Application of artificial intelligence in geotechnical engineering: A state-of-the-art review
Geotechnical engineering deals with soils and rocks and their use in engineering
constructions. By their nature, soils and rocks exhibit complex behaviours and a high level of …
constructions. By their nature, soils and rocks exhibit complex behaviours and a high level of …
BIM, machine learning and computer vision techniques in underground construction: Current status and future perspectives
The architecture, engineering and construction (AEC) industry is experiencing a
technological revolution driven by booming digitisation and automation. Advances in …
technological revolution driven by booming digitisation and automation. Advances in …
Optimization of support vector machine through the use of metaheuristic algorithms in forecasting TBM advance rate
The advance rate (AR) of a tunnel boring machine (TBM) in hard rock condition is a key
parameter for the successful accomplishment of a tunneling project, and the proper and …
parameter for the successful accomplishment of a tunneling project, and the proper and …
[HTML][HTML] State-of-the-art review of soft computing applications in underground excavations
Soft computing techniques are becoming even more popular and particularly amenable to
model the complex behaviors of most geotechnical engineering systems since they have …
model the complex behaviors of most geotechnical engineering systems since they have …
[HTML][HTML] Predicting TBM penetration rate in hard rock condition: A comparative study among six XGB-based metaheuristic techniques
A reliable and accurate prediction of the tunnel boring machine (TBM) performance can
assist in minimizing the relevant risks of high capital costs and in scheduling tunneling …
assist in minimizing the relevant risks of high capital costs and in scheduling tunneling …
A new hybrid grey wolf optimizer-feature weighted-multiple kernel-support vector regression technique to predict TBM performance
Full-face tunnel boring machine (TBM) is a modern and efficient tunnel construction
equipment. A reliable and accurate TBM performance (like penetration rate, PR) prediction …
equipment. A reliable and accurate TBM performance (like penetration rate, PR) prediction …
Success and challenges in predicting TBM penetration rate using recurrent neural networks
Abstract Tunnel Boring Machines (TBMs) have been increasingly used in tunnelling
projects. Forecasting future TBM performance would be desirable for project time …
projects. Forecasting future TBM performance would be desirable for project time …
Forecasting tunnel boring machine penetration rate using LSTM deep neural network optimized by grey wolf optimization algorithm
Achieving an accurate and reliable estimation of tunnel boring machine (TBM) performance
can diminish the hazards related to extreme capital costs and planning tunnel construction …
can diminish the hazards related to extreme capital costs and planning tunnel construction …
Development of hybrid intelligent models for predicting TBM penetration rate in hard rock condition
DJ Armaghani, ET Mohamad… - … and Underground Space …, 2017 - Elsevier
The aim of this research is to develop new intelligent prediction models for estimating the
tunnel boring machine performance (TBM) by means of the rate pf penetration (PR). To …
tunnel boring machine performance (TBM) by means of the rate pf penetration (PR). To …
Recurrent neural networks for real-time prediction of TBM operating parameters
With tunnel boring machines (TBMs) widely used in tunnel construction, the adaptable
adjustment of TBM operating status has become a research focus. Since the prediction of …
adjustment of TBM operating status has become a research focus. Since the prediction of …