2012
DOI: 10.9798/kosham.2012.12.6.151
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Adaptive Finite Element Mesh Generation for Dynamic Planar Problems

Abstract: In structural design and analysis used for hazard mitigation systems, automation is becoming an essential feature. For analysis, the finite element method has proven to be an effective approximate method if proper element types and meshes are chosen. Recently, the method has been successfully applied to solve complex dynamic and nonlinear problems; and with a properly chosen element type and mesh, reliable results have been obtained. However, in automation and in complex analyses of a structures, using the ini… Show more

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Cited by 3 publications
(7 citation statements)
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“…A parametric study recommends a value between 12.0 and 15.0 for optimal value of α for general dynamics problems. Significant deviations of α from this range result in computational inefficiency for no apparent increase in accuracy (Yoon, 2012).…”
Section: The H-methods Of Adaptive Mesh Generation With Discretizationmentioning
confidence: 99%
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“…A parametric study recommends a value between 12.0 and 15.0 for optimal value of α for general dynamics problems. Significant deviations of α from this range result in computational inefficiency for no apparent increase in accuracy (Yoon, 2012).…”
Section: The H-methods Of Adaptive Mesh Generation With Discretizationmentioning
confidence: 99%
“…Various means of combining have been studied (de Las Casas, 1988;Jang and Lee 2011;Yoon, 2012). To obtain an optimal combination of the r-method and the h-method, first the representative strain values are normalized at each step so that the minimum and maximum values are from 0 to 100.…”
Section: The R-h Methods Of Adaptive Mesh Generation With Dispersion Pmentioning
confidence: 99%
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“…The finite element method is an approximate structural analysis method most widely used in the world. The popularity of the method is partly due to ease of use; however, the user must provide finite element mesh and the number of elements in this mesh dictates the required computation time and the quality of the mesh influences error in the results (Bathe and Wilson, 1976;Belytschko et al, 1996;Yoon, 2014;Zienkiewcz et al, 2005).…”
Section: Introductionmentioning
confidence: 99%
“…Through diverse studies on many practical problems, the scheme is an improved and refined algorithm of the basic procedure presented in reference Yoon and Park(2010) and Yoon(2012). A general adaptive mesh generation process involves two basic steps : estimation of error given a mesh and generation of a new improved mesh based on the error (Choi and Jung, 1998;de Las Casa, 1988;Zienkiewcz and Zhu, 1987).…”
Section: 동적 문제에 효율적인 적응적 유한요소망mentioning
confidence: 99%