A novel constrained dense convolutional autoencoder and DNN-based semi-supervised method for shield machine tunnel geological formation recognition
Accurately acquiring the geological information of the tunnel face will help to set the optimal
operational parameters, so that the shield machine can achieve better tunneling …
operational parameters, so that the shield machine can achieve better tunneling …
[HTML][HTML] Geological information prediction for shield machine using an enhanced multi-head self-attention convolution neural network with two-stage feature extraction
Due to the closed working environment of shield machines, the construction personnel
cannot observe the construction geological environment, which seriously restricts the safety …
cannot observe the construction geological environment, which seriously restricts the safety …
Rock mass type prediction for tunnel boring machine using a novel semi-supervised method
Tunnel boring machine is extremely sensitive to geological changes, and the accurate
prediction of geological conditions ahead of the tunnel face is helpful for safe and efficient …
prediction of geological conditions ahead of the tunnel face is helpful for safe and efficient …
Optimization of site-exploration programs for slope-reliability assessment
Site investigation through boreholes, such as vane shear tests or cone penetration tests,
provides an effective means to assess the performance of geotechnical sites. Boreholes …
provides an effective means to assess the performance of geotechnical sites. Boreholes …
Geology prediction based on operation data of TBM: Comparison between deep neural network and soft computing methods
Tunnel boring machine (TBM) is a complex engineering system widely used for tunnel
construction. In view of the complicated construction environments, it is necessary to predict …
construction. In view of the complicated construction environments, it is necessary to predict …
Risk-based methodology to optimize geotechnical site investigations in tunnel projects
The scope of geotechnical investigations in tunnel projects is generally driven by the
allocated resources rather than the expected variability in the ground conditions …
allocated resources rather than the expected variability in the ground conditions …
Optimal adaptive decision rules in geotechnical construction considering uncertainty
To design a geotechnical engineering structure optimally, an iterative decision-making
process is required due to the prevailing uncertainty of the ground conditions. At present …
process is required due to the prevailing uncertainty of the ground conditions. At present …
Comparative Analysis of Slope Stability for Kalimpong Region under Dynamic Loading Using Limit Equilibrium Method and Machine Benchmark Learning Classifiers
Significant slope destabilisation may become more likely due to the speed at which
urbanisation is occurring, as well as the growing necessity for geoengineering initiatives or …
urbanisation is occurring, as well as the growing necessity for geoengineering initiatives or …
[HTML][HTML] Assessment on the geological engineering properties of Riyadh's carbonate bedrock (Saudi Arabia)
M Cueto, L Pando, C López-Fernández… - Journal of King Saud …, 2022 - Elsevier
Nowadays global urbanization, increasingly trending towards megacities worldwide, is
putting pressure on the underground environment. Consequently, a need to shed light on …
putting pressure on the underground environment. Consequently, a need to shed light on …
Decision Analysis Applied to Natural Hazards
HH Einstein, RL Sousa - International Probabilistic Workshop, 2021 - Springer
Formal methods to handle decision-making under uncertainty that have been created for
business management lend themselves to applications in many other areas, in which …
business management lend themselves to applications in many other areas, in which …