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Study of Dynamic Prediction and Control about Tunnel Construction Schedule and Cost |
HU Lan1,LI Tao2, QIU Wen-ge2 |
1. College of Economics and Management, Southwest Jiaotong University, Chengdu, Sichuan 610031, China; 2. Key Laboratory of Transportation Tunnel Engineering, Ministry of Education, Southwest Jiaotong University, Chengdu, Sichuan 610031, China
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Abstract Abstract:Research purposes:Fuzziness, randomness and uncertainty in tunnel geological conditions and construction, made its actual schedule and cost dynamic and variable in the construction process, increasing the difficulty to control. How to integrate its impact factor for predicting and controlling tunnel construction schedule and cost dynamically still need to be further studied.
Research conclusions:(1) With the main hole mileage in tunnel as the principal axis, drilled footage per month and cost in single linear meter of tunnel surrounding rock classification, tunnel surrounding rock change probability, risk accident statistical parameters(probability of occurrence, the processing time and cost under different level of risk) were selected as random variables, then a function relation model of tunnel construction schedule and cost was built by Monte Carlo Simulation. (2) The tunnel dynamic control evaluation index and evaluation standard was set up on top of that. A new decision method was provided for project managers by getting a full grasp with actual construction state timely and adjusting plans of schedule and cost quickly and accurately. (3) An empirical study of double-line tunnel tested its practicability and feasibility, to use for reference in similar projects.
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[1]Mario Golger, Giorhio, H.O, Friedrich Prinzl. The Pir Panjal Railway Tunnel[J]. Geomechanics and Tunneling, 2014(2) : 133-141.
[2]Pillai A S, Tiwari A K. Enhanced PERT for Programme Analysis, Control and Evaluation: Pace[J]. International Journal of Project Management, 1995(1) : 39-43.
[3]Kim K, Jesús M. de la Garza. Critical Path Method with Multiple Calenders[J]. Journal of Construction Engineering and Management-ASCE, 2005(3):330-342.
[4]Wilde E. Engineering Project Control[J]. Project Management, 1995(12):279-283.
[5]范南春. 灰色系统理论在瀑布沟水电站泄洪洞工程进度控制中的运用[D]. 成都:四川大学, 2005.
Fan Nanchun. Application of Gray System Theory in Discharge Tunnel Schedule Control at Pubugou Hydropower Station[D]. Chengdu: Sichuan University, 2005.
[6]胡连兴. 复杂长距离引水隧洞群施工全过程仿真优化与进度控制关键技术研究[D]. 天津:天津大学, 2012.
Hu Lianxin. Research on the Key Technology in the Complex Long Distance Diversion Tunnel Groups Based on the Whole Construction Process Simulation Optimization and Schedule Control[D]. Tianjin: Tianjin University, 2012.
[7]王仁超, 欧阳斌, 褚春超. 工程网络计划蒙特卡洛仿真及进度风险分析[J]. 计算机仿真, 2004(4):143-147.
Wang Renchao, Ouyang Bin, Chu Chunchao. Monte Carlo Simulation of Project Network Planning and Schedule Risk Analysis[J]. Computer Simulation, 2004(4):143-147.
[8]张云波. 工程项目工期延误原因及预警模型研究[D]. 天津:天津大学, 2003.
Zhang Yunbo. The Study on the Cause of Delay & the Model of Early Warning in Construction Project[D]. Tianjin: Tianjin University, 2003.
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