• 제목/요약/키워드: moving least squares

검색결과 132건 처리시간 0.028초

Thermal vibration analysis of thick laminated plates by the moving least squares differential quadrature method

  • Wu, Lanhe
    • Structural Engineering and Mechanics
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    • 제22권3호
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    • pp.331-349
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    • 2006
  • The stresses and deflections in a laminated rectangular plate under thermal vibration are determined by using the moving least squares differential quadrature (MLSDQ) method based on the first order shear deformation theory. The weighting coefficients used in MLSDQ approximation are obtained through a fast computation of the MLS shape functions and their partial derivatives. By using this method, the governing differential equations are transformed into sets of linear homogeneous algebraic equations in terms of the displacement components at each discrete point. Boundary conditions are implemented through discrete grid points by constraining displacements, bending moments and rotations of the plate. Solving this set of algebraic equations yields the displacement components. Then substituting these displacements into the constitutive equation, we obtain the stresses. The approximate solutions for stress and deflection of laminated plate with cross layer under thermal load are obtained. Numerical results show that the MLSDQ method provides rapidly convergent and accurate solutions for calculating the stresses and deflections in a multi-layered plate of cross ply laminate subjected to thermal vibration of sinusoidal temperature including shear deformation with a few grid points.

Gas-liquid interface treatment in underwater explosion problem using moving least squares-smoothed particle hydrodynamics

  • Hashimoto, Gaku;Noguchi, Hirohisa
    • Interaction and multiscale mechanics
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    • 제1권2호
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    • pp.251-278
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    • 2008
  • In this study, we investigate the discontinuous-derivative treatment at the gas-liquid interface in underwater explosion (UNDEX) problems by using the Moving Least Squares-Smoothed Particle Hydrodynamics (MLS-SPH) method, which is known as one of the particle methods suitable for problems where large deformation and inhomogeneity occur in the whole domain. Because the numerical oscillation of pressure arises from derivative discontinuity in the UNDEX analysis using the standard SPH method, the MLS shape function with Discontinuous-derivative Basis Function (DBF) that is able to represent the derivative discontinuity of field function is utilized in the MLS-SPH formulation in order to suppress the nonphysical pressure oscillation. The effectiveness of the MLS-SPH with DBF is demonstrated in comparison with the standard SPH and conventional MLS-SPH though a shock tube problem and benchmark standard problems of UNDEX of a trinitrotoluene (TNT) charge.

이동 최소 자승법 기반의 빠르고 강체성이 유지되는 3차원 형상 변형 기법 (Fast and Rigid 3D Shape Deformation Based on Moving Least Squares)

  • 이정;김창헌
    • 정보처리학회논문지A
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    • 제16A권2호
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    • pp.61-68
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    • 2009
  • 본 논문에서는 이동 최소 자승법을 기반으로 이미지에 나타나는 객체의 강체 변형을 근사함으로써 자연스러운 변형 결과를 획득할 수 있는 빠른 속도의 3차원 형상 변형 기법을 제안한다. 본 연구에서는 이동 최소 자승법을 강체변형에 맞게 수정하여 각각의 점들이 이동되는 최적의 위치를 계산하는데 소요되는 계산량을 감소시키면서 변형된 결과의 강체성도 그대로 유지하고 있다. 복잡한 기하 형상이라도 점이나 타원형 핸들의 조작을 통해 쉽고 직관적이며 상호작용이 가능한 속도로 변형이 가능하다.

Improved Element-Free Galerkin method (IEFG) for solving three-dimensional elasticity problems

  • Zhang, Zan;Liew, K.M.
    • Interaction and multiscale mechanics
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    • 제3권2호
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    • pp.123-143
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    • 2010
  • The essential idea of the element-free Galerkin method (EFG) is that moving least-squares (MLS) approximation are used for the trial and test functions with the variational principle (weak form). By using the weighted orthogonal basis function to construct the MLS interpolants, we derive the formulae for an improved element-free Galerkin (IEFG) method for solving three-dimensional problems in linear elasticity. There are fewer coefficients in improved moving least-squares (IMLS) approximation than in MLS approximation. Also fewer nodes are selected in the entire domain with the IEFG method than is the case with the conventional EFG method. In this paper, we selected a few example problems to demonstrate the applicability of the method.

다양한 벡터 패턴 시각화를 위한 밀도 제한 이동최소제곱 (Density-Constrained Moving Least Squares for Visualizing Various Vector Patterns)

  • 이수빈;김종현
    • 한국컴퓨터정보학회:학술대회논문집
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    • 한국컴퓨터정보학회 2023년도 제68차 하계학술대회논문집 31권2호
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    • pp.577-580
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    • 2023
  • 물리 기반 시뮬레이션과 같이 연속적인 움직임을 표현하기 위해서 고차 보간(High-order interpolation)을 설계하는 것을 중요한 문제이다. 본 논문에서는 제약적인 벡터와 밀도 형태를 몬테카를로법을 사용하여 이동최소제곱(MLS, Moving least squares)을 제곱하여 이를 통해 속도 필드를 표현할 수 있는 방법을 제안한다. 결과적으로 밀도의 형태를 고려하여 MLS의 가중치가 적용된 결과를 보여주며, 그 결과가 벡터 보간에 얼마나 큰 영향을 끼치는지를 다양한 실험을 통해 보여준다.

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최소자승법을 적용한 이동객체 위치인식 보정 알고리즘 성능분석 (Performance Analysis of the Localization Compensation Algorithm for Moving Objects Using the Least-squares Method)

  • 정무경;이동명
    • 한국통신학회논문지
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    • 제39C권1호
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    • pp.9-16
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    • 2014
  • 본 논문에서는 이동객체의 위치인식 정확도 향상을 위하여 최소자승법을 적용한 이동객체 위치인식 보정 알고리즘을 제안하고, 성능을 분석하였다. 제안한 보정 알고리즘은 일정한 속도로 이동 중인 이동객체의 거리 값들을 TMVS (TWR Minimum Value Selection) 기법으로 측정 한 후, 이 값들을 사용하여 삼변측량법으로 이동객체의 위치를 측정하고, 최소자승법을 적용하여 위치인식 값을 보정한다. 실험결과, 시나리오 1 및 2에서 제안하는 보정알고리즘을 적용한 위치인식의 성능은 기존의 삼변측량법을 적16용한 위치인식의 성능에 비해 위치인식 정확도가 시나리오별 각각 58.84%, 40.28% 개선됨을 확인하였다.

강소성 변형 해석을 위한 최소 제곱 무요소법 (The Least-Squares Meshfree Method for the Analysis of Rigid-Plastic Deformation)

  • 윤성기;권기찬
    • 대한기계학회논문집A
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    • 제28권12호
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    • pp.2019-2031
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    • 2004
  • The least-squares formulation for rigid-plasticity based on J$_2$-flow rule and infinitesimal theory and its meshfree implementation using moving least-squares approximation are proposed. In the least-squares formulation the squared residuals of the constitutive and equilibrium equations are minimized. Those residuals are represented in a form of first-order differential system using the velocity and stress components as independent variables. For the enforcement of the boundary and frictional contact conditions, penalty scheme is employed. Also the reshaping of nodal supports is introduced to avoid the difficulties due to the severe local deformation near the contact interface. The proposed least-squares meshfree method does not require any structure of extrinsic cells during the whole process of analysis. Through some numerical examples of metal forming processes, the validity and effectiveness of the method are investigated.

선형 영구자석 동기전동기의 최소자승법을 적용한 질량 추정 (Mass Estimation of a Permanent Magnet Linear Synchronous Motor by the Least-Squares Algorithm)

  • 이진우
    • 전력전자학회:학술대회논문집
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    • 전력전자학회 2005년도 전력전자학술대회 논문집
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    • pp.427-429
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    • 2005
  • In order to tune the speed controller in the linear servo applications the accurate information of a mover mass including a load mass is always required. This paper suggests the mass estimation method of a permanent magnet linear synchronous motor(PMLSM) by using the parameter estimation method of Least-Squares algorithm. First, the deterministic autoregressive moving average(DARMA) model of the mechanical dynamic system is derived. The application of the Least-Squares algorithm shows that the mass can be accurately estimated both in the simulation results and in the experimental results.

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일반화된 유한차분법을 이용한 균열해석 (A Generalized Finite Difference Method for Crack Analysis)

  • 윤영철;김동조;이상호
    • 한국전산구조공학회:학술대회논문집
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    • 한국전산구조공학회 2007년도 정기 학술대회 논문집
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    • pp.501-506
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    • 2007
  • A generalized finite difference method for solving solid mechanics problems such as elasticity and crack problems is presented. The method is constructed in framework of Taylor polynomial based on the Moving Least Squares method and collocation scheme based on the diffuse derivative approximation. The governing equations are discretized into the difference equations and the nodal solutions are obtained by solving the system of equations. Numerical examples successfully demonstrate the robustness and efficiency of the proposed method.

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민감도를 이용한 효율적인 반응표면모델생성 (Efficient Response Surface Modeling using Sensitivity)

  • 왕세명;김좌일
    • 대한기계학회:학술대회논문집
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    • 대한기계학회 2003년도 추계학술대회
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    • pp.1882-1887
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    • 2003
  • The response surface method (RSM) became one of famous meta modeling techniques, however its approximation errors give designers several restrictions. Classical RSM uses the least squares method (LSM) to find the best fitting approximation models from the all given data. This paper discusses how to construct RSM efficiently and accurately using moving least squares method (MLSM) with sensitivity information. In this method, several parameters should be determined during the construction of RSM. Parametric study and optimization for these parameters are performed. Several difficulties during approximation processes are described and numerical examples are demonstrated to verify the efficiency of this method.

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