• Title/Summary/Keyword: RKPM

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Beam analysis methods using RKPM (무요소법에서 RKPM을 이용한 보 해석 방안)

  • 송태한
    • Proceedings of the Computational Structural Engineering Institute Conference
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    • 2002.04a
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    • pp.35-42
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    • 2002
  • In this paper, effective analysis of beam is studied using the RKPM in meshless methods. So, RKPM is extended for solving moderately thick and thin beam. General Timoshenko beam theory is used for formulation. Shear locking is the main difficulty in analysis of beam structures. The shear relaxation factor and corrected shear rigidity are introduced to overcome shear locking. Analysis results obtained reveal that RKPM using introduced methods Is free of locking and very effectively applicable to deeply as well as shallowly beams.

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Effective Analysis of Beams Using the RKPM (RKPM을 이용한 보의 효과적 해석 방안)

  • 송태한;석병호
    • Transactions of the Korean Society of Machine Tool Engineers
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    • v.12 no.5
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    • pp.73-79
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    • 2003
  • In this paper, RKPM is extended for solving moderately thick and thin beams. General Timoshenko beam theory is used for formulation. Shear locking is the main difficulty in analysis of these kinds of structures. Shear relaxation factor, which is formulated using the difference between bending and shear strain energy, and corrected shear rigidity are introduced to overcome shear locking. Analysis results obtained reveal that RKPM using introduced methods is free of locking and very effectively applicable to deep beams as well as shallow beams.

The use of RKPM meshfree methods to compute responses to projectile impacts and blasts nearby charges

  • Choi, Hyung-Jin;Crawford, John;Wu, Youcai
    • Computers and Concrete
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    • v.7 no.2
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    • pp.119-143
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    • 2010
  • This paper presents results from a study concerning the capability afforded by the RKPM (reproducing kernel particle method) meshfree analysis formulation to predict responses of concrete and UHPC components resulting from projectile impacts and blasts from nearby charges. In this paper, the basic features offered by the RKPM method are described, especially as they are implemented in the analysis code KC-FEMFRE, which was developed by Karagozian & Case (K&C).

Effective Analysis of Beams and Plates using the RKPM (무요소법을 이용한 보와 판의 효과적인 해석)

  • Song, Tae-Han;Seog, Byung-Ho;Lim, Jang-Keun
    • Proceedings of the KSME Conference
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    • 2001.06a
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    • pp.680-685
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    • 2001
  • In this paper, RKPM is extended for solving moderately thick and thin structures. General Timoshenko beam and Mindlin plate theory are used far formulation. Shear locking is the main difficulty in analysis of these kinds of structures. Shear relaxation factor, which is formulated using the difference between bending and shear strain energy, is introduced to overcome shear locking. Analysis results obtained reveal that RKPM using introduced method is free of locking and very effectively applicable to deeply as well as shallowly beams and plates.

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A Meshless Method and its Adaptivity for Stress Concentration Problems (응력집중문제의 해석을 위한 적응적 무요소절점법에 관한 연구)

  • 이상호;전석기;김효진
    • Proceedings of the Computational Structural Engineering Institute Conference
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    • 1997.10a
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    • pp.16-23
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    • 1997
  • The Reproducing Kernel Particle Method (RKPM), one of the popular meshless methods, is developed and applied to stress concentration problems. Since the meshless methods require only a set of particles (or nodes) and the description of boundaries in their formulation, the adaptivity can be implemented with much more ease than finite element method. In addition, due to its intrinsic property of multiresolution, the shape function of RKPM provides us a new criterion for adaptivity. Recently, this multiple scale Reproducing Kernel Particle Method and its adaptive procedure have been formulated for large deformation problems by the authors. They are also under development for damage materials and localization problems. In this paper the multiple scale RKPM for linear elasticity is presented and the adaptive procedure is applied to stress concentration problems. Therefore, this work may be regarded as the edition of linear elasticity in the complete framework of multiple scale RKPM and the associated adaptivity.

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무요소 해석법에 의한 초탄성 재료의 변형에 관한 연구

  • 진석기;정동원
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 1995.10a
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    • pp.732-735
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    • 1995
  • A meshless method which is the new computational method being developed recently, is applied to the simulation of large deformation problems. Among the many types of meshless methods, the Reproducing Kernel particle method (RKPM) is used and the nearly incompressible hyperelastic materials are employed in simulations. The meshless methods can avoid metsh distortions and mesh entanglements that may frequently happen when the mesh-based methods like finite element method are used for the simulations of largely deformed materials. A general features of meshless methods are reviewed and the formulation of RKPM is presented. Next, the performance of explicit RKPM is demonstrated by examples.

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A Study on the Deformation Analysis of Largely Deformed Elasto-Plastic Material Using a Meshfree Method (무요소법에 의한 대변형 탄소성 재료의 변형해석에 관한 연구)

  • Kyu-Taek Han
    • Journal of Advanced Marine Engineering and Technology
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    • v.27 no.2
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    • pp.289-298
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    • 2003
  • Meshfree approximations exhibit significant Potential to solve partial differential equations. Meshfree methods have been successfully applied to various problems which the traditional finite element methods have difficulties to handle including the quasi-static and dynamic fracture, large deformation problems, contact problems, and strain localization problems. Reproducing Kernel Particle Method (RKPM) is used in this research fur to its built-in feature of multi-resolution. the sound mathematical foundation and good numerical performance. A formulation of RKPM is reviewed and numerical examples are given to verify the accuracy of the proposed meshfree method for largely deformed elasto-plastic material.

A Multi-Scale Meshless Method for Stress Concentration Problems (응력집중문제의 해석을 위한 다중스케일 무요소법에 관한 연구)

  • 이상호;김효진;전석기
    • Journal of the Computational Structural Engineering Institute of Korea
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    • v.12 no.4
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    • pp.681-690
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    • 1999
  • 본 논문에서는 요소를 사용하지 않은 수치해석기법인 무요소법 중에서 다중해상도(multi-resolution)특성이 내재되어 있는 Reproducing Kernel Particle Method (RKPM)의 이중스케일 분해기법을 사용하여 RKPM의 형상함수를 상단성분과 하단성분으로 분리하고 이를 3차원 선형탄성해석과정에 적용하여 von Mises 응력장의 상·하단성분을 유도하였다. 유도된 응력장의 상단성분을 이용하여 후처리과정을 거치지 않고도 응력의 고변화도 부위를 손쉽게 파악할 수 있는 기법을 개발하였으며 이를 이용한 효율적인 적응적 세분화기법의 적용가능성을 연구하였다. 대표적인 2차원 및 3차원 응력집중 문제에 적용하여 응력집중부위를 파악하고 간단한 적응적 세분화과정에 따른 절점추가를 통하여 해의 정도 향상을 파악해 본 결과, 본 연구에서 개발된 기법이 응력집중부위를 정확히 판정할 수 있었으며 효율적인 적응적 세분화기법의 유용한 도구로서 활용될 수 있음을 검증하였다.

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Analysis of Metal Forming Process Using Meshfree Method (무요소법에 의한 금속성형공정의 해석)

  • Han, Kyu-Taek
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2003.06a
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    • pp.1569-1572
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    • 2003
  • Meshfree approximations exhibit significant potential to solve partial differential equations. Meshfree methods have been successfully applied to various problems which the traditional finite element methods have difficulties to handle, including the quasi-static and dynamic fracture. large deformation problems, contact problems, and strain localization problems. A meshfree method based on the reproducing kernel particle approximation(RKPM) is applied to sheet metal forming analysis in this research. Metal forming examples, such as stretch forming and flanging operation, are analyzed to demonstrate the performance of the proposed meshfree method for largely deformed elasto-plastic material.

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대변형 초탄성 재료의 해석을 위한 무요소 적응기법

  • 전석기;정동원
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 1995.10a
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    • pp.736-739
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    • 1995
  • The meshless adaptive method based on multiple scale analysis is developed to simulate large deformation problems. In the procedure, new particles are simply added to the orginal particle distribution because meshless methods do not require mesh structures in the formulations. The high scale component of the approximated solution detects the localized region where a refinement is needed. The high scale component of the second invariant od Green-Lagrangian strain tensor is suggested as the new high gradient detector for adaptive procedures. The feasibility of the proposed theory is demonstrated by a numerical experiment for the large deformation of hyperelastic materials.

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