- Dam Engineering and Safety
- Rock Mechanics and Modeling
- Landslides and related hazards
- Geotechnical Engineering and Analysis
- Hydraulic flow and structures
- Hydrology and Sediment Transport Processes
- Simulation and Modeling Applications
- Grouting, Rheology, and Soil Mechanics
- Geoscience and Mining Technology
- Safety and Risk Management
- Geotechnical Engineering and Underground Structures
- Geophysical Methods and Applications
- Civil and Geotechnical Engineering Research
- Criminal Law and Evidence
- Evaluation and Optimization Models
- Advanced Decision-Making Techniques
- Hydrological Forecasting Using AI
- Advanced Sensor and Control Systems
- Advanced Measurement and Detection Methods
- Research studies in Vietnam
- Concrete Properties and Behavior
- Concrete and Cement Materials Research
- Advanced Computational Techniques and Applications
- Environmental Changes in China
- Crime, Illicit Activities, and Governance
Nanjing Hydraulic Research Institute
2016-2025
State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering
2015-2025
Hubei University of Automotive Technology
2021-2025
Beijing University of Technology
2013-2024
The University of Texas at Arlington
2020-2023
Ministry of Water Resources of the People's Republic of China
2018
Hohai University
2008-2018
Jiangsu Normal University
2018
Dalian Naval Academy
2014-2016
Naval Academy
2016
Several concrete dams all over the world exhibit severe cracks. It is very important to investigate influence of cracks on long-term behavior dam structures ensure safe operation. The interpretation measured displacements usually based statistical hydrostatic-seasonal-time and hydrostatic-thermal-time models. main purpose this article present a hydrostatic-thermal-crack-time model interpret arch with influential horizontal applied analyze Chencun dam, an arch–gravity large-scale crack...
Water pipelines in water diversion projects can leak, leading to soil deformation and ground subsidence, necessitating research into monitoring technology. This study conducted model tests monitor around leaking buried using distributed fiber optic strain sensing (DFOSS) technology based on optical frequency domain reflectometry (OFDR). By arranging measurement fibers a pipe–soil model, we investigated how leak location, size, pipe burial depth, flow velocity affect field results. The...
ABSTRACT This study examines regional new energy vehicle (NEV) industry efficiency across 26 Chinese provinces, addressing the need for deeper insights into spatiotemporal patterns and configurational pathways influencing NEV development. By employing data envelopment analysis (DEA) to measure efficiency, exploratory spatial (ESDA) explore clustering, fuzzy‐set qualitative comparative (fsQCA) investigate configuration‐based pathways, this research provides a nuanced understanding of how...
For a dam system, its effect quantities of different observed points are related absolutely. To identify evolution tendency it is necessary to find the inherent regularity using time series from available multi-source data. Rescaled range analysis ( R/ S analysis) and fractal theory have been recognized as important tools assist in solving problems internal correlations many fields. In this article, were combined obtain data, variation was processed quantitatively. By means building global...
Dam seepage is monitored based on the character of concealment, temporal-dimensional randomness. This paper gives analysis relativity and coupling problem between fields dam temperature. The principle, method, implementation technology monitoring elucidated distributed optical fiber temperature system. applied in actual project application effect analyzed evaluated.
Anomaly can provide valuable information for dam safety monitoring. In this paper, a methodology integrating dynamic time warping and local outlier factor to identify anomalies of series on various scales is proposed. The main steps the are introduced in detail. First, measured preprocessed using moving average normalization, respectively, eliminate influence random amplitude variations. Following this, independent variables (predictors) selected as templates calculate distances global...
Purpose The purpose of this study is to develop and verify a methodology for zoned deformation prediction model super high arch dams, which indeed panel data-based regression with the hierarchical clustering on principal components. Design/methodology/approach method used highlight main features time series. This select typical points measured ambient concrete temperatures as predictors divide observation into groups. Based this, data each zone can be established, its type judged using F...
Although statistical models are efficient in most cases to analyze concrete dam displacements, these built on several hypotheses, leading uncertainties especially for special periods. The models, improving estimations of the non-stationary thermal and non-monotonic time-dependent effects, proposed displacements high arch dams during their initial impoundment periods this paper. hierarchical clustering principal component analysis is developed divide thermometers into groups choose...
The 50-year design reference period is coming to an end for many dam projects in China. In the last decade, it has become clear that remaining service life analysis of existing dams must be used optimally manage growing number aging and deteriorating structures. uncertainties associated with require use probabilistic methods properly assess their lifetime performance. A system involves multiple failure modes; however, conventional assessment prediction models often neglect correlations among...
Based on the observed temperature information of arch dam, mathematical and mechanical methods are combined usually with dam engineering theory to capture in real time evaluate developing status space-time distribution temperature, implement back analysis for control measures. It is an important step construction safe operation. Some methods, namely transient temperature-field simulation, thermodynamic parameters back-calculation, model correction, used synthetically solve above problem. A...
The leakage amount is an important indicator evaluating the seepage behavior of a dam. Due to complex behavior, crack development judgment and identification for concrete gravity dams remain challenging task. paper concerned with comprehensive investigation problems penetrating cracks. A case study on Shimantan Reservoir Dam was taken examine utilization method. Deficiency investigations were undertaken identify nature sources defects responsible serious leakage. Based information acquired...
Due to the complexity and uncertainty of geological conditions, a comprehensive investigation method is proposed identify main causes sudden increases uplift pressures beneath local blocks gravity dam, which integrated statistical analyses in situ seepage observations, inversion fields using numerical method, field investigations. To fully natural condition foundation after several years operation, investigations, including core borings, water-pressure tests, borehole television imaging, are...
The rock foundation of a gravity dam is usually cut into slide blocks by the structural surfaces. Its stability controlled characteristics and combining action these failure can be caused destruction or large deformation local rocks under condition certain loads. coupling continuous-discontinuous typical characteristic process. As new design idea, powerhouse are combined an integer with one pattern to improve antisliding dam. external loads undertaken together acting on transferred partly...
SUMMARY Numerical simulation methods are extensively used to analyze the stress and displacement of concrete‐faced rockfill dams (CFRD). The results these influenced by fuzzy factors, i.e. geometric features, material properties, loads boundary conditions, which exist widely in engineering CFRD as a kind commonly uncertain factor. To solve this problem, information entropy theory conventional method structure analysis, namely, finite element (FEM), were combined work. Information entropy, an...