Application and prospect of hard rock TBM for deep roadway construction in coal mines
X Huang, Q Liu, K Shi, Y Pan, J Liu - Tunnelling and Underground Space …, 2018 - Elsevier
With increasing coal mining intensity, the number, length and depth of coal mine roadways
is increasing drastically, the traditional drill-&-blast method and comprehensive mechanized …
is increasing drastically, the traditional drill-&-blast method and comprehensive mechanized …
Supervised machine learning techniques to the prediction of tunnel boring machine penetration rate
Predicting the penetration rate is a complex and challenging task due to the interaction
between the tunnel boring machine (TBM) and the rock mass. Many studies highlight the …
between the tunnel boring machine (TBM) and the rock mass. Many studies highlight the …
An optimized system of GMDH-ANFIS predictive model by ICA for estimating pile bearing capacity
The pile bearing capacity is considered as the most essential factor in designing deep
foundations. Direct determination of this parameter in site is costly and difficult. Hence, this …
foundations. Direct determination of this parameter in site is costly and difficult. Hence, this …
Slope stability classification under seismic conditions using several tree-based intelligent techniques
Slope stability analysis allows engineers to pinpoint risky areas, study trigger mechanisms
for slope failures, and design slopes with optimal safety and reliability. Before the …
for slope failures, and design slopes with optimal safety and reliability. Before the …
A new development of ANFIS–GMDH optimized by PSO to predict pile bearing capacity based on experimental datasets
Prediction of ultimate pile bearing capacity with the aid of field experimental results through
artificial intelligence (AI) techniques is one of the most significant and complicated problem …
artificial intelligence (AI) techniques is one of the most significant and complicated problem …
[HTML][HTML] Friction behavior and wear mechanism of laser cladded FeNiCr-WC composite coatings in comparison with different friction pairs
L Chen, Y Lan, Y Cheng, J Zeng, Y Ma, S Yu… - Journal of Materials …, 2024 - Elsevier
Complex formation structures lead to significant differences in the failure mechanisms of
hobs. WC-reinforced medium entropy composite coatings exhibit excellent comprehensive …
hobs. WC-reinforced medium entropy composite coatings exhibit excellent comprehensive …
Optimization of SVR functions for flyrock evaluation in mine blasting operations
J Huang, J Xue - Environmental Earth Sciences, 2022 - Springer
This study introduces a new model to determine the critical flyrock event in mines. The
flyrock was predicted and optimized using a field database including six parameters and …
flyrock was predicted and optimized using a field database including six parameters and …
Forecasting of TBM advance rate in hard rock condition based on artificial neural network and genetic programming techniques
The efficiency of tunnel boring machine (TBM) is regarded as a key factor in successfully
undertaking any mechanical tunneling project. In fact, an accurate forecasting of TBM …
undertaking any mechanical tunneling project. In fact, an accurate forecasting of TBM …
Applying a meta-heuristic algorithm to predict and optimize compressive strength of concrete samples
The successful use of fly ash (FA) and silica fume (SF) materials has been reported in the
design of concrete samples in the literature. Due to the benefits of using these materials …
design of concrete samples in the literature. Due to the benefits of using these materials …
Study of rock-cutting process by disc cutters in mixed ground based on three-dimensional particle flow model
With the increasing number of long tunnelling and urban subway constructions, mixed-face
ground conditions are frequently encountered. Rock fragmentation mechanism under disc …
ground conditions are frequently encountered. Rock fragmentation mechanism under disc …