A5100728717- Metal and Thin Film Mechanics
- Geoscience and Mining Technology
- Phase Change Materials Research
- Machine Fault Diagnosis Techniques
- Simulation and Modeling Applications
- Diamond and Carbon-based Materials Research
- Coal Properties and Utilization
- Boron and Carbon Nanomaterials Research
- Nanofluid Flow and Heat Transfer
- GaN-based semiconductor devices and materials
- Evaluation and Optimization Models
- Concrete and Cement Materials Research
- Innovative concrete reinforcement materials
- Advanced Manufacturing and Logistics Optimization
- Hydrocarbon exploration and reservoir analysis
- Geomechanics and Mining Engineering
- Non-Destructive Testing Techniques
- Electrochemical sensors and biosensors
- Scheduling and Optimization Algorithms
- Civil and Geotechnical Engineering Research
- Grouting, Rheology, and Soil Mechanics
- Geotechnical Engineering and Analysis
- Reliability and Maintenance Optimization
- Metaheuristic Optimization Algorithms Research
- Dam Engineering and Safety
Wuhan University of Technology
2005-2025
Sanya University
2024-2025
Hohai University
2012-2025
South China Agricultural University
2019-2024
Chinese Academy of Sciences
2013-2024
State Key Laboratory of Robotics
2024
Shenyang Institute of Automation
2024
Shandong Jiaotong University
2011-2024
Guangdong University of Technology
2014-2022
China Design Group (China)
2021
In this paper, effect of nano-CaCO3 (NC) on properties cement paste was studied. Experimental results showed that NC had no water requirement normal consistency cement. However, with the increase content, flowability decreased and setting time fresh shortened. The early hydration activated by NC. strength age shrinkage were also Mechanical experiments indicated flexural compressive hardened increased addition at 7d 28d, optimal content 1%. (12 h) containing 1% most prominent which could...
Remaining useful life (RUL) prediction is a cornerstone of Prognostic and Health Management (PHM) for power machinery, playing crucial role in ensuring the reliability safety these critical systems. In recent years, deep learning techniques have shown great promise RUL prediction, providing more reliable accurate outcomes. However, existing models often struggle with comprehensive feature extraction, especially capturing complex behavior where non-linear degradation patterns arise under...
In this work, a novel method for the disposal of ladle furnace slag (LFS) and soda residue (SR) was proposed. By applying geopolymer technology, LFS SR were used as precursors to manufacture with sufficient fresh mechanical properties that can be in construction works, such non-structural components like lightweight partition walls. The effects raw material ratios Na2O equivalents on properties, microstructure environmental impact LFS-SR (LSG) analyzed by rheology, compressive strength, XRD,...
Smart cement-based materials have the potential to monitor health of structures. The performances composites with various kinds conductive fillers been found be sensitive and stable. However, poor dispersion limits their application. This study adopted coupling agent method attach carbon nanotubes (CNTs) onto surface fibers (CFs). CNT-grafted CFs (CNT-CFs) were as develop a CNT-CF-incorporated cementitious composite (CNT-CF/CC). feasibility this approach was demonstrated through Scanning...
Filling is commonly found in natural cracked rock mass. As the weakest part of rock, filling properties directly affect deformation and strength, permeability, so on safety stability mass engineering. In this study, a single slit has been preset sandstones filled with different physical materials. Based laboratory triaxial seepage test, permeability strength characteristics are analyzed, failure modes obtained. The main findings study as follows: (1) coefficient peak value appears before...
Informed machine learning (IML), which strengthens (ML) models by incorporating external knowledge, can get around issues like prediction outputs that do not follow natural laws and models, hitting optimization limits. It is therefore of significant importance to investigate how domain knowledge equipment degradation or failure be incorporated into achieve more accurate interpretable predictions the remaining useful life (RUL) equipment. Based on informed process, model proposed in this...
According to locally autonomous and remote control modes for a power transmission line inspection robot, an FSM(finite state machine) based motion planning method obstacle navigation is presented.The processes of the robot are divided into several key discrete states,and FSM models established.A fuzzy-based production system offered deducing producing sequences.Simulation field experiments prove that correct valid,and can be applied robot.
The matching design problem of the ship-engine-propeller is a non-linear constrained multi-objective optimization which performed based on multiple objectives,such as system efficiency and life cycle cost. A particle swarm (MOPSO) approach for presented in this paper.A real employed to demonstrate applicability proposed approach.The results indicate that comparison with most algorithms such objective genetic algorithm (MOGA) simple ,efficient operable.