate the influence of each indicator, two methods, namely principal component analysis and AHP entropy weighting, were used to calculate the influence of the indicators on the damage of the buildings. The results show that the index system selected in the paper is scientific and objective, with the building's own attributes accounting for 0.57. In the evaluation model using principal component analysis, the evaluation of the building damage evaluation results exactly matches the evaluation of the field survey results, which proves the feasibility of applying the method to the evaluation of mining damage in mining areas. The significance of Bartlett's test of 0.228 showed that the indicators were extremely uncorrelated, proving that the AHP entropy method of assigning weights is applicable to the evaluation of mining damage to buildings in mining areas in an indicator system where the indicators are weakly correlated.

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