A5079863650- Dam Engineering and Safety
- Hydraulic flow and structures
- Advanced Antenna and Metasurface Technologies
- Electromagnetic wave absorption materials
- Hydrology and Sediment Transport Processes
- MXene and MAX Phase Materials
- Metamaterials and Metasurfaces Applications
- Landslides and related hazards
- Supercapacitor Materials and Fabrication
- Natural Language Processing Techniques
- Advanced Photocatalysis Techniques
- Coding theory and cryptography
- Topic Modeling
- ZnO doping and properties
- Carbon Dioxide Capture Technologies
- Model Reduction and Neural Networks
- Integrated Energy Systems Optimization
- Water Systems and Optimization
- Cryptographic Implementations and Security
- Smart Grid Security and Resilience
- Hydrological Forecasting Using AI
- Chaos-based Image/Signal Encryption
- Electrical and Thermal Properties of Materials
- Research studies in Vietnam
- Video Analysis and Summarization
Nanjing Hydraulic Research Institute
2023-2025
State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering
2016-2023
Shandong University of Science and Technology
2021-2023
Hohai University
2016-2022
Southwest University of Science and Technology
2021
Guilin University of Electronic Technology
2021
State Grid Corporation of China (China)
2020
South China University of Technology
2018
University of Shanghai for Science and Technology
2018
Air Force General Hospital PLA
2018
The unique structures and foundations of a dam make its safety monitoring complex task. As the most intuitive effect dams, deformation contains important information on evolution. Actual response has purpose diagnosis early warning compared with model prediction. Given poor generalization ability conventional statistical model, establishing is thus essential. prediction concrete using random forest regression (RFR) studied. To build an optimized RFR used to establish input variables, select...
Ni@PPy NCs/Ti 3 C 2 T x ternary composites are successfully fabricated by the combination of solvothermal method, hydrothermal method and vacuum-assisted filtration, showing optimum RL min −62.61 dB at 6.82 GHz 2.71 mm.
Dams are the main water retaining structures in hydraulic engineering field. Safe operations of dams important foundations to ensure functionalities these structures. Deformation, as most intuitive feature dams' operation behaviors, can comprehensively reflect dam structural states. In this case, analysis prototype deformation data and establishment a real-time prediction model become frontier research contents field safety monitoring. Considering multi-nonlinear relationships between...
Diffusion policies have achieved superior performance in imitation learning and offline reinforcement (RL) due to their rich expressiveness. However, the vanilla diffusion training procedure requires samples from target distribution, which is impossible online RL since we cannot sample optimal policy, making highly non-trivial RL. Backpropagating policy gradient through process incurs huge computational costs instability, thus being expensive impractical. To enable efficient for RL, propose...
Zeta potential testing, Fourier infrared spectroscopy, and total organic carbon analysis were employed in this manuscript to explore the flocculation mechanism of polyacrylamide (PAM) on slurry with a high content polycarboxylate ether (PCE). Through combination assessments chemical bond shifts, adsorption indicators, intrinsic viscosity high-molecular-weight polymer systems, microscale mechanisms different PAM dosages cement suspensions elucidated, showcasing stages...
Prediction models are essential in dam crack behavior identification. Prototype monitoring data arrive sequentially safety monitoring. Given such characteristic, sequential learning algorithms preferred over batch as they do not require retraining whenever new received. A methodology using the genetic optimized online extreme machine and bootstrap confidence intervals is proposed a practical tool for identifying concrete behavior. First, adopted to build an prediction model of The...
Seepage monitoring is a vital task in the risk management of concrete dams. Considering lag effect input factors, this paper presents novel seepage model for dams and proposes an effective identification method process. Firstly, extreme gradient boosting (XGBoost) were adopted to predict dam seepage. Hybridizing grey wolf optimization (HGWO) which integrates differential evolution (DE) into (GWO) five-fold cross validation utilized optimize hyper-parameters XGBoost. Secondly, under same...
Abstract BACKGROUND Butanol is considered a promising sustainable biofuel to partly replace petroleum‐based fuels. However, become an economically viable biofuel, some challenges need be overcome in the biobutanol production process such as low final product concentration caused by toxicity microorganism. Few separation techniques have been proposed extract situ or ex from dilute fermentation broths. In this investigation, combination of gas stripping and adsorption has studied...
Stormwater ponds, including dry wet ponds and constructed wetlands, have been widely used for sediment removal from stormwater runoff. In this paper, mechanisms, modelling approaches optimization of design are reviewed discussed. The settling velocity discrete particles is introduced compared. Settling distribution should be characterized individual sites the most cost-effective new ponds. Different methods estimating trap efficiency then summarized, empirical models theoretical models....
Dam behavior is difficult to predict due its complexity. At the same time, dam deformation vital systems. Developing a precise prediction model of from prototype data still challenging but determinant in structural safety assessment. In this paper, an artificial neural network (ANN), trained by improved fish swarm algorithm (IAFSA) and backpropagation (BP), proposed for predicting deformation. Initially, crossover operator embedded into AFSA, which aims enhance performance. light influence...
A dam is a complex and important water‐retaining structure. Once the broken, flood will cause immeasurable damage to lives properties of downstream people, so it particularly have risk management. Since dam‐break severe‐consequence low‐frequency event, corresponding fatalities caused by are difficult estimate due lack relevant data poor continuity. This paper analyzes direct indirect factors affecting life loss in failures studies characteristics, distribution rules, membership functions...
Monitoring indexes are significant for real-time monitoring of dam performance in ensuring safe and normal operation. Traditional methods establishing mostly focused on single point displacements, rational based multi-point displacements rare. This study establishes correlation discreteness displacements. The proposed method is applicable when several points show strong correlation. In this study, principal component analysis (PCA) was introduced preprocessing the observations Correlation...
A new approach was developed for the inversion modeling of dam‐zoning elasticity modulus heightened concrete dam, with old and zones. The proposed procedure takes advantage improved cuckoo search (ICS) algorithm particle swarm optimization (IPSO) to adjust mechanical parameters, which are used as input. An objective function is constructed based on horizontal displacement increment by using finite element method (FEM) statistical analysis prototype monitoring data. One ideal arch dam model...