A versatile method of discrete convolution and FFT (DC-FFT) for contact analyses

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A Quantitative Solution for the Full Shear-Thinning EHL Point Contact Problem Including Traction (2007, methodology): “Later the DC-FFT method [25, 26] was incorporated to accelerate the time-consuming computation for elastic deformation.”
An Efficient Numerical Method With a Parallel Computational Strategy for Solving Arbitrarily Shaped Inclusions in Elastoplastic Contact Problems (2013, background): “of wrap-around order while the eigenstrains in the extended domain need only zero padding [26].”
Rethinking How External Pressure Can Suppress Dendrites in Lithium Metal Batteries (2019, methodology): “Contact interfaces involving rough surfaces can be modeled by using semi-analytical methods (SAMs) built on core analytical solutions and supported by efficient numerical approaches, including the conjugate gradient method (CGM) [40] and the fast Fourier transform (FFT) method [41, 42].”
Semi‐analytic solution for multiple interacting three‐dimensional inhomogeneous inclusions of arbitrary shape in an infinite space (2011, methodology): “In order to isolate the computational domain from the periodic structure, the zero-padding technique [36] is used in the present solution, as pointed out before.”
A numerical model for elastoplastic rough contact (2001, background): “Misunderstanding the difference between discrete convolution and continuous convolution also causes problems [Liu, Wang, and Liu (2000)].”