Abstract
Urban underground space (UUS) is an important resource to address the shortage of land, save resources and reduce environmental pollution, but it is irreversible. Therefore, it is necessary to evaluate its suitability before development. Rock mass is not only the carrier of UUS utilization, but also a key evaluation index, as it directly affects the evaluation results. Therefore, it is necessary to evaluate the 3D quality of rock mass from the perspective of UUS development. In this paper, a 3D quality evaluation model of rock mass in UUS is established based on an improved fuzzy analytic hierarchy process (IFAHP). Firstly, the subjective weight is calculated by analytic hierarchy process (AHP), and the objective weight is calculated by super-standard multiple method (SSMM). Then a new weight combination method (grey correlation analysis) is adopted. This method organically combines the subjective and objective weights, and the results show that the combined weight is more reasonable. Then the combination weight and fuzzy comprehensive evaluation method are combined with MapGIS to establish a 3D evaluation model. The case analysis shows that the evaluation results of the national standard BQ method are conservative, the traditional fuzzy analytic hierarchy process (TFAHP) is smaller, and the IFAHP is more robust. The case analysis also shows that the 3D evaluation has the advantages of strong intuition, good visualization and high precision, which is better than the traditional 2D evaluation. Moreover, the 3D evaluation model can not only be applied to this case, but also to other projects, and can provide decision-making for the development of UUS.
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Abbreviations
- C :
-
Cohesion
- φ :
-
Internal friction angle
- υ :
-
Poisson’s ratio
- R c :
-
Saturated uniaxial compressive strength
- K v :
-
Rock mass integrity coefficient
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This research is based on the Chengdu Municipal Bureau of Planning and Natural Resources (Project No. 5101012018002703) and Youth Science Fund Project of National Natural Science Foundation of China (Project No.51804261).
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Peng, Z., Su, P., Chen, W. et al. 3D Quality Evaluation of Rock Mass in Urban Underground Space Based on Improved Fuzzy Analytic Hierarchy Process. KSCE J Civ Eng 26, 4829–4839 (2022). https://doi.org/10.1007/s12205-022-0045-1
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DOI: https://doi.org/10.1007/s12205-022-0045-1