Advances in tunnel boring machines (TBM) have leveraged applied artificial intelligence to
promote sustainable and automatic tunneling construction. This paper highlights the …

During shield construction of Xi'an metro, saturated loess stratum with loose soil structure
and poor engineering properties is often encountered, which is prone to cause excessive …

Tunnel boring machine (TBM) is frequently used in tunnel construction due to its advantages
in safety, high efficiency, environmental friendliness. However, the tunnelling efficiency of a …

Tunnel boring machine (TBM) tunneling data have been extensively collected to utilize TBM
information technology by analyzing and mining the data for achieving a safe and efficient …

The article introduces quantile deviation l as a new sensitivity measure based on the
difference between superquantile and subquantile. New global sensitivity indices based on …

Recently, the number of deteriorating bridges has drastically increased. As such, enormous
amounts of resources are invested yearly to maintain the performance of bridges within …

The fundamental components in predicting the TBM performance (advance rate) are the rate
of penetration and utilization. Extensive studies have been conducted to accurately estimate …

Several models have been developed to predict utilization of Tunnel Boring Machines
(TBMs) based on statistical analysis of available project databases. Apart from the existing …

This paper takes an actual station of Nanjing Metro Line 2 as the research object and
establishes the corresponding 2D and 3D overall time-domain nonlinear finite element …

The rock classification system was initially applied to drill-and-blast tunnels and
subsequently adapted for TBM tunnels; however, the majority of these systems primarily …