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YuanTong Gu
Researcher at Queensland University of Technology
Publications - 597
Citations - 15277
YuanTong Gu is an academic researcher from Queensland University of Technology. The author has contributed to research in topics: Finite element method & Meshfree methods. The author has an hindex of 52, co-authored 550 publications receiving 12583 citations. Previous affiliations of YuanTong Gu include Nanjing Medical University & National University of Singapore.
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Mechanical Properties of Single-Layer Diamond Reinforced Poly(vinyl alcohol) Nanocomposites through Atomistic Simulation
TL;DR: In this paper, the mechanical performance of polyvinyl alchohol (PVA) nanocomposites reinforced with a single-layer diamond - diamane is investigated.
Journal Article
A 3-D Meshfree Numerical Model to Analyze Cellular Scale Shrinkage of Different Categories of Fruits and Vegetables during Drying
Charith Malinga Rathnayaka Mudiyanselage,H.C.P. Karunasena,YuanTong Gu,Lisa Guan,Jasmine Banks,Wijitha Senadeera +5 more
TL;DR: In this paper, a 3D numerical model was developed to better investigate the morphological changes and related solid and fluid dynamics of single parenchyma cells of apple, carrot and grape during drying.
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An effective sub-domain smoothed Galerkin method for free and forced vibration analysis
TL;DR: In this paper, a sub-domain smoothed Galerkin method is developed for free and forced vibration analyses of 2D solids, where arbitrarily shaped sub-domains are predefined in the problems domain represented by mesh-free nodes.
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Atypical Defect Motions in Brittle Layered Sodium Titanate Nanowires.
Arixin Bo,Kai Chen,Edmund Pickering,Haifei Zhan,John Bell,Aijun Du,Yongqiang Zhang,Xiaoguang Wang,Huaiyong Zhu,Zhi-Wei Shan,YuanTong Gu +10 more
TL;DR: In situ tensile tests show atypical defect motions in the brittle Na2Ti3O7 (NTO) nanowire (NW) within the elastic deformation range, speculated to be the result of the glidibility of the TiO6 layers, where weakly bonded cation layers are in between.
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An introduction to programming Physics-Informed Neural Network-based computational solid mechanics
Jinshuai Bai,Hyogu Jeong,C. Batuwatta-Gamage,Shusheng Xiao,Qingxia Wang,C. M. Rathnayaka,Laith Alzubaidi,Gui-Rong Liu,YuanTong Gu +8 more
TL;DR: This work presents a detailed introduction to programming PINN-based computational solid mechanics through Python coding language and TensorFlow library with step-by-step explanations and numerical examples ranging from 1D to 3D solid problems.