Optimal error analysis of Crank-Nicolson lowest-order Galerkin-mixed finite element method for incompressible miscible flow in porous media
被引:7
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作者:
Gao, Huadong
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机构:
Huazhong Univ Sci & Technol, Sch Math & Stat, Wuhan 430074, Peoples R China
Huazhong Univ Sci & Technol, Hubei Key Lab Engn Modeling & Sci Comp, Wuhan 430074, Peoples R ChinaHuazhong Univ Sci & Technol, Sch Math & Stat, Wuhan 430074, Peoples R China
Gao, Huadong
[1
,2
]
Sun, Weiwei
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机构:
Beijing Normal Univ, Adv Inst Nat Sci, Zhuhai, Peoples R China
United Int Coll BNU HKBU, Div Sci & Technol, Zhuhai, Peoples R ChinaHuazhong Univ Sci & Technol, Sch Math & Stat, Wuhan 430074, Peoples R China
Sun, Weiwei
[3
,4
]
机构:
[1] Huazhong Univ Sci & Technol, Sch Math & Stat, Wuhan 430074, Peoples R China
[2] Huazhong Univ Sci & Technol, Hubei Key Lab Engn Modeling & Sci Comp, Wuhan 430074, Peoples R China
[3] Beijing Normal Univ, Adv Inst Nat Sci, Zhuhai, Peoples R China
[4] United Int Coll BNU HKBU, Div Sci & Technol, Zhuhai, Peoples R China
Numerical methods for incompressible miscible flow in porous media have been studied extensively in the last several decades. In practical applications, the lowest-order Galerkin-mixed method is the most popular one, where the linear Lagrange element is used for the concentration and the lowest order Raviart-Thomas mixed element pair is used for the Darcy velocity and pressure. The existing error estimate of the method inL(2)-norm is in the orderO hp+hc2in spatial direction, which however is not optimal and valid only under certain extra restrictions on both time step and spatial meshes, excluding the most commonly used meshh = h(p) = h(c). This paper focuses on new and optimal error estimates of a linearized Crank-Nicolson lowest-order Galerkin-mixed finite element method (FEM), where the second-order accuracy for the concentration in both time and spatial directions is established unconditionally. The key to our optimal error analysis is an elliptic quasi-projection. Moreover, we propose a simple one-step recovery technique to obtain a new numerical Darcy velocity and pressure of second-order accuracy. Numerical results for both two and three-dimensional models are provided to confirm our theoretical analysis.
机构:
Beijing Normal Univ Zhuhai, Adv Inst Nat Sci, Zhuhai 519087, Peoples R China
United Int Coll BNU HKBU, Div Sci & Technol, Zhuhai 519087, Peoples R ChinaBeijing Normal Univ Zhuhai, Adv Inst Nat Sci, Zhuhai 519087, Peoples R China
Sun, Weiwei
Wu, Chengda
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机构:
City Univ Hong Kong, Dept Math, Kowloon, Hong Kong, Peoples R ChinaBeijing Normal Univ Zhuhai, Adv Inst Nat Sci, Zhuhai 519087, Peoples R China
机构:
Beijing Normal Univ Zhuhai, Adv Inst Nat Sci, Zhuhai, Peoples R China
United Int Coll BNU HKBU, Div Sci & Technol, Zhuhai 519087, Peoples R ChinaBeijing Normal Univ Zhuhai, Adv Inst Nat Sci, Zhuhai, Peoples R China
机构:
Beijing Normal Univ, Inst Nat Sci, Zhuhai 519087, Peoples R China
United Int Coll, Div Sci & Technol, Zhuhai, Peoples R ChinaBeijing Normal Univ, Inst Nat Sci, Zhuhai 519087, Peoples R China
Sun, Weiwei
Wu, Chengda
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机构:
City Univ Hong Kong, Dept Math, Kowloon, Hong Kong, Peoples R ChinaBeijing Normal Univ, Inst Nat Sci, Zhuhai 519087, Peoples R China
机构:
Hangzhou Dianzi Univ, Sch Sci, Dept Math, Hangzhou, Zhejiang, Peoples R ChinaHangzhou Dianzi Univ, Sch Sci, Dept Math, Hangzhou, Zhejiang, Peoples R China
Cai, Wentao
Wang, Jilu
论文数: 0引用数: 0
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机构:
Beijing Computat Sci Res Ctr, Beijing 100193, Peoples R ChinaHangzhou Dianzi Univ, Sch Sci, Dept Math, Hangzhou, Zhejiang, Peoples R China
Wang, Jilu
Wang, Kai
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机构:
Hong Kong Polytech Univ, Dept Appl Math, Hung Hom, Kowloon, Hong Kong, Peoples R ChinaHangzhou Dianzi Univ, Sch Sci, Dept Math, Hangzhou, Zhejiang, Peoples R China
机构:
Yunnan Normal Univ, Dept Math, Kunming 650500, Peoples R China
Univ Yunnan, Key Lab Complex Syst Modeling & Applicat, Kunming 650500, Peoples R ChinaYunnan Normal Univ, Dept Math, Kunming 650500, Peoples R China
Yang, Yun-Bo
Jiang, Yao-Lin
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Yunnan Normal Univ, Dept Math, Kunming 650500, Peoples R China
Xi An Jiao Tong Univ, Sch Math & Stat, Xian 710049, Peoples R ChinaYunnan Normal Univ, Dept Math, Kunming 650500, Peoples R China
机构:
Xinjiang Univ, Coll Math & Syst Sci, Urumqi 830046, Peoples R ChinaXinjiang Univ, Coll Math & Syst Sci, Urumqi 830046, Peoples R China
Zhang, Xindan
Zhao, Jianping
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Xinjiang Univ, Coll Math & Syst Sci, Urumqi 830046, Peoples R China
Xinjiang Univ, Inst Math & Phys, Urumqi 830046, Peoples R ChinaXinjiang Univ, Coll Math & Syst Sci, Urumqi 830046, Peoples R China
Zhao, Jianping
Hou, Yanren
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Xinjiang Univ, Coll Math & Syst Sci, Urumqi 830046, Peoples R China
Xi An Jiao Tong Univ, Sch Math & Stat, Xian 710049, Peoples R ChinaXinjiang Univ, Coll Math & Syst Sci, Urumqi 830046, Peoples R China