Decision Aids for Tunneling

Einstein, Herbert H.; Indermitte, Claude; Sinfield, Joseph V.; Descoeudres, F.; Dudt, Jean-Paul

doi:10.3141/1656-02

Cited by 35 publications

(5 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The decision aids for tunneling (DAT), developed by Einstein et al (1999), enables the engineers to perform simulations considering the uncertainties in the geology and construction process for a given tunneling project and to simultaneously present the probability distributions of the tunnel construction cost and time [10]. To consider uncertain geological characteristics, various ground profiles are represented as probability distributions.…”

Section: Decision Aids For Tunnelingmentioning

confidence: 99%

A Causal Network-Based Risk Matrix Model Applicable to Shield TBM Tunneling Projects

et al. 2021

View full text Add to dashboard Cite

The present study compares and analyzes three risk analysis models that are applicable to shield tunnel boring machine (TBM) tunneling, and thus proposes an improved risk matrix model based on the causal networks applicable to sustainable tunnel projects. The advantages and disadvantages of three risk analysis models are compared, and causal networks are structured by analyzing the causal relationship between risk factors and risk events. Based on the comparison and analysis results, the causal network-based risk matrix model (CN-Matrix model), which complements the disadvantages and exploits the advantages of the three existing models, is proposed in this paper. Furthermore, this study suggests a means of modifying the weighting scores in the estimation of the risk score, which permits the CN-Matrix model to determine the risk level more reasonably. Thus, the improved CN-Matrix model is more reliable and robust compared to the three existing models.

show abstract

Section: Decision Aids For Tunnelingmentioning

confidence: 99%

A Causal Network-Based Risk Matrix Model Applicable to Shield TBM Tunneling Projects

et al. 2021

View full text Add to dashboard Cite

show abstract

“…Sousa and Einstein (2012) developed an approach based on Dynamic Bayesian Networks (DBN) to evaluate the expected costs and a tunnel collapse risk. Decision Aids for Tunneling (DAT) was developed by Einstein et al (1999) to reduce the uncertainties of construction time and cost in tunneling projects.…”

Section: Introductionmentioning

confidence: 99%

Development of Machine Learning-based Methods to Reduce the Uncertainty of Tunneling Projects

et al. 2022

View full text Add to dashboard Cite

Having a good knowledge of the time and cost required to build a tunnel can be very important in reducing uncertainties related to the management of its construction. In this paper, using data obtained from the constructed parts of a tunnel, Gaussian process regression (GPR) method is developed to predict the time and cost of the non-constructed parts. Finally, by comparing the results predicted by the GPR model with the actual ones, it was concluded that the developed GPR model has a high potential to reduce uncertainties related to the time and cost of tunnel construction. Also, the ability of GPR model to predict time and cost of tunnel construction was compared with two other methods of support vector regression (SVR) and artificial neural networks (ANN). Finally, the GPR model was superior to the SVR and ANN methods in terms of prediction accuracy

show abstract

“…He first adapted risk analysis and decision-making into rock engineering [2]. A computer-based tool, i.e., Decision Aids for Tunneling (DAT), has shown great capacity in predicting tunneling cost and time [3]. e characteristics of Tunnel engineering risk analysis, as well as the ideas that should be followed, was proposed by this research.…”

Section: Introductionmentioning

confidence: 99%

Identification and Assessment of Subway Construction Risk: An Integration of AHP and Experts Grading Method

Liu

et al. 2021

Advances in Civil Engineering

View full text Add to dashboard Cite

Qing Dao is one of the earliest cities that included the idea of subway construction into the city’s transportation plan. However, the construction period of a subway project is long, and the uncertainties caused by the geological conditions and surrounding environments are huge, thus a risk assessment method in subway construction is essential. To ensure the tunnel safety, many researchers have raised different methods for risk assessment. The process of risk assessment can be characterized in three steps: (1) data acquisition; (2) complete the uncertainty model; (3) evaluate the possible risk during the construction. This paper introduces a novel risk assessment method that combines the Analytic Hierarchy Process (AHP) and Experts Grading Method (EGM). The advantage of AHP is that it can quantify the qualitative factors, inspect and reduce the subjective influence to a certain extent, and make the evaluation more scientific. As for the EGM, simplicity and directness are the main characteristics. Assisted by this method, proper measures can be taken to eliminate the potential risk. The integrated method was implemented during the construction of Taishan Road Station of Qingdao Subway to evaluate the potential risk. With the help of this integrated method, the general risk sources during the construction period are well marked and the control measures corresponding to the risk sources are provided.

show abstract

Decision Aids for Tunneling

Cited by 35 publications

References 2 publications

A Causal Network-Based Risk Matrix Model Applicable to Shield TBM Tunneling Projects

A Causal Network-Based Risk Matrix Model Applicable to Shield TBM Tunneling Projects

Development of Machine Learning-based Methods to Reduce the Uncertainty of Tunneling Projects

Identification and Assessment of Subway Construction Risk: An Integration of AHP and Experts Grading Method

Contact Info

Product

Resources

About