Generalized multiscale finite element method for a nonlinear elastic strain-limiting Cosserat model
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作者:
Ammosov, Dmitry
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North Eastern Fed Univ, Computat Technol & Artificial Intelligence, Yakutsk 677980, Republic Of Sak, RussiaNorth Eastern Fed Univ, Computat Technol & Artificial Intelligence, Yakutsk 677980, Republic Of Sak, Russia
Ammosov, Dmitry
[1
]
Mai, Tina
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Duy Tan Univ, Inst Res & Dev, Da Nang 550000, Vietnam
Duy Tan Univ, Fac Nat Sci, Da Nang 550000, VietnamNorth Eastern Fed Univ, Computat Technol & Artificial Intelligence, Yakutsk 677980, Republic Of Sak, Russia
Mai, Tina
[2
,3
]
Galvis, Juan
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Univ Nacl Colombia, Dept Matemat, Carrera 45 26-85,Edificio Uriel Gutierrez, Bogota, ColombiaNorth Eastern Fed Univ, Computat Technol & Artificial Intelligence, Yakutsk 677980, Republic Of Sak, Russia
Galvis, Juan
[4
]
机构:
[1] North Eastern Fed Univ, Computat Technol & Artificial Intelligence, Yakutsk 677980, Republic Of Sak, Russia
[2] Duy Tan Univ, Inst Res & Dev, Da Nang 550000, Vietnam
[3] Duy Tan Univ, Fac Nat Sci, Da Nang 550000, Vietnam
For nonlinear Cosserat elasticity, we consider multiscale methods in this paper. In particular, we explore the generalized multiscale finite element method (GMsFEM) to solve an isotropic Cosserat problem with strain-limiting property (ensuring bounded linearized strains even under high stresses). Such strain-limiting Cosserat model can find potential applications in solids and biological fibers. However, Cosserat media with naturally rotational degrees of freedom, nonlinear constitutive relations, high contrast, and heterogeneities may produce challenging multiscale characteristics in the solution, and upscaling by multiscale methods is necessary. Therefore, we utilize the offline and residual-based online (adaptive or uniform) GMsFEM in this context while handling the nonlinearity by Picard iteration. Through various two-dimensional experiments (for perforated, composite, and stochastically heterogeneous media with small and big strain-limiting parameters), our numerical results show the approaches' convergence, efficiency, and robustness. In addition, these results demonstrate that such approaches provide good accuracy, the online GMsFEM gives more accurate solutions than the offline one, and the online adaptive strategy has similar accuracy to the uniform one but with fewer degrees of freedom.
机构:
Texas A&M Univ Corpus Christi, Dept Math & Stat, Corpus Christi, TX 78412 USATexas A&M Univ Corpus Christi, Dept Math & Stat, Corpus Christi, TX 78412 USA
Vasilyeva, Maria
Mallikarjunaiah, S. M.
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Texas A&M Univ Corpus Christi, Dept Math & Stat, Corpus Christi, TX 78412 USATexas A&M Univ Corpus Christi, Dept Math & Stat, Corpus Christi, TX 78412 USA
机构:
Texas Tech Univ, Dept Math & Stat, Lubbock, TX 79409 USATexas A&M Univ Corpus Christi, Dept Math & Stat, 6300 Ocean Dr Unit 5825, Corpus Christi, TX 78412 USA
Vasudeva, Karthik K. K.
Mallikarjunaiah, S. M.
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Texas A&M Univ Corpus Christi, Dept Math & Stat, 6300 Ocean Dr Unit 5825, Corpus Christi, TX 78412 USATexas A&M Univ Corpus Christi, Dept Math & Stat, 6300 Ocean Dr Unit 5825, Corpus Christi, TX 78412 USA
Mallikarjunaiah, S. M.
Yoon, Hyun Chul
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Texas A&M Univ Corpus Christi, Dept Math & Stat, 6300 Ocean Dr Unit 5825, Corpus Christi, TX 78412 USA
Korea Inst Geosci & Mineral Resources, Petr & Marine Div, 124 Gwahak-ro, Daejeon 34132, South KoreaTexas A&M Univ Corpus Christi, Dept Math & Stat, 6300 Ocean Dr Unit 5825, Corpus Christi, TX 78412 USA
Yoon, Hyun Chul
COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION,
2022,
108
机构:
Univ Wisconsin, Dept Math, Madison, WI 53706 USAUniv Wisconsin, Dept Math, Madison, WI 53706 USA
Fu, Shubin
Chung, Eric
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机构:
Chinese Univ Hong Kong, Dept Math, Shatin, Hong Kong, Peoples R ChinaUniv Wisconsin, Dept Math, Madison, WI 53706 USA
Chung, Eric
Mai, Tina
论文数: 0引用数: 0
h-index: 0
机构:
Duy Tan Univ, Inst Res & Dev, Da Nang 550000, Vietnam
Duy Tan Univ, Fac Nat Sci, Da Nang 550000, VietnamUniv Wisconsin, Dept Math, Madison, WI 53706 USA
机构:
Chinese Univ Hong Kong, Dept Math, Hong Kong, Hong Kong, Peoples R China
Texas A&M Univ, Dept Math, College Stn, TX 77843 USA
Texas A&M Univ, ISC, College Stn, TX 77843 USAChinese Univ Hong Kong, Dept Math, Hong Kong, Hong Kong, Peoples R China
Chung, Eric T.
Efendiev, Yalchin
论文数: 0引用数: 0
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机构:
Texas A&M Univ, Dept Math, College Stn, TX 77843 USA
Texas A&M Univ, ISC, College Stn, TX 77843 USAChinese Univ Hong Kong, Dept Math, Hong Kong, Hong Kong, Peoples R China
Efendiev, Yalchin
Leung, Wing Tat
论文数: 0引用数: 0
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机构:
Texas A&M Univ, Dept Math, College Stn, TX 77843 USA
Texas A&M Univ, ISC, College Stn, TX 77843 USAChinese Univ Hong Kong, Dept Math, Hong Kong, Hong Kong, Peoples R China
Leung, Wing Tat
Vasilyeva, Maria
论文数: 0引用数: 0
h-index: 0
机构:
Texas A&M Univ, Dept Math, College Stn, TX 77843 USA
Texas A&M Univ, ISC, College Stn, TX 77843 USA
North Eastern Fed Univ, Inst Math & Informat, Dept Computat Technol, Yakutsk 677980, Republic Sakha, RussiaChinese Univ Hong Kong, Dept Math, Hong Kong, Hong Kong, Peoples R China
机构:
North Eastern Fed Univ, Multiscale Model Reduct Lab, Yakutsk 677007, RussiaNorth Eastern Fed Univ, Multiscale Model Reduct Lab, Yakutsk 677007, Russia
Gavrilieva, Uygulana
Vasilyeva, Maria
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机构:
North Eastern Fed Univ, Multiscale Model Reduct Lab, Yakutsk 677007, Russia
Texas A&M Univ, Inst Sci Computat, College Stn, TX 77843 USANorth Eastern Fed Univ, Multiscale Model Reduct Lab, Yakutsk 677007, Russia
Vasilyeva, Maria
Chung, Eric T.
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机构:
Chinese Univ Hong Kong, Dept Math, Shatin, Hong Kong 999077, Peoples R ChinaNorth Eastern Fed Univ, Multiscale Model Reduct Lab, Yakutsk 677007, Russia
机构:
Computational Technologies and Artificial Intelligence, North-Eastern Federal University, YakutskComputational Technologies and Artificial Intelligence, North-Eastern Federal University, Yakutsk
D. A. Ammosov
J. Huang
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机构:
School of Mathematics and Computational Science, Xiangtan University, National Center for Applied Mathematics in Hunan and Hunan Key Laboratory for Computation and Simulation in Science and Engineering, Hunan, XiangtanComputational Technologies and Artificial Intelligence, North-Eastern Federal University, Yakutsk
J. Huang
W. T. Leung
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机构:
Department of Mathematics, City University of Hong KongComputational Technologies and Artificial Intelligence, North-Eastern Federal University, Yakutsk
W. T. Leung
B. Shan
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机构:
Department of Mathematics, Texas A & M University, College Station, 77843, TXComputational Technologies and Artificial Intelligence, North-Eastern Federal University, Yakutsk