Meshfree analysis of softening elastoplastic solids using variational multiscale method

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A meshftee multiscale method is presented for efficient analysis of elastoplastic solids. In the analysis of softening elastoplastic solids, standard finite element methods or meshfree methods typically yield mesh-dependent results. The reason for this well-known effect is the loss of ellipticity of the boundary value problem. In this work, the scale decomposition is carried out based on a variational form of the problem. A coarse scale is designed to represent global behavior and a fine scale to represent local behavior. A fine scale region is detected from the local failure analysis of an acoustic tensor to indicate a region where deformation changes abruptly. Each scale variable is approximated using a meshftee method. Meshfree approximation is well-suited for adaptivity. As a method of increasing the resolution, a partition of unity based extrinsic enrichment is used. In particular, fine scale approximations are designed to appropriately represent local behavior by using a localization angle. Moreover, the regularization effect through the convexification of non-convex potential is embedded to represent fine scale behavior. Each scale problem is solved iteratively. The proposed method is applied to shear band problems. In the results of analysis about pure shear and compression problems, straight shear bands can be captured and mesh-insensitive results are obtained. Curved shear bands can also be captured without mesh dependency in the analysis of indentation problem. (c) 2004 Elsevier Ltd. All rights reserved.
Publisher
PERGAMON-ELSEVIER SCIENCE LTD
Issue Date
2005-07
Language
English
Article Type
Article
Keywords

KERNEL HIERARCHICAL PARTITION; LARGE-EDDY SIMULATION; FINITE-ELEMENT-METHOD; SHEAR BANDS; STRAIN LOCALIZATION; FORMULATION; UNITY; CONTINUUM

Citation

INTERNATIONAL JOURNAL OF SOLIDS AND STRUCTURES, v.42, no.14, pp.4030 - 4057

ISSN
0020-7683
DOI
10.1016/j.ijsolstr.2004.12.007
URI
http://hdl.handle.net/10203/92020
Appears in Collection
ME-Journal Papers(저널논문)
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