Evaluation and Optimal Selection of Diversion Tunnels Construction Simulation Schemes Based on Multi-Level Fuzzy Comprehensive Evaluation

Bi, Lei; Ren, Bing Yu; Zhong, Da; Hu, Lian Xing

doi:10.4028/www.scientific.net/amm.368-370.1361

Cited by 1 publication

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“…In addition to the evaluation of independent stability indicators for the comparison and selection of tunneling methods, studies related to the selection of methods using comprehensive evaluation theory or optimization decision theory also exist (Zhang et al, 2007;Golestanifar et al, 2011;Bi et al, 2013;Zheng, 2016;Wu et al, 2020;Wu et al, 2021). But they are basically case-by-case special applications, none of which is comprehensive and general evaluation guidelines have not been formed.…”

Section: Introductionmentioning

confidence: 99%

Decision criteria and intelligent decision method for tunnel excavation scheme selection considering carbon emissions

Xia¹,

Mao²,

Chen³

et al. 2022

Front. Environ. Sci.

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The tunnel construction process is accompanied by high resource consumption and non-negligible greenhouse gas emissions. Reducing the carbon emissions from this process is an issue that should be considered in the decision-making stage. For tunnel construction using the drill-and-blast process, selecting a reasonable excavation scheme is a feasible method for reducing carbon emissions. This paper proposes an evaluation index system that takes into account the stability of the tunnel construction process and the reasonable assessment of carbon emission levels. For various scenarios with different focus on stability requirements, theoretical deductions are used to filter out the key indicators that should be used as assessment items. For the determination of carbon emission assessment indicators, this study is guided by the life cycle theory, and in the determined calculation boundary, the reference of previous projects and expert opinions are selected as the item source to fill the unfavorable situation in which the carbon emissions of different excavation schemes cannot be accurately calculated because of the lack of bills of quantities in the engineering decision stage. This paper also proposes an intelligent decision method based on a support vector machine to better complete the task of calculating and ranking the utility of excavation schemes to adapt the proposed multi-factor parallel evaluation system. Finally, the proposed decision indicator system and decision method were applied to the selection of the excavation scheme in an engineering case, and reasonable and realistic scoring results were obtained.

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Section: Introductionmentioning

confidence: 99%