A5055046606- Composite Structure Analysis and Optimization
- Structural Analysis and Optimization
- Nonlocal and gradient elasticity in micro/nano structures
- Structural Behavior of Reinforced Concrete
- Structural Load-Bearing Analysis
- Structural Engineering and Vibration Analysis
- Soil erosion and sediment transport
- Vibration and Dynamic Analysis
- Aeolian processes and effects
- Numerical methods in engineering
- Hydrology and Sediment Transport Processes
- Aeroelasticity and Vibration Control
- Concrete Corrosion and Durability
- Hydrology and Watershed Management Studies
- Dielectric materials and actuators
- Electromagnetic wave absorption materials
- Dental Radiography and Imaging
- Hydrocarbon exploration and reservoir analysis
- Advanced Materials and Mechanics
- AI in cancer detection
- Fire effects on concrete materials
- Seismic Performance and Analysis
- Reservoir Engineering and Simulation Methods
- Tree Root and Stability Studies
- Additive Manufacturing Materials and Processes
Army Medical University
2025
Zhongkai University of Agriculture and Engineering
2019-2024
Shanghai Stomatological Hospital
2024
Fudan University
2024
Beijing Normal University
2011-2024
Jilin Agricultural University
2024
Hong Kong Polytechnic University
2024
Guangxi Zhuang Autonomous Region Brain Hospital
2024
Chengdu Technological University
2024
Geological Exploration Technology Institute of Jiangsu Province
2023
Abstract Functionally graded porous (FGP) nanocomposites are the most promising materials among manufacturing and sector due to their adjustable physical, mechanical, operational properties for distinctive engineering applications maximized efficiency. Therefore, investigating underlying physical materialistic phenomena of such is vital. This research was conducted analyze preparation, fabrication, applications, elastic functionally (FGMs). The investigated both nonporous synthesis, methods...
In this paper, free vibration, modal and stress state analyses of honeycomb sandwich structures with different boundary conditions was investigated major factors affecting the frequencies stiffness due to material or parameter changes were determined. The representative volume element (RVE) method used in work analytically numerically validated by comparing obtained results those available literature. Firstly, unit cell capture entire effects parameters on vibration structure ANSYS. This...
This paper studies the thermomechanical in-plane dynamic instability of asymmetric restrained functionally graded graphene reinforced composite (FG-GRC) arches, where sheets with atom vacancy defects are distributed along arch thickness according to a power law distribution. The temperature-dependent mechanical properties composites determined by genetic programming (GP) assisted micromechanical model. governing equations for derived Hamilton's principle and solved differential quadrature...
This article presents in-plane and out-of-plane free vibration analyses of functionally graded graphene nanoplatelets reinforced composite (FG-GPLRC) arches. The arch is composed multiple layers with (GPLs) that are evenly distributed in each layer but its weight fraction varies layer-by-layer the thickness direction. effective material properties calculated by Halpin-Tsai micromechanics model for Young's modulus rule mixture both mass density Poisson's ratio GPLRC layer. Analytical...
In the present exploration, unconventional tensors of nonlocal stress and couple are incorporated simultaneously in in-plane nonlinear stability analysis functionally graded (FG) multilayer shallow micro/nano-arches under thermomechanical loading conditions. For this purpose, (NCS) mechanics continuum is implemented into third-order shear flexible arch theory incorporating von Karman kinematical nonlinearity. The nanocomposite material FG reinforced with graphene nanofillers accordance...
Soil, a non-renewable resource, requires continuous monitoring to prevent degradation and support sustainable agriculture. Visible-near-infrared (Vis-NIR) spectroscopy is rapid cost-effective method for predicting soil properties. While traditional machine learning methods are commonly used modeling Vis-NIR spectral data, large datasets may benefit more from advanced deep techniques. In this study, based on the library LUCAS, we aimed enhance regression model performance in property...
The buckling behavior of functionally graded graphene platelet-reinforced composite (FG-GPLRC) shallow arches with elastic rotational constraints under uniform radial load is investigated in this paper. nonlinear equilibrium equation the FG-GPLRC arch established using Halpin-Tsai micromechanics model and principle virtual work, from which critical can be obtained. This paper gives special attention to effect GPL distribution pattern, weight fraction, geometric parameters, constraint...