A5101592800- Rock Mechanics and Modeling
- Mineral Processing and Grinding
- Tunneling and Rock Mechanics
- Geoscience and Mining Technology
- Structural Response to Dynamic Loads
- Tailings Management and Properties
- Geotechnical Engineering and Underground Structures
- Geotechnical and Geomechanical Engineering
- Occupational Health and Safety Research
- High-Velocity Impact and Material Behavior
- Landslides and related hazards
- Geotechnical Engineering and Analysis
- Structural Health Monitoring Techniques
- Geophysical Methods and Applications
- Risk and Safety Analysis
- Blasting Impact and Analysis
- Mining Techniques and Economics
- Geotechnical Engineering and Soil Stabilization
- Dam Engineering and Safety
- Underground infrastructure and sustainability
- Drilling and Well Engineering
- Quality and Safety in Healthcare
- Geotechnical Engineering and Soil Mechanics
- Seismic Imaging and Inversion Techniques
- Decision-Making and Behavioral Economics
Central South University
2016-2025
Seventh People's Hospital of Shanghai
2022
Tongling Nonferrous Metals Group Holding (China)
2011
Ground settlements above a tunnel as result of construction can be predicted with the help input variables that have direct physical significance. Several empirical and artificial intelligence methods for estimating ground been established by researchers. However, these some limitations because large number influential factors involved makes tunnel–ground interaction complicated. In this work, random forest (RF) was developed employed to predict tunnels. To achieve goal, geometry, geological...
Earthquakes have always attracted civil and geotechnical engineers' attention, especially when it comes to the liquefaction potential of soil. This paper investigates feasibility classifier based on stochastic gradient boosting (SGB) explore from actual cone penetration test (CPT) standard (SPT) field data. SGB is composed many classification regression trees which meet mechanism ensemble learning show strong predictive power compared with conventional statistical models in several...
Most mines choose the drilling and blasting method which has characteristics of being a cheap efficient to fragment rock mass, but blast-induced ground vibration damages surrounding mass structure is drawback. To predict, analyze control vibration, random forest (RF) model, Harris hawks optimization (HHO) algorithm Monte Carlo simulation approach were utilized. A database consisting 137 datasets was collected at different locations around Tonglvshan open-cast mine, China. Seven variables...
The stability of cemented paste backfill (CPB) is threatened by dynamic disturbance, but the conventional low strain rate laboratory pressure test has difficulty achieving this research purpose. Therefore, a split Hopkinson bar (SHPB) was utilized to investigate high compressive behavior CPB with loads 0.4, 0.8, and 1.2 MPa. And failure modes were determined macro micro analysis. different cement-to-tailings ratios, solid mass concentrations, curing ages prepared conduct SHPB test. results...
Owing to the complex features of blasting vibration damage assessment systems, a gradient boosted machine (GBM) model is developed for classification residential structure (RSD) due vibrations open pit mining. Twelve indicators are defined as indices prediction RSD in proposed model. These are: peak particle velocity, dominant frequency, frequency duration, distance, maximum safe charge per delay, compressive strength mortar joints, ratio brick area house area, height house, roof structures,...
The charge structure is an important factor in the adjustment of energy distribution explosives and control blasting effect, especially underground large-diameter longhole, for interval millisecond design. To achieve a reasonable structure, multi-planar detection optimization (MDO) algorithm structures proposed based on Harries mathematical model superposition method. vector size fragment transformed into scalar ruler, definition spatial non-uniformity evaluation used MDO algorithm. A...
To reduce the difficulty of obtaining unconfined compressive strength (UCS) value fiber-reinforced cemented paste backfill (CPB) and analyze comprehensive impact conventional fiber variables on property, a new artificial intelligence model was proposed by combining newly invented meta-heuristics algorithm (salp swarm algorithm, SSA) extreme learning machine (ELM) technology. Aiming to test reliability that model, 720 UCS tests with different cement-to-tailing mass ratio, solid concentration,...
Ensuring the mechanical performance of backfill materials while reducing cementation costs is a key challenge in mine research. To address this, fiber such as polypropylene (PP) and rice straw (RS) have been incorporated into cement-based mixtures for backfilling. This study investigates effects PP RS fibers on properties, flow characteristics, microstructure Tailings Wasted Stone Mixed Backfill (TWSMB). A series orthogonal experiments were designed to evaluate influence variables, including...