- Concrete and Cement Materials Research
- Crystallization and Solubility Studies
- X-ray Diffraction in Crystallography
- Innovative concrete reinforcement materials
- Adsorption and biosorption for pollutant removal
- Corrosion Behavior and Inhibition
- Antimicrobial agents and applications
- Magnesium Oxide Properties and Applications
- Nanomaterials for catalytic reactions
- Membrane Separation Technologies
- Concrete Properties and Behavior
- Hydrogen embrittlement and corrosion behaviors in metals
- Microbial Applications in Construction Materials
- Minerals Flotation and Separation Techniques
- Coagulation and Flocculation Studies
- Advanced Polymer Synthesis and Characterization
- Concrete Corrosion and Durability
- Advanced Photocatalysis Techniques
- Infrastructure Maintenance and Monitoring
- High-Temperature Coating Behaviors
- Ferroptosis and cancer prognosis
- Covalent Organic Framework Applications
- Extraction and Separation Processes
- Recycling and utilization of industrial and municipal waste in materials production
- Asphalt Pavement Performance Evaluation
Xi’an University
2022-2025
Xi'an University of Technology
2022-2025
Chongqing University
2021-2024
Central South University
2020-2024
China Geological Survey
2024
Shandong Electric Power Engineering Consulting Institute Corp
2023
China Power Engineering Consulting Group (China)
2023
East China University of Science and Technology
2023
China University of Mining and Technology
2023
Chongqing Three Gorges University
2023
Crystalline admixture (CA) is an effective self-healing agent for mortar. However, the effects of crack parameters (i.e. width and cracking age) service environment on behavior CA-containing mortar are not well understood. Herein, containing a self-developed CA was assessed by testing strength recovery, impermeability closure in pre-cracked specimens. Three initial widths (0.2, 0.3, 0.4 mm), five ages (3, 7, 14, 28, 56 days), four external exposure conditions (humidity chamber, air exposure,...
Recommending cold items is a long-standing challenge for collaborative filtering models because these lack historical user interactions to model their features. The gap between the content of and behavior patterns makes it difficult generate accurate behavioral embeddings items. Existing cold-start use mapping functions fake based on feature However, generated have significant differences from real embeddings, leading negative impact recommendation performance. To address this challenge, we...
Introduction Solar photovoltaic (PV) power generation, a crucial part of global renewable energy, has been advancing swiftly. However, effective promotion PV generation relies not only on enhancing efficiency but also thorough evaluations construction suitability. This study addresses this gap by developing comprehensive evaluation framework for assessing the suitability station locations in China. Methods research developed subjective-objective that integrates Analytic Hierarchy Process...
Thickness of thermal barrier coating (TBC) plays an important role in the insulation property coating. Eddy current (EC) testing could be used to measure thickness ceramic (TC) for TBCs. However, previous EC has made it difficult decouple relationship between TC, bond (BC), and substrate. In this study, accurate simple method TC measurement is proposed based on mutual inductance transformer model, which immune BC First, system analyzed using model. Second, formulated with Neumann formula...
The global epidemiological data on congenital hearing loss in children is sparse. We aimed to analyse the trends burden of complete caused by birth defects younger than five years from 1990 2030.Using Global Burden Disease (GBD) Study 2019, we reported counts and rates prevalence lived with disability (YLD) age, sex, sociodemographic index (SDI). also forecasted until 2030 through autoregressive integrated moving average (ARIMA) Bayesian age-period-cohort (BAPC) models.We observed a rate...
Abstract The inclusion of crystalline admixture (CA) is a highly effective method for enhancing the self-healing properties mortar. This study examined complexing abilities different agents under varying temperatures, pH levels, and ion species in order to select diverse environments, as play crucial role CAs. After determining type agent, an orthogonal array design was used optimize components CA, strengthening mechanism CA mortar discussed through microstructure analysis. results showed...