A Reduced Lagrange Multiplier Method for Dirichlet
Boundary Conditions in Isogeometric Analysis
Volume 1 - Issue 1
Shuohui Yin1*, Tiantang Yu2 and Tinh Quoc Bui3
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- 1 School of Mechanical Engineering, Xiangtan University, China
- 2 Department of Engineering Mechanics, Hohai University, PR China
- 3 Department of Civil and Environmental Engineering, Tokyo Institute of Technology, Japan
*Corresponding author:
Shuohui Yin, School of Mechanical Engineering, Xiangtan University, Xiangtan, Hunan, 411105, PR China
Received: January 22, 2018; Published: January 29, 2018
DOI: 10.32474/TCEIA.2018.01.000102
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Abstract
Although the well-known standard Lagrange multiplier method (LMM) can even produce higher accuracy and easier
implementation than other conventional schemes (e.g., the modified variational principle, the Nitsche’s method), however it
inherently owns many difficulties in solving the system of discretized equations, mainly caused by new unknown Lagrange
multipliers. The LMM naturally increases the problem size and leads to a poorly conditioned matrix equation. The singularity is also
often encountered because of inappropriate selection of interpolation space for the Lagrange multiplier. In this paper, we propose an
improved method, called reduced Lagrange multiplier method, which can overcome such drawbacks raised by the LMM in treating
the Dirichlet-type boundary conditions in terms of Isogeometric Analysis. By simply splitting the system equations into boundaries
and interior groups, the size of system equations derived from the LMM is reduced; no additional unknowns have been added
into the resulting system of equations; the Lagrange multiplier is hence disappeared; and more importantly the singular problem
mentioned is avoided. The accuracy and convergence rates of the proposed method are studied through three numerical examples,
exhibiting all the desirable features of the method. Optimal convergence rate and high accuracy for the present method is found.
Keywords: NURBS; Isogeometric analysis; Dirichlet boundary conditions; Lagrange multiplier method; Finite element method
Abbrevations: LMM: Lagrange Multiplier Method; IGA: Iso-Geometric Analysis; CAD: Computer-Aided DBCs: Design Boundary
Conditions; DM: Direct Method; LSCM: Least-Squares Collocation Method; RLMM: Reduced Lagrange Multiplier Method
Abstract|
Introduction|
NURBS-Based Isogeometric Analysis|
Reduced Lagrange Multiplier Method For Dirichlet
Boundary Conditions|
Numerical Examples and Discussion|
Conclusion|
Acknowledgement|
References|