Yin Fan

ORCID: 0000-0003-1728-847X
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About
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Research Areas
  • Composite Structure Analysis and Optimization
  • Mechanical Behavior of Composites
  • Structural Analysis and Optimization
  • Cellular and Composite Structures
  • Nonlocal and gradient elasticity in micro/nano structures
  • Advanced Materials and Mechanics
  • Structural Behavior of Reinforced Concrete
  • High-Velocity Impact and Material Behavior
  • Aeroelasticity and Vibration Control
  • Aluminum Alloys Composites Properties
  • Plant Surface Properties and Treatments
  • Carbon Nanotubes in Composites
  • Advanced Sensor and Energy Harvesting Materials
  • Material Properties and Applications
  • Lightning and Electromagnetic Phenomena
  • Smart Materials for Construction
  • Additive Manufacturing and 3D Printing Technologies
  • Tribology and Wear Analysis
  • Thermal properties of materials
  • Transportation Safety and Impact Analysis
  • Advanced Thermoelectric Materials and Devices
  • Advanced MEMS and NEMS Technologies
  • Fullerene Chemistry and Applications
  • Fire dynamics and safety research
  • Analytical Chemistry and Sensors

Shanghai Jiao Tong University
2015-2025

Xi'an University of Technology
2025

Bengbu Medical College
2024

Nanjing University of Aeronautics and Astronautics
2024

Western Sydney University
2017-2020

Mississippi State University
2019-2020

Xi'an University of Architecture and Technology
2018

Changsha University of Science and Technology
2015

Genertec Shenyang Machine Tool Co., Ltd. (China)
2013

Xiaomi (China)
1999

Due to the complex and uncertain physics of lightning strike on carbon fiber-reinforced polymer (CFRP) laminates, conventional numerical simulation methods for assessing residual strength lightning-damaged CFRP laminates are highly time-consuming far from pretty. To overcome these challenges, this study proposes a new prediction method based machine learning. A diverse dataset is acquired augmented photographs damage areas, C-scan images, mechanical performance data, layup details, current...

10.3390/polym17020180 article EN Polymers 2025-01-13

10.1007/s10999-020-09521-x article EN International Journal of Mechanics and Materials in Design 2020-09-22

Negative Poisson’s ratio (NPR), also known as “auxetic”, is a highly desired property in wide range of future industry applications. By employing molecular dynamics (MD) simulation, metal matrix nanocomposites reinforced by graphene sheets are studied this paper. In the single crystal copper with orientation <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" overflow="scroll"> <mml:mfenced close="]" open="["> <mml:mrow> <mml:mn>1</mml:mn> <mml:mtext> </mml:mtext> <mml:mn>0</mml:mn>...

10.34133/2020/5618021 article EN cc-by Research 2020-01-01

Abstract Mechanical metamaterials with negative Poisson’s ratio (NPR) have emerged as a novel class of engineering material, and attracted increasing attention in various sectors. Most studies available on the buckling problem laminated plates positive or NPR are those under uniaxial compression. Here, we report that phenomenon may occur for auxetic nanocomposite tension when unloaded edges immovable. Two types nanocomposites considered, including graphene/Cu carbon nanotube/Cu composites....

10.1515/ntrev-2023-0173 article EN cc-by Nanotechnology Reviews 2024-01-01

10.1016/j.compstruct.2022.115974 article EN Composite Structures 2022-07-09

Lightning strike events pose significant challenges to the structural integrity and performance of composite materials, particularly in aerospace, wind turbine blade, infrastructure applications. Through a meticulous examination state-of-the-art methodologies laboratory testing damage predictive modeling, this review elucidates role simulated lightning tests providing inputs required for modeling experimental data model validations. In addition, provides holistic understanding what is there,...

10.3390/ma17030744 article EN Materials 2024-02-04

Abstract This paper proposes and validates a composite superimposed condition detection method for metal particle defects, which superimposes DC, shock vibration conditions, reduces the breakdown voltage, effectively improves sensitivity of defects in GIS. Compared with single superposition condition, this can detect GIS more effectively, its under lower voltage will not damage insulation ability equipment itself, is great practical value improving fault diagnosis accuracy guaranteeing...

10.1088/1742-6596/3000/1/012017 article EN Journal of Physics Conference Series 2025-04-01

Abstract A study on the large amplitude vibration of doubly curved graphene-reinforced composite (GRC) laminated panels is presented in this paper. panel made piece-wise GRC layers with functionally graded (FG) arrangement along thickness direction panel. layer consists polymer matrix reinforced by aligned graphene sheets. The material properties are temperature dependent and can be estimated extended Halpin-Tsai micromechanical model. modelling based Reddy’s higher order shear deformation...

10.1515/ntrev-2019-0042 article EN cc-by Nanotechnology Reviews 2019-12-31

Investigated herein are the small- and large-amplitude vibrations of a thermally postbuckled graphene-reinforced composite (GRC) laminated beam supported by an elastic foundation. The piecewise GRC layers arranged in functionally graded (FG) pattern along thickness direction beam. temperature-dependent material properties composites (FG-GRCs) estimated through extended Halpin–Tsai micromechanical model. nonlinear governing differential equations derived from higher-order shear deformation...

10.1142/s0219455419500512 article EN International Journal of Structural Stability and Dynamics 2019-01-11
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