A5045591858- Seismic Performance and Analysis
- Structural Engineering and Vibration Analysis
- Structural Health Monitoring Techniques
- Geotechnical Engineering and Underground Structures
- Winter Sports Injuries and Performance
- Structural Behavior of Reinforced Concrete
- Advanced ceramic materials synthesis
- Rock Mechanics and Modeling
- Sports Performance and Training
- High-Temperature Coating Behaviors
- Muscle activation and electromyography studies
- Structural Response to Dynamic Loads
- Vibration and Dynamic Analysis
- Landslides and related hazards
- Geomechanics and Mining Engineering
- Concrete and Cement Materials Research
- Innovations in Concrete and Construction Materials
- Geoscience and Mining Technology
- Metal and Thin Film Mechanics
- Innovative concrete reinforcement materials
- Civil and Geotechnical Engineering Research
- Hydrogen Storage and Materials
- Advanced Sensor and Energy Harvesting Materials
- Aluminum Alloys Composites Properties
- Polymer Foaming and Composites
Hunan University
2011-2025
China Earthquake Administration
2007-2024
Heilongjiang Earthquake Agency
2024
Guangzhou University
2022
China Railway First Survey and Design Institute Group Co. Ltd.
2021
Southwest Jiaotong University
2021
China Railway Fifth Survey and Design Institute Group
2021
Tsinghua University
1998-2020
Tongji University
2011-2012
State Key Laboratory of New Ceramics and Fine Processing
2012
Cold spraying (CS), also known as cold gas dynamic or supersonic spraying, is a process in which particles collide with the substrate at speed greater than critical value and deposit layer by to form coating. As an emerging coating preparation technology that has been developed rapidly recent years, CS characterized low deposition temperature, minimal thermal effect on substrate, high efficiency. It received extensive attention from industry. However, inherent strength plasticity of coatings...
ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTCarbon-13 exchange maps for the elucidation of chemical networksY. Huang, S. Macura, and R. ErnstCite this: J. Am. Chem. Soc. 1981, 103, 18, 5327–5333Publication Date (Print):September 1, 1981Publication History Published online1 May 2002Published inissue 1 September 1981https://pubs.acs.org/doi/10.1021/ja00408a008https://doi.org/10.1021/ja00408a008research-articleACS PublicationsRequest reuse permissionsArticle Views150Altmetric-Citations67LEARN...
Purpose This paper aims to optimize cable-stayed force in asymmetric one-tower bridge formation using an improved particle swarm algorithm. It compares results with the traditional unconstrained minimum bending energy method. Design/methodology/approach proposes algorithm formation. formulates a quadratic programming mathematical model considering sum of energies main girder and tower as objective function. Constraints include displacements, stresses, force, uniformity. The is applied...
An MS 7.4 earthquake struck China Maduo County in 2021, and it was a typical strike-slip rupture with clear directionality. A near-fault bridge named as the Yematan No.2 Bridge suffered severe seismic damage earthquake. To analyze mechanism of Bridge, detailed finite element model upline downline established this study. coupled effects soil liquefaction, traveling wave effects, inertial forces, to make numerical simulation results better reflect structural responses under real-site...
Purpose This paper aims to update the finite element model of a pre-stressed concrete continuous girder bridge using back propagation neural network optimized by improved mind evolutionary algorithm (IMEA). Design/methodology/approach In this paper, we introduce particle swarm optimization in convergence process (MEA) and then dynamically adjust inertia weights moving speed through nonlinear decreasing strategy, which is used solve drawback algorithm’s arbitrarily initialized population....
When an earthquake occurs, railway bridges will suffer from different degrees of seismic damage, and it is necessary to assess the risk bridges. Unfortunately, majority studies were done on highway without taking into account bridge characteristics; hence they are not applicable Furthermore, current research methods for assessment cannot be performed quickly, problems subjective personal experience, complicated calculations, time-consuming. This paper we use machine learning damage...
Probabilistic seismic demand model (PSDM) is one of the critical components performance‐based earthquake engineering frameworks. The aim this study to propose a procedure generate PSDMs for typical regular continuous‐girder bridge subjected far and near‐fault ground motions (GMs) utilizing machine‐learning methods. A series nonlinear time history analyses (NTHAs) carried out calculate damage caused by GMs four different site conditions, 21 intensity measures (IMs) are considered....