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Zhanjiang Wang

Researcher at Southwest Jiaotong University

Publications -  74
Citations -  1412

Zhanjiang Wang is an academic researcher from Southwest Jiaotong University. The author has contributed to research in topics: Finite element method & Lubrication. The author has an hindex of 22, co-authored 66 publications receiving 1138 citations. Previous affiliations of Zhanjiang Wang include Chongqing University & Tsinghua University.

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Analytical solution for elastic fields caused by eigenstrains in a half-space and numerical implementation based on FFT

TL;DR: In this paper, the authors derived explicit integral kernels for the elastic fields due to eigenstrains in an elastic half-space, which can be numerically processed with algorithms based on fast Fourier transform (FFT) to enable efficient and accurate numerical computations.
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Partial Slip Contact Analysis on Three-Dimensional Elastic Layered Half Space

TL;DR: An elastic contact model for three-dimensional layered or coated materials under coupled normal and tangential loads, with consideration of partial slip effects, has been developed in this paper, where the response functions for calculating the displacements and stresses were determined in the frequency domain by using the Papkovich-Neuber potentials.
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A Numerical Elastic–Plastic Contact Model for Rough Surfaces

TL;DR: In this paper, a three-dimensional numerical model based on minimization of complementary energy was proposed to analyze elastic-plastic contacts, in which the effect of plastic deformation is included by superimposing the plastic residual displacement on the geometry of contacting surface.
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An Efficient Numerical Method With a Parallel Computational Strategy for Solving Arbitrarily Shaped Inclusions in Elastoplastic Contact Problems

TL;DR: In this article, the authors propose a simple but efficient computational method to analyze the stresses caused by near surface inclusions of arbitrary shape, where the numerical computations are processed by taking advantage of the fast Fourier transform techniques with a parallel computing strategy.