- 综合性科技类中文核心期刊
- 中国科技论文统计源期刊
- 中国科学引文数据库来源期刊
- 中国学术期刊文摘数据库（核心版）来源期刊
- 中国学术期刊综合评价数据库来源期刊
| Citation: |
QIAO Jiangang, LIU Xiang, GENG Binbin. Evaluation of Slope Protection Effect of Mountain Roads Based on the Optimal Solution of Rough Set[J]. Journal of Beijing University of Technology, 2024, 50(7): 854-863. DOI: 10.11936/bjutxb2022100023
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To systematically evaluate the slope protection effect of different slope protection technologies, by investigating the influence of a large number of slope protection technologies on the ecological environment and slope characteristics along the slope, based on the rough set theory and conditional information entropy, the correlation between slope protection effect and stability, erosion resistance and other factors was analyzed, combined with the importance of the optimal solution optimization evaluation index, an index weight determination method suitable for the slope protection effect of mountainous highways was proposed, and a slope protection effect evaluation system was constructed. Using fuzzy theory and fuzzy comprehensive evaluation theory, a fuzzy comprehensive evaluation method for the protection effect of mountain highway slope was established. Relying on the analysis of 11 common slope protection technologies on a mountainous physical slope, it was obtained that the slope protection effect of ecological concrete protection technology and geonet grass planting protection technology was the best. The combined technology of ecological concrete and geogrid grass planting was simulated and calculated. It was found that the maximum horizontal displacement and maximum shear strain of the slope were reduced by 66.21% and 90.17%, respectively, and the stability coefficient of the slope increased from 1.252 to 1.351, which meet the requirements of the specification. This study provides a new idea for the optimization of slope protection technology for mountain highways.
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| [1] | QIAO Jiangang, SUN Xitao. Extension Stability Evaluation Model of Soil-rock Mixture Slope of Mountain Roads Based on Rough Set Weighting[J]. Journal of Beijing University of Technology, 2020, 46(5): 508-514. DOI: 10.11936/bjutxb2018070012 |
| [2] | TANG Zuoqi, HUANG Yujie, LIANG Jing, AN Rui, WU Chunming. Classification of Information System Based on Gray-fuzzy Comprehensive Theory[J]. Journal of Beijing University of Technology, 2018, 44(8): 1145-1151. DOI: 10.11936/bjutxb2017070050 |
| [3] | WANG Shi-qiang, ZHANG Deng-fu, BI Du-yan, ZHANG Li-dong. Two-step Attribute Reduction Method Based on Fuzzy Rough Sets Dependency[J]. Journal of Beijing University of Technology, 2013, 39(6): 828-834. |
| [4] | FU Sheng, ZHANG Ya-bin. Development of the Monitoring and Fault Diagnosis System for Pump Based on Fuzzy Theory[J]. Journal of Beijing University of Technology, 2012, 38(7): 1008-1012. |
| [5] | QIN Yi. The Application of Fuzzy Analytical Hierarchy Process to the Carbonization Industry's Environmental Protection and Technique Creation[J]. Journal of Beijing University of Technology, 2009, 35(12): 1722-1728. |
| [6] | HAN Fu-rong, ZHAO Hong, ZHAO Yu-tong. Research on the Indicator System for Brand Competitiveness[J]. Journal of Beijing University of Technology, 2008, 34(6): 666-672. |
| [7] | AN Hong-chang, AN Wei-peng, JIN Feng, NI Xiao-ru, LI Jun-ying, LI Jing-wen. Demonstration of Knowledge Management Fuzzy Appraisement in Information Systems Project Management[J]. Journal of Beijing University of Technology, 2007, 33(4): 445-448. |
| [8] | HUANG Xian-ming, YI Ji-kai. The Development Actualities and Application Future on Rough Set Theory[J]. Journal of Beijing University of Technology, 2005, 31(1): 29-35. |
| [9] | LI Zhi-yong, WANG Shun-hong. Vendor-selection Method Based on Fuzzy Synthetic Evaluation[J]. Journal of Beijing University of Technology, 2004, 30(1): 124-128. |
| [10] | Liu Baozhi, Chen Yeqin, Yi Zeguang. Methodology of Establishing Urban Integrated Pollution Control and Treatment Index System[J]. Journal of Beijing University of Technology, 1988, 14(4): 28-36. |
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