不同围岩等级下钻爆法隧道施工机械配置多目标优化

doi:10.3973/j.issn.2096-4498.2025.S2.014

隧道建设（中英文） ›› 2025, Vol. 45 ›› Issue (S2): 163-173.DOI: 10.3973/j.issn.2096-4498.2025.S2.014

不同围岩等级下钻爆法隧道施工机械配置多目标优化

杨桂华¹，张朝禹^{2, *}，曾美婷¹，卢宣彤²，何欣¹，何世永²，甘金¹

（1. 重庆中环建设有限公司, 重庆 401120； 2. 重庆交通大学土木工程学院，重庆 400074）

出版日期:2025-12-20 发布日期:2025-12-20
作者简介:杨桂华(1987—)，男，重庆渝北人，2006年毕业于重庆大学，工程管理专业，本科，高级工程师，现从事施工技术管理工作。E-mail： 634116086@qq.com。 *通信作者: 张朝禹， E-mail: 25723655332@qq.com。

Multi-Objective Optimization of Drill-and-Blast Tunnel Machinery Under Constraint of Surrounding Rock Grades

YANG Guihua¹, ZHANG Chaoyu^{2, *}, ZENG Meiting¹, LU Xuantong², HE Xin¹, HE Shiyong², GAN Jin¹

(1. Chongqing Zhonghuan Construction Co., Ltd., Chongqing 401120, China; 2. College of Civil Engineering, Chongqing Jiaotong University, Chongqing 400074, China)

Online:2025-12-20 Published:2025-12-20

摘要/Abstract

摘要： 为解决钻爆法隧道施工中机械配置方案同质化、未能充分考虑围岩等级差异及碳排放影响的难题，探寻不同围岩等级下兼顾工期、成本与碳排放的最优机械配置方案，以五福隧道出口段左洞为工程背景，首先，基于围岩等级对机械配置选型的影响，将目标围岩（Ⅲ、Ⅳ、Ⅴ级）划分为Ⅲ级与Ⅳ—Ⅴ级2大类别，并针对性地提出各施工阶段的机械配置参考表；其次，构建以工期、成本和碳排放为核心目标的多目标优化模型，并创新性地采用改进熵权法，建立12个二级指标的目标偏好权重评价体系，以量化决策者偏好；最后，应用量子粒子群优化(quantum particle swarm optimization，QPSO)算法对不同围岩等级下的机械配置方案进行求解与优化。结果表明： 1）该方法为Ⅲ级和Ⅳ—Ⅴ级围岩隧道分别生成了81种和243种机械优化配置方案。2）与原始方案相比，采用Ⅲ级围岩机械优化配置方案使工期、成本和碳排放分别减少了26.98%、17.60%和19.06%，采用Ⅳ—Ⅴ级围岩机械优化配置方案使工期、成本和碳排放分别减少了27.53%、21.11%和24.62%。

关键词: 钻爆法隧道, 机械配置选型, 碳排放, 围岩等级, 多目标优化

Abstract: The drill-and-blast tunnel construction face various challenges, such as homogenization of machinery configuration schemes, insufficient consideration of surrounding rock grades, and impact of carbon emissions. To address these challenges, optimal machinery configuration schemes that take into account the construction period, cost, and carbon emissions under different surrounding rock grades are explored. Taking the left tunnel of the Wufu tunnel as the engineering background, based on the influence of surrounding rock grade on the selection of machinery configuration, the target surrounding rocks (grades of Ⅲ, Ⅳ, and Ⅴ) is divided into two categories : grades Ⅲ and Ⅳ－Ⅴ, and the reference table of machinery configuration in each construction stage is proposed. Then, a multiobjective optimization model with construction period, cost, and carbon emission as the core objectives is constructed, and an improved entropy weight method is innovatively adopted to establish a target preference weight evaluation system covering 12 secondary indicators such as initial investment, effective utilization rate, construction time, and carbon emission source, so as to quantify the preference of decision makers. Finally, the quantum particle swarm optimization algorithm is used to solve and optimize the machinery configuration scheme under different surrounding rock grades. The results show that: (1) The proposed method generates 81 and 243 optimal configuration schemes for grades Ⅲ and Ⅳ－Ⅴ surrounding rocks, respectively. (2) Compared with the original scheme, the optimized configuration of grade Ⅲ surrounding rock reduces the construction period, cost, and carbon emissions by 26.98%, 17.60%, and 19.06%, respectively. The optimal allocation of Ⅳ－Ⅴ surrounding rock reduces the construction period, cost, and carbon emissions by 27.53%, 21.11%, and 24.62% respectively.

Key words: drill-and-blast tunnel, machinery configuration and selection, carbon emission, surrounding rock grade, multi-objective optimization

杨桂华, 张朝禹, 曾美婷, 卢宣彤, 何欣, 何世永, 甘金. 不同围岩等级下钻爆法隧道施工机械配置多目标优化[J]. 隧道建设, 2025, 45(S2): 163-173.

YANG Guihua, ZHANG Chaoyu, ZENG Meiting, LU Xuantong, HE Xin, HE Shiyong, GAN Jin. Multi-Objective Optimization of Drill-and-Blast Tunnel Machinery Under Constraint of Surrounding Rock Grades[J]. Tunnel Construction, 2025, 45(S2): 163-173.

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不同围岩等级下钻爆法隧道施工机械配置多目标优化

Multi-Objective Optimization of Drill-and-Blast Tunnel Machinery Under Constraint of Surrounding Rock Grades

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