This paper presents a brief review on major accidents and conducts bibliometric analysis of
risk assessment methods for excavation system in recent year. The summarization of …

As different artificial intelligence (AI) techniques continue to evolve, power systems are
undergoing significant technological changes with the primary goal of reducing …

Purpose In order to improve the accuracy of project cost prediction, considering the
limitations of existing models, the construction cost prediction model based on SVM …

Disc cutter consumption is a critical problem that influences work performance during shield
tunneling processes and directly affects the cutter change decision. This study proposes a …

A new numerical approach for modelling the localised leakage of shield tunnel lining is
proposed, in which the localised leakage is simulated using a one-dimensional leakage …

The bidirectional long short-term memory (Bi-LSTM) network is an innovative computation
paradigm that learns bidirectional long-term dependencies between time steps and …

This paper presents a new trial to reproduce soil stress–strain behaviour by adapting a long
short-term memory (LSTM) deep learning method. LSTM is an approach that employs time …

This study proposes an artificial intelligence approach to predict ground settlement during
shield tunneling via considering the interactions among multi-factors, eg, geological …

Modelling the heating load (HL) and cooling load (CL) is the cornerstone of the designing of
energy-efficient buildings, since it determines the heating and cooling equipment …

Tunnel boring machine (TBM) vibration induced by cutting complex ground contains
essential information that can help engineers evaluate the interaction between a cutterhead …