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Yixiang Gan

Researcher at University of Sydney

Publications -  187
Citations -  3761

Yixiang Gan is an academic researcher from University of Sydney. The author has contributed to research in topics: Porous medium & Discrete element method. The author has an hindex of 26, co-authored 163 publications receiving 2660 citations. Previous affiliations of Yixiang Gan include Xi'an Jiaotong University & Karlsruhe Institute of Technology.

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Experimental observations of stress-driven grain boundary migration.

TL;DR: An experimental investigation of stress-driven grain boundary migration manifested as grain growth in nanocrystalline aluminum thin films indicates that shear stresses drive grain boundaries to move in a manner consistent with recent molecular dynamics simulations and theoretical predictions of coupled grain boundaries migration.
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Three-dimensional modeling of the mechanical property of linearly elastic open cell foams

TL;DR: In this paper, a three-dimensional Voronoi model is developed to investigate the mechanical behavior of linearly elastic open cell foams and the failure surface of the foams subject to multi-axial compression is determined and is found to comply with the maximum compressive principal stress criterion.
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Discrete element modelling of pebble beds: With application to uniaxial compression tests of ceramic breeder pebble beds

TL;DR: In this article, a discrete element simulation scheme for pebble beds in fusion blankets is presented, where each individual piece obeying equilibrium conditions under contact forces is considered as one element.
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Contact mechanics of fractal surfaces by spline assisted discretisation

TL;DR: In this paper, the authors present an approach for the calculation of interfacial stiffness and contact area evolution between two rough bodies exhibiting self-affine surface structures using spline assisted discretization.
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Scalable surface area characterization by electrokinetic analysis of complex anion adsorption.

TL;DR: The zeta potential shift with relative adsorbate addition revealed a nearly linear correlation of a defined surface-area-dependent parameter with the conventionally measured surface area values of the powders, demonstrating that the proposed analytical framework is applicable for the in situ surface area characterization of aqueous particulate matter.