Tunneling Risk Visualization Using BIM and Dynamic Bayesian Network

Deng, Ting; Tang, Dongdong; Jin, Shi; Tan, Yi

doi:10.1007/978-981-19-5256-2_7

Cited by 1 publication

(1 citation statement)

References 18 publications

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“…Providakis et al 15) emphasized that BIM should be used to a great extent for estimating settlement risks in urban tunnels. Deng et al 16) proposed to combine the probability analysis of dynamic Bayesian networks and BIM in managing risks during tunnel construction. Many studies have pointed out that BIM is very effective for risk management in tunnel construction.…”

Section: Introductionmentioning

confidence: 99%

Development and Practical Application Deployment of Bim/Cim System for Mountain Tunnels

HATA,

SUGIURA,

GOTO

2023

Journal of JSCE

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This study aims to develop a system that improves operational efficiency by centrally managing the information obtained at each stage of the design, construction, and maintenance of mountain tunnels. In this study, the items required for mountain tunnels are examined in reference to building information modeling (BIM) that has been developed in the field of architecture. The basic information includes topography, geology, and support design information at the planning stage; observation, measurement, and analysis results during construction; and information on concrete lining deformation at the post-completion maintenance stage. In addition, the BIM/construction information modeling and management (CIM) practical application system is developed and applied to the site by considering the prediction of geological conditions in front of the tunnel face and the prediction of fault fracture zones and water inflow to ensure that the construction is carried out safely and as planned. Moreover, drawing the BIM/CIM in 3D is expected to promote information sharing and speed up decision making between clients and contractors, consequently leading to construction deadline conformance, construction cost reduction, and ensuring a safe and secure construction.

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Section: Introductionmentioning

confidence: 99%