- Infrastructure Maintenance and Monitoring
- Asphalt Pavement Performance Evaluation
- Electrochemical sensors and biosensors
- Multimodal Machine Learning Applications
- Innovations in Concrete and Construction Materials
- Spam and Phishing Detection
- Sentiment Analysis and Opinion Mining
- Human Pose and Action Recognition
- Chemical Synthesis and Reactions
- Concrete and Cement Materials Research
- Advanced Measurement and Metrology Techniques
- Smart Materials for Construction
- Domain Adaptation and Few-Shot Learning
- Advanced Nanomaterials in Catalysis
- Advanced biosensing and bioanalysis techniques
- Nanomaterials for catalytic reactions
- Covalent Organic Framework Applications
- Water Systems and Optimization
- Petroleum Processing and Analysis
- Innovative concrete reinforcement materials
- Optical Systems and Laser Technology
- Optical measurement and interference techniques
- Polyoxometalates: Synthesis and Applications
- Network Security and Intrusion Detection
- Catalysis for Biomass Conversion
Beijing University of Chemical Technology
2016-2017
Nanomaterials have a great potential for enhancing the performance of base asphalt binder. This study aims to promote application nano-TiO2/CaCO3 in bitumen and presents on rheological properties TiO2/CaCO3 nanoparticle-bitumen. In this study, series laboratory experiments been performed with different dosages. Nano-TiO2/CaCO3-modified optimum dosage was prepared viscosity, dynamic shear rheometer (DSR), beam bending (BBR) assessing temperature sensitivity bitumen,...
2,5-Furandicarboxylic acid (FDCA) is a value added chemical that can be used as polymer building block for the synthesis of biobased polymers.
Asphalt mixture proportion design is one of the most important steps in asphalt pavement and application. This study proposes a novel multi-objective particle swarm optimization (MOPSO) algorithm employing Gaussian process regression (GPR)-based machine learning (ML) method for multi-variable, multi-level problems with multiple constraints. First, GPR-based ML proposed to model objective constraint functions without explicit relationships between variables objectives. In step, metaheuristic...
In the seasonal frozen area of northeast China, cement concrete is usually in a working environment cold climate and chlorine erosion coupling effect. general, with reasonable addition air entraining agent (AEA) multimineral admixtures such as fly ash, blast furnace slag, silica fume, durability under effects freeze‐thaw salt solution can be significantly improved regions. However, due to several more compositions multiple mineral admixtures, it would take excessive trial mixtures select...
Automobile exhaust pollution is a serious problem that restricts urban development, and it poses threat to people’s lives health even the climate. At present, treatment of automobile has attracted attention, numerous works have been focused on thereafter. The purpose present study drive TiO 2 nanoparticles application into pavement, an experimental investigation performances purification asphalt its mixture modified by nano‐TiO . In this work, series rheometer properties pavement were...
Catalysts supported on nanomaterials have been widely investigated for the treatment of hazardous materials. This work has developed a novel method grafting hematin catalyzing oxidation aniline in order to remove from wastewater. Magnetic multi-walled carbon nanotubes (M-MWCNTs) were coated with layer formed through hydrolysis and condensation 3-mercaptopropyltriethoxysilane (MPTS). Hematin was specifically grafted MPTS-coated M-MWCNTs thiol-alkene reaction. Hematin-MPTS-M-MWCNTs used...
Cerium coordination polymer (CeCP) was synthesized with 1,3,5-benzenetricarboxylic acid as the ligand. By using carboxyl groups on surface of CeCP anchors, platinum nanoparticles were formed forming composite CeCP@Pt. The characterized by measuring TEM images, and EDS XPS spectra. CeCP@Pt used to catalyze oxidation 3,3,5,5-tetramethylbenzidine in presence H2O2. activity assay demonstrated that exhibited an similar horseradish peroxidase, but a much higher activity. utilized detect...
Abstract With the rapid growth of Internet, it has become easy to obtain new data for many application domains. However, when adding current system artificial neural networks (ANNs) learn, can cause network completely forget what learned before, which is called catastrophic forgetting. The main reason these problems inability ANNs balance classes with old ones. Therefore, address challenge learning knowledge while not suffering from forgetting, some incremental algorithms have been proposed...