Abstract: This paper develops a hybrid simulation approach that integrates a dynamic default tree (DFT) and discrete-time Bayesian network (DTBN) to support tunnel boring machine (TBM) performance prediction and diagnosis. A causal ...

Abstract: This paper develops a holistic simulation-based approach to determining reasonable strategies to limit the magnitude of ground settlement in shallow tunnel excavation. Simulation models are built to investigate and analyze ...

Abstract: Tunnels are generally built under trunk roads (where traffic conditions are complex and heavy) in order to share the load of urban road systems. The construction of tunnels has significant effects on the surrounding ...

Abstract: Ground surface settlement is an important measurement in identifying potential damages for shield tunneling. Identifying the relationship between shield parameters and the resulting settlement is of vital importance to the ...

Abstract: During the operation of tunnels, structural performance could inevitably degrade due to stochastic and adverse factors. To reduce the randomness and uncertainty of the tunnel operation, this paper provides a novel global ...

Abstract: This paper presents a systematic approach that incorporates structural equation modeling (SEM) and exploratory factor analysis (EFA) to perceive and verify causal-relationships and interactions between enablers and goals ...

Abstract: This paper develops a novel hybrid approach that integrates metamodeling, machine learning algorithms, and a variance decomposition technique to support global uncertainty and sensitivity (US) analysis under uncertainty. ...