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Optimization of Method Statement for Low-carbon Tunnel Construction Based on SVM-MAUT
(1. School of Civil Engineering of Xi'an University of Architecture and Technology, Xi'an 710055; 2. Shaanxi Key Laboratory of Geotechnical and Underground Space Engineering, Xi'an University of Architecture and Technology, Xi'an 710055;3. Tunnel and Underground Structure Engineering Research Institute of Xi'an University of Architecture and Technology,Xi'an 710055; 4. The First Engineering Co., Ltd. of China Railway Beijing Engineering Group, Xi'an 710055;5. School of Civil and Hydraulic Engineering, Huazhong University of Science and Technology, Wuhan 430074)
Abstract To accomplish the dual carbon goals, it is urgently necessary to optimize the method statement for lowcarbon tunnel construction. With the help of the comprehensive evaluation system supported by multi-attribute de? cision-making, the to-be-evaluated stability indicators for tunnel construction in various scenarios have been examined, and 3 factors, i.e. surrounding rock stability, stratum stability and support stability, have been identified.Regarding the non-stability indicators, priority is given to the carbon emission non-stability factor, and the comprehensive evaluation indicator system for method statement for low-carbon tunnel construction is established. A mapping model is created that is based on the Support Vector Machine-Multi-Attribute Utility Theory (SVM-MAUT), in order to replace the traditional comprehensive evaluation method and find the low-carbon tunnel construction method statement comparison method. In the last step, the comparison method is applied to optimization of the construction method for the soft rock section with rock breakage and large deformation in Daliangshan Tunnel No. 1. Based on the attribute utility of the method statements for the basalt, claystone and silty mudstone sections, the optimum combination of method statements is identified. Compared with the method statement that generates extreme carbon emission, the carbon emission equivalent per linear meter is reduced by 2 313.01 kg, 790.10 kg and 717.84 kg respectively, the tunnel stability conforms to the design requirements and the applicable standards, and the sectional convergence deformation is within the preset control value range.
Abstract：
To accomplish the dual carbon goals, it is urgently necessary to optimize the method statement for lowcarbon tunnel construction. With the help of the comprehensive evaluation system supported by multi-attribute de? cision-making, the to-be-evaluated stability indicators for tunnel construction in various scenarios have been examined, and 3 factors, i.e. surrounding rock stability, stratum stability and support stability, have been identified.Regarding the non-stability indicators, priority is given to the carbon emission non-stability factor, and the comprehensive evaluation indicator system for method statement for low-carbon tunnel construction is established. A mapping model is created that is based on the Support Vector Machine-Multi-Attribute Utility Theory (SVM-MAUT), in order to replace the traditional comprehensive evaluation method and find the low-carbon tunnel construction method statement comparison method. In the last step, the comparison method is applied to optimization of the construction method for the soft rock section with rock breakage and large deformation in Daliangshan Tunnel No. 1. Based on the attribute utility of the method statements for the basalt, claystone and silty mudstone sections, the optimum combination of method statements is identified. Compared with the method statement that generates extreme carbon emission, the carbon emission equivalent per linear meter is reduced by 2 313.01 kg, 790.10 kg and 717.84 kg respectively, the tunnel stability conforms to the design requirements and the applicable standards, and the sectional convergence deformation is within the preset control value range.
LIU Shihao1 SONG Zhanping1,
2,
3 XU Leilei4 XIA Zhenzhao5 WANG Junbao1 etc
.Optimization of Method Statement for Low-carbon Tunnel Construction Based on SVM-MAUT[J] MODERN TUNNELLING TECHNOLOGY, 2023,V60(6): 68-79
2023, Vol. 60 