基于DEA方法的钻爆法隧道无人化施工组织效率评价研究
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作者单位:

1.国能朔黄铁路发展有限责任公司原平分公司,山西 原平 034100 ;2.中南大学土木工程学院,湖南 长沙 410083

作者简介:

李锐(1980—),男,高级工程师,研究方向为铁道工务。E-mail:328305286@qq.com。

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中图分类号:

U455;TU721

基金项目:

国家重点研发计划项目(2023YFB2603901)


DEA-Based Organizational Efficiency Evaluation of Unmanned Construction in Drill-and-Blast Tunnels
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Affiliation:

1.Yuanping Branch, CHN Energy Shuohuang Railway Development Co., Ltd.,Yuanping 034100 , China ;2.School of Civil Engineering, Central South University, Changsha 410083 , China

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    摘要:

    针对钻爆法隧道无人化施工组织效率评价问题,构建了基于超效率非期望产出SBM模型的评价体系。以西藏自治区某在建隧道为例,确定了包含4个投入指标和4个产出指标的评价指标体系,其中将超欠挖量作为非期望产出处理。对30个施工循环进行评价,结果表明:30个施工循环平均效率值为0.988,66.67%的循环达到DEA有效;子工序调度时间和工程进尺是影响施工组织效率的最关键因素;不同效率层次的循环呈现显著的灵敏度分层特征,效率提升存在边际递减效应。

    Abstract:

    To address the efficiency evaluation of organizational management in unmanned construction of drilland-blast tunnels, an evaluation system based on the super-efficiency Slack-Based Measure (SBM) model with undesirable outputs was constructed. Taking a tunnel under construction in the Xizang Autonomous Region as a case study, an evaluation index system comprising four input indicators and four output indicators was established, wherein the overbreak volume was treated as an undesirable output. The evaluation of 30 construction cycles revealed that the average efficiency value was 0.988, with 66.67% of the cycles being DEA-efficient. The sub-process scheduling time and advance distance per cycle were identified as the most critical factors influencing the organizational efficiency. Furthermore, construction cycles at different efficiency levels exhibited significant sensitivity stratification characteristics, indicating the presence of a diminishing marginal effect in efficiency improvement.

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李锐,朱春雨,雷明锋,等. 基于DEA方法的钻爆法隧道无人化施工组织效率评价研究[J]. 华东交通大学学报, 2025,42(6):31-41.

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  • 收稿日期:2025-10-31
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  • 在线发布日期: 2026-01-15
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