At present, building information modeling (BIM) has been developed into a digital backbone
of the architecture, engineering, and construction industry. Also, recent decades have …

To realize project management improvement, many different objectives have to be
considered simultaneously due to the nature of complexity and uncertainty in construction …

Energy consumption prediction is an integral part of planning and controlling energy used in
the building sector which accounts for 40% of the global energy consumption and a …

This study proposes a hybrid deep learning approach for dynamic attitude and position
prediction of the tunnel boring machine (TBM) with high accuracy. By utilizing the key …

Robust optimization is an ideal solution for enhancing safety in tunnel construction in the
presence of unpredictable soil conditions, especially in large-diameter tunnel construction …

A deep learning-based multi-output prediction model is developed to better understand and
more accurately estimate tunnel boring machine (TBM) performance in each segment ring …

Green building has drawn worldwide attention due to the adverse impact of construction on
the environment. This research presents a Building Information Modeling (BIM) based …

Prognostics and health management (PHM) will ensure the safe and reliable operation of
the battery systems. The remaining useful life (RUL) prediction as one of the major PHM …

Metro shield construction will inevitably cause changes in the stress and strain state of the
surrounding soil, resulting in stratum deformation and surface settlement (SS), which will …

This research provides a spatio-temporal approach to perform real-time forecasting for the
tunnel boring machine (TBM) operating parameters. By extracting the real-time TBM …