Real-Time Construction Schedule Analysis of Long-Distance Diversion Tunnels Based on Lithological Predictions Using a Markov Process
Publication: Journal of Construction Engineering and Management
Volume 141, Issue 2
Abstract
Schedules are major concerns in construction planning and management. The mutual interferences among construction activities of long-distance diversion tunnels (LDDTs) are complicated because of their crisscrossing and intensive layout, which will affect scheduling to some degree. Especially, lithology has a conclusive influence on underground construction. But the lithology determination methods of current construction simulation, such as the trend of extrapolation from observations, do not fully consider lithology’s inherent characteristics and the transition probability between different lithological classifications. In the present study, the authors propose a hierarchical simulation model coupling the critical path method (CPM) and cycle operation network (CYCLONE) to arrange the intricate construction sequence of LDDTs. Additionally, a Markov prediction model is embedded into the CYCLONE model as a specific component to consider lithological uncertainty and estimate construction parameters of each cycle automatically. Based on the proposed simulation model, a real-time construction schedule analysis system is built. A case study project is analyzed to demonstrate the feasibility of the methodology and to highlight its capabilities. For this project, a reasonable planned schedule is proposed, an optimal equipment selection is determined, the excavation intensity is balanced, and it is verified that a simulation model considering lithological uncertainty using a Markov process provides a higher level of accuracy in prediction than traditional simulations. Finally, regulatory measures are presented for site management based on the simulation results and the deviations between the actual and planned schedules.
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Acknowledgments
This work was financially supported by Innovative Research Groups of the National Natural Science Foundation of China (51321065), the National Basic Research Program of China (973 Program) (2013CB035904) and Natural Science Foundation of China (51339003).
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Information & Authors
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Published In
Journal of Construction Engineering and Management
Volume 141 • Issue 2 • February 2015
Copyright
© 2014 American Society of Civil Engineers.
History
Received: Apr 21, 2014
Accepted: Aug 18, 2014
Published online: Sep 24, 2014
Published in print: Feb 1, 2015
Discussion open until: Feb 24, 2015
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