TY - JOUR
T1 - FFT-Based Methods for Computational Contact Mechanics
AU - Wang, Q. Jane
AU - Sun, Linlin
AU - Zhang, Xin
AU - Liu, Shuangbiao
AU - Zhu, Dong
N1 - Funding Information:
The authors would like to express sincere gratitude to co-workers at the Center for Surface Engineering and Tribology, Northwestern University, Evanston, IL, USA, for years of research on theoretical derivations of fundamental solutions, ICs, and FRFs, and developments and implementations of the FFT-based methods, especially to Drs. W. W. Chen, X. Q. Jin, W.-S. Kim, D. L. Li, Y. C. Liu, Z. Liu, A. Martini, N. Ren, M. J. Rodgers, X. J. Shi, Z. J. Wang, C. J. Yu, M. Q. Zhang, K. Zhou, and Q. H. Zhou, as well as Mr. H. Yu, Chongqing University, China, for their valuable contributions. The authors would also like to thank Professor L. M. Keer, Northwestern University, for long-term collaboration and research discussion, and the journal editor and reviewers for their valuable suggestions on manuscript revision.
Publisher Copyright:
© Copyright © 2020 Wang, Sun, Zhang, Liu and Zhu.
PY - 2020/8/28
Y1 - 2020/8/28
N2 - Computational contact mechanics seeks for numerical solutions to contact area, pressure, deformation, and stresses, as well as flash temperature, in response to the interaction of two bodies. The materials of the bodies may be homogeneous or inhomogeneous, isotropic or anisotropic, layered or functionally graded, elastic, elastoplastic, or viscoelastic, and the physical interactions may be subjected to a single field or multiple fields. The contact geometry can be cylindrical, point (circular or elliptical), or nominally flat-to-flat. With reasonable simplifications, the mathematical nature of the relationship between a surface excitation and a body response for an elastic contact problem is either in the form of a convolution or correlation, making it possible to formulate and solve the contact problem by means of an efficient Fourier-transform algorithm. Green's function inside such a convolution or correlation form is the fundamental solution to an elementary problem, and if explicitly available, it can be integrated over a region, or an element, to obtain influence coefficients (ICs). Either the problem itself or Green's functions/ICs can be transformed into a space-related frequency domain, via a Fourier transform algorithm, to formulate a frequency-domain solution for contact problems. This approach converts the original tedious integration operation into multiplication accompanied by Fourier and inverse Fourier transforms, and thus a great computational efficiency is achieved. The conversion between ICs and frequency-response functions facilitate the solutions to problems with no explicit space-domain Green's function. This paper summarizes different algorithms involving the fast Fourier transform (FFT), developed for different contact problems, error control, as well as solutions to the problems involving different contact geometries, different types of materials, and different physical issues. The related works suggest that (i) a proper FFT algorithm should be used for each of the cylindrical, point, and nominally flat-flat contact problems, and then (ii) the FFT-based algorithms are accurate and efficient. In most cases, the ICs from the 0-order shape function can be applied to achieve satisfactory accuracy and efficiency if (i) is guaranteed.
AB - Computational contact mechanics seeks for numerical solutions to contact area, pressure, deformation, and stresses, as well as flash temperature, in response to the interaction of two bodies. The materials of the bodies may be homogeneous or inhomogeneous, isotropic or anisotropic, layered or functionally graded, elastic, elastoplastic, or viscoelastic, and the physical interactions may be subjected to a single field or multiple fields. The contact geometry can be cylindrical, point (circular or elliptical), or nominally flat-to-flat. With reasonable simplifications, the mathematical nature of the relationship between a surface excitation and a body response for an elastic contact problem is either in the form of a convolution or correlation, making it possible to formulate and solve the contact problem by means of an efficient Fourier-transform algorithm. Green's function inside such a convolution or correlation form is the fundamental solution to an elementary problem, and if explicitly available, it can be integrated over a region, or an element, to obtain influence coefficients (ICs). Either the problem itself or Green's functions/ICs can be transformed into a space-related frequency domain, via a Fourier transform algorithm, to formulate a frequency-domain solution for contact problems. This approach converts the original tedious integration operation into multiplication accompanied by Fourier and inverse Fourier transforms, and thus a great computational efficiency is achieved. The conversion between ICs and frequency-response functions facilitate the solutions to problems with no explicit space-domain Green's function. This paper summarizes different algorithms involving the fast Fourier transform (FFT), developed for different contact problems, error control, as well as solutions to the problems involving different contact geometries, different types of materials, and different physical issues. The related works suggest that (i) a proper FFT algorithm should be used for each of the cylindrical, point, and nominally flat-flat contact problems, and then (ii) the FFT-based algorithms are accurate and efficient. In most cases, the ICs from the 0-order shape function can be applied to achieve satisfactory accuracy and efficiency if (i) is guaranteed.
KW - FFT algorithms
KW - contact of materials
KW - contact pressure
KW - contact stress
KW - fast fourier transform
KW - tribology
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U2 - 10.3389/fmech.2020.00061
DO - 10.3389/fmech.2020.00061
M3 - Article
AN - SCOPUS:85091979033
SN - 2297-3079
VL - 6
JO - Frontiers in Mechanical Engineering
JF - Frontiers in Mechanical Engineering
M1 - 61
ER -