Design and construction of a road tunnel in Korea including application of the Decision Aids for Tunneling – A case study

Min, Sang-Yoon; Kim, T.K.; Lee, J.S.; Einstein, Herbert H.

doi:10.1016/j.tust.2007.01.003

Cited by 38 publications

(6 citation statements)

References 9 publications

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“…The tunnel used in this study is a road tunnel in Korea consisting of two parallel tunnels, (Fig. 11) which was completed in 2009 (Min et al 2008). The total length of "tunnel A" is 1910m, and "tunnel B" is 1900m long.…”

Section: Project Overview and Preparation For The Dat Simulationsmentioning

confidence: 99%

“…It should also be noted that consideration of geologic uncertainties is one of the major features of the DAT, which can easily be modeled in the DAT by defining geologic parameters such as lengths and sequences of areas, zones, ground parameters (e.g., rock type) and their states (e.g., schist, gneiss and granite), probabilistically. In fact, the uncertainties in geology were considered in the previous phases of this study performed for the same project (Min et al 2008). The reason for not including geologic uncertainties in the example presented here is to provide a clear picture on the effect of construction process uncertainties.…”

Section: Project Overview and Preparation For The Dat Simulationsmentioning

confidence: 99%

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Resource scheduling and planning for tunneling with a new resource model of the Decision Aids for Tunneling (DAT)

Min

Einstein

2016

Tunnelling and Underground Space Technology

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Section: Project Overview and Preparation For The Dat Simulationsmentioning

confidence: 99%

Section: Project Overview and Preparation For The Dat Simulationsmentioning

confidence: 99%

Resource scheduling and planning for tunneling with a new resource model of the Decision Aids for Tunneling (DAT)

Min

Einstein

2016

Tunnelling and Underground Space Technology

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“…Updating the simulation with unplanned conditions is also possible (Haas and Einstein, 2002). DAT was applied to support tunnel projects in Asia and Europe (Min et al, 2008;Moret et al, 2009). Weigl (1993) presented another, quite specialized approach.…”

Section: Related Workmentioning

confidence: 99%

Evaluation of Disturbances in Mechanized Tunneling Using Process Simulation

Rahm

Scheffer

Thewes

et al. 2015

Computer aided Civil Eng

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Production in mechanized tunneling frequently encounters disruptions due to sensitive process interdependencies. Reasons can be technical failures, insufficient capacity dimensioning, organizational deficiencies, or sensitive supply chains. These unproductive times could be reduced by an adequately designed project setup including logistical aspects. Therefore, possible disturbances must be identified and analyzed in detail. Based on this investigation, the machine and logistics setup can be changed to cope with unforeseen events. We present a modeling and simulation approach to analyze production and logistic processes of mechanized tunneling processes in a transparent and understandable way. The system is formalized in the modeling standard SysML. Thereby, we consider relevant system elements and process interdependencies to assess the effect of disturbances and to identify bottlenecks. We distinguish three kinds of disruptions: (i) technical failure of main elements related to the production processes, (ii) issues resulting from an insufficient supply chain, and (iii) cascading disturbances. The implementation in a simulation environment and the processing of relevant input data are presented hereupon. The presented approach is then illustrated by means of an application example based on a completed metro project. Three extending simulation studies quantify the impact of the identified disturbance categories.

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“…They typically use Monte Carlo (MC) simulation -see e.g. Ruwanpura and Ariaratnam (2007), Chung et al (2006), Min (2008).…”

Section: Introductionmentioning

confidence: 99%

Probabilistic assessment of tunnel construction performance based on data

Špačková

Šejnoha

Straub

2013

Tunnelling and Underground Space Technology

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A probabilistic model for estimating tunnel excavation time is learnt with data from past tunnel projects. The model is based on the Dynamic Bayesian Network technique. The model inputs are determined through an analysis of data from three tunnels built by means of the conventional tunneling method. The data motivate the development of a novel probability distribution to describe the excavation performance. In addition, the probability of construction failure events and the delay caused by such failures are estimated using databases available in the literature. The model is applied to a case study, in which it is demonstrated how observations from the tunnel construction process can be included to continuously update the prediction of excavation time.

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Design and construction of a road tunnel in Korea including application of the Decision Aids for Tunneling – A case study

Cited by 38 publications

References 9 publications

Resource scheduling and planning for tunneling with a new resource model of the Decision Aids for Tunneling (DAT)

Resource scheduling and planning for tunneling with a new resource model of the Decision Aids for Tunneling (DAT)

Evaluation of Disturbances in Mechanized Tunneling Using Process Simulation

Probabilistic assessment of tunnel construction performance based on data

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