A5062177106- Rock Mechanics and Modeling
- Numerical methods in engineering
- Concrete and Cement Materials Research
- Geotechnical Engineering and Underground Structures
- Geophysical Methods and Applications
- Optical Network Technologies
- Geotechnical Engineering and Analysis
- Infrastructure Maintenance and Monitoring
- Fire effects on concrete materials
- Concrete Properties and Behavior
- Engineering Structural Analysis Methods
- Geotechnical Engineering and Soil Stabilization
- Coal and Its By-products
- Dam Engineering and Safety
- COVID-19 epidemiological studies
- Fluid Dynamics Simulations and Interactions
- Pregnancy and preeclampsia studies
- Data-Driven Disease Surveillance
- Microbial Applications in Construction Materials
- Fatty Acid Research and Health
- Photonic Crystal and Fiber Optics
- Inflammasome and immune disorders
- Advanced materials and composites
- Building materials and conservation
- Composite Material Mechanics
Hebei University of Technology
2025
Hohai University
2015-2024
Southern Medical University
2024
Changchun Institute of Optics, Fine Mechanics and Physics
2023
Chinese Academy of Sciences
2023
University of Chinese Academy of Sciences
2023
Shanghai Jiao Tong University
2020-2022
University of Edinburgh
2022
University of California, Irvine
2018-2020
Irvine University
2018-2020
Concrete structures in cold regions are exposed to cyclic freezing and thawing environment, leading degraded mechanical fracture properties of concrete due microstructural damage. While the X-ray micro-/nano-computed tomography technology has been implemented directly observe microstructure characterize local damage recent years, freeze-thawed evolution processes its effect on overall performance not well understood. In this paper, nano-computed micro-scale cohesive zone model combined...
Metal-based nanoparticles serve as critical catalysts in reactions, such hydrogen evolution and oxygen reduction, with their catalytic activity strongly influenced by particle size due to the higher density of active sites smaller particles. Current techniques for nanoparticle characterization often rely on costly complex instrumentation, limiting efficiency. Here, we present "LSV2NP", an innovative machine learning approach leveraging gradient boosting regression (GBR) model predict sizes...
Lactation women, a highly concerned demographic in society, face health risks that deserve attention. Zinc oxide nanoparticles (ZnO NPs) are widely utilized food and daily products due to their excellent physicochemical properties, leading the potential exposure of lactating women ZnO NPs. Hence, assessing associated with NP during lactation is critical. While studies have confirmed NPs can induce toxic responses multiple organs through blood circulation, effects lactational on mammary...
In this paper, an element-based deep learning approach named DeepFEM for solving nonlinear partial differential equations (PDEs) in solid mechanics is developed to reduce the number of sampling points required training neural network. Shape functions are introduced into approximate displacement field within element. A general scheme network based on derivatives computed from shape proposed. For sake demonstrations, vibration, bending, and cohesive fracture problems solved, results compared...
Water leakage is a critical factor reflecting the structural safety of shield tunnels. Computer vision provides new opportunities to overcome shortcomings manual visual inspection and realize automatic detection water regions. In this study, we propose segmentation model with an encoder–decoder structure. The encoder adopts multi-branch convolutional attention for feature fusion, decoder lightweight design that only contains multi-layer perceptron. Standard convolution in decomposed two...
This paper aims to evaluate the economic and safety performance of a ship's lock head under maintenance conditions. The geometric mesh descriptions are presented for finite element analysis. A multi-objective structural optimization model is established based on ship volume maximum principal tensile stress. Thirty-four parameters distinguished as design variables optimization. There three types constraints considered in simulation calculations. whale algorithm then used deal with problem....
Hydraulic structures, such as shiplocks, are typically surrounded by backfills, leading to various contact interactions between the backfills and outer surfaces of structures.To investigate evolution contacts under different loading conditions across entire structure explore influences on stress distributions shiplock soil, three-dimensional numerical analysis was conducted lock head a shiplock, considering scenarios interactions.Results show that, opening areas displacements vary...
Abstract Background Short-term prediction of COVID-19 epidemics is crucial to decision making. We aimed develop supervised machine-learning algorithms on multiple digital metrics including symptom search trends, population mobility, and vaccination coverage predict local-level growth rates in the UK. Methods Using dynamic based log-linear regression, we explored optimal models for 1-week, 2-week, 3-week ahead rate at lower tier local authority level over time. Model performance was assessed...
Subjected to construction situations, engineers of some lock head projects do not perform adiabatic temperature rising test determine thermal parameters concrete. To solve this problem, paper proposed an inverse analysis method based on BP neural networks. Firstly, combinations concrete were constructed uniform design theory and FEM(finite element method) analyses field using these performed generate a series samples. Then network was trained by After entering the measured temperature, would...
In this Letter, we present a novel, to the best of our knowledge, image-based approach analyze mode control ability photonic lantern employed in diode laser beam combining, aiming achieve stable output. The proposed method is founded on theories power flow and coupling validated through experiments. findings demonstrate that analysis combining process highly reliable when main component output light fundamental mode. Moreover, it experimentally demonstrated performance significantly...
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