A5040329133- Rock Mechanics and Modeling
- Tunneling and Rock Mechanics
- Geotechnical Engineering and Underground Structures
- Drilling and Well Engineering
- Civil and Geotechnical Engineering Research
- Advanced Chemical Sensor Technologies
- Geotechnical Engineering and Analysis
- Grouting, Rheology, and Soil Mechanics
- Structural Engineering and Vibration Analysis
- Adhesion, Friction, and Surface Interactions
- Geoscience and Mining Technology
- Gas Sensing Nanomaterials and Sensors
- Landslides and related hazards
- Insect Pheromone Research and Control
- Geotechnical Engineering and Soil Stabilization
- Mineral Processing and Grinding
- Dam Engineering and Safety
- Advanced Clustering Algorithms Research
- Seismic Waves and Analysis
- Metal and Thin Film Mechanics
- Seismic Imaging and Inversion Techniques
- Tribology and Lubrication Engineering
- Tribology and Wear Analysis
- Data Mining Algorithms and Applications
- Geomechanics and Mining Engineering
Wuhan University
2020-2024
City University of Hong Kong
2024
Hohai University
2024
China University of Mining and Technology
2016-2022
Hangzhou Institute of Applied Acoustics
2022
Jilin Jianzhu University
2013-2020
New Jersey Institute of Technology
2019-2020
University of California, Berkeley
2008-2018
Tianjin University
2017
Chongqing University
2013-2016
Based on data from the Jilin Water Diversion Tunnels Songhua River (China), an improved and real-time prediction method optimized by multi-algorithm for tunnel boring machine (TBM) cutter-head torque is presented. Firstly, a function excluding invalid abnormal established to distinguish TBM operating state, feature selection based SelectKBest algorithm proposed. Accordingly, ten features that are most closely related selected as input variables, which, in descending order of influence,...
Engineering disasters, such as rockburst and collapse, are closely related to structural instability caused by insufficient bearing capacity of geological materials. Uniaxial compressive strength (UCS) holds considerable significance in rock engineering projects. Consequently, this study endeavors devise efficient models for the expeditious economical estimation UCS. Using a dataset 729 samples, including Schmidt hammer rebound number, P-wave velocity, point load index data, we evaluated six...
Constant sensor-heating voltage is commonly used in electronic nose, such that multiple sensors should be integrated as a sensor array order to differentiate odor analytes. However, supplying constant heating for each cannot provide rich pattern information, resulting high cost and weak capability of an E-nose detection. To address this issue, paper aims at introducing optimal temperature modulation technique gas achieving low-cost, fast, accurate The contributions include: 1) the modulated...
Artificial olfaction data are usually represented by a sensor array embedded in an electronic nose system (E-Nose), such that each observation can be expressed as feature vector for pattern recognition. The concerns of this paper threefold: multiple different modalities; manual labeling sensory real application is difficult and hardly impossible, which results issue insufficient labeled data; classifier learning generally independent engineering, the recognition capability E-Nose restricted...
Uniaxial compressive strength (UCS) is a critical parameter in the disaster prevention of engineering projects, requiring large budget and long time to estimate different rocks or early stage project. If predicted accurately, UCS significantly affects geotechnical applications. This paper develops dataset 734 samples from previous studies on countries’ magmatic, sedimentary, metamorphic rocks. Within study context, three main factors, point load index, P-wave velocity, Schmidt hammer rebound...
The mechanical parameters of surrounding rock are an essential basis for roadway excavation and support design. Aiming at the difficulty in obtaining large experimental errors, optimized BP neural network model is proposed this paper. mind evolutionary algorithm can adequately search optimal initial weights thresholds, while has advantage strong nonlinear prediction ability. So, (MEA-BP model) takes two models. It not only avoid local extreme value problem but also improve accuracy...
With the rapid development of China's economy, more and long-deep tunnels are under construction, especially in mountainous area western China karst areas [1-2], which pose a great challenge for tunnel engineering.Long-deep always buried complex geological conditions with high geo-stress, water pressure, strong geology, construction disturbance [3].Additionally, it is quite difficult to make