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The smoothed finite element method (S-FEM): A framework for the design of numerical models for desired solutions |
Gui-Rong Liu( ) |
| Department of Aerospace Engineering and Engineering Mechanics, University of Cincinnati, Cincinnati 45219, USA |
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Abstract The smoothed finite element method (S-FEM) was originated by G R Liu by combining some meshfree techniques with the well-established standard finite element method (FEM). It has a family of models carefully designed with innovative types of smoothing domains. These models are found having a number of important and theoretically profound properties. This article first provides a concise and easy-to-follow presentation of key formulations used in the S-FEM. A number of important properties and unique features of S-FEM models are discussed in detail, including 1) theoretically proven softening effects; 2) upper-bound solutions; 3) accurate solutions and higher convergence rates; 4) insensitivity to mesh distortion; 5) Jacobian-free; 6) volumetric-locking-free; and most importantly 7) working well with triangular and tetrahedral meshes that can be automatically generated. The S-FEM is thus ideal for automation in computations and adaptive analyses, and hence has profound impact on AI-assisted modeling and simulation. Most importantly, one can now purposely design an S-FEM model to obtain solutions with special properties as wish, meaning that S-FEM offers a framework for design numerical models with desired properties. This novel concept of numerical model on-demand may drastically change the landscape of modeling and simulation. Future directions of research are also provided.
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| Keywords
computational method
finite element method
smoothed finite element method
strain smoothing technique
smoothing domain
weakened weak form
solid mechanics
softening effect
upper bound solution
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Corresponding Author(s):
Gui-Rong Liu
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Online First Date: 29 January 2019
Issue Date: 12 March 2019
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G RLiu. On partitions of unity property of nodal shape functions: rigid-body-movement reproduction and mass conservation. International Journal of Computational Methods, 2016, 13(2): 1640003
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J HYue, M Li, G RLiu, R PNiu. Proofs of the stability and convergence of a weakened weak method using PIM shape functions. Computers & Mathematics with Applications, 2016, 72(4): 933–951
https://doi.org/10.1016/j.camwa.2016.06.002
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G RLiu, G Y Zhang, Y Y Wang, Z H Zhong, G Y Li, X Han. A nodal integration technique for meshfree radial point interpolation method (NI-RPCM). International Journal of Solids and Structures, 2007, 44(11–12): 3840–3860
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| 203 |
G RLiu, M B Liu. Smoothed Particle Hydrodynamics: A Meshfree Particle Method. Singapore: World Scientific, 2003
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| 204 |
M BLiu, G R Liu. Smoothed particle hydrodynamics (SPH): an overview and recent developments. Archives of Computational Methods in Engineering, 2010, 17(1): 25–76
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| 205 |
M BLiu, G R Liu, L W Zhou, J Z Chang. Dissipative particle dynamics (DPD): an overview and recent developments. Archives of Computational Methods in Engineering, 2015, 17(1): 25–76
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JLiu, Z Q Zhang, G Y Zhang. A smoothed finite element method (S-FEM) for large-deformation elastoplastic analysis. International Journal of Computational Methods, 2015, 12(4): 1–26
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ELi, Z Zhang, C CChang, SZhou, G R Liu, Q Li. A new homogenization formulation for multifunctional composites. International Journal of Computational Methods, 2016, 13(2): 1640002
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| 209 |
G RLiu, X Han, Y GXu, K YLam. Material characterization of functionally graded material using elastic waves and a progressive learning neural network. Composites Science and Technology, 2001, 61(10): 1401–1411
https://doi.org/10.1016/S0266-3538(01)00033-1
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| 210 |
G RLiu, X Han, K YLam. Determination of elastic constants of anisotropic laminated plates using elastic waves and a progressive neural network. Journal of Sound and Vibration, 2002, 252(2): 239–259
https://doi.org/10.1006/jsvi.2001.3814
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| 211 |
G RLiu, X Han. Computational inverse techniques in nondestructive evaluation, CRC Press, 2003
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| 212 |
YLi, G R Liu. An element-free smoothed radial point interpolation method (EFS-RPIM) for 2D and 3D solid mechanics problems. Computers and Mathematics with Applications, 2018, doi: 10.1016/j.camwa.2018.09.047
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| 213 |
G RLiu. A novel pick-out theory and technique for constructing the smoothed derivatives of functions for numerical methods. International Journal of Computational Methods, 2018, 15(3): 1850070
https://doi.org/10.1142/S0219876218500706
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