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Approaches based on calculating Residual Notch Stress Intensity Factors (R-NSIFs) assume the weld toe to be a sharp V-notch that gives rise to a residual singular stress distribution close to the weld toe. Once R-NSIFs are determined, they might be included in local fatigue criteria for the structural strength assessment of welded joints based on NSIFs due to external cyclic loading. However, the numerical calculation of R-NSIFs through finite element (FE) simulations of the welding process requires extremely refined meshes to properly capture the residual stress singularity. In this context, the Peak Stress Method (PSM) has recently been adopted to estimate R-NSIFs due to residual stresses by means of coarse meshes of 2D 4-node plane or 3D 8-node brick elements. The aim of this work is to investigate the applicability of the PSM to estimate R-NSIFs in a butt-welded joint using coarse meshes of 3D 10-node tetra elements. The R-NSIF distribution at the weld toe line is estimated by applying the PSM to coarse meshes of 3D 10-node tetra elements, and the results are in agreement with those obtained using 3D 8-node brick elements. Accordingly, the PSM based on tetra elements further enhances the rapid estimation of R-NSIFs using coarse meshes and could be effective in analyzing complex 3D joint geometries.
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http://dx.doi.org/10.3390/ma14040812 | DOI Listing |
Med Image Anal
January 2025
Department of Oral Craniomaxillofacial, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200011, China; College of Stomatology, Shanghai Jiao Tong University, Shanghai 200125, China; National Center for Stomatology, Shanghai 200011, China; National Clinical Medical Research Center for Oral Diseases, Shanghai 200011, China; Shanghai Key Laboratory of Stomatology, Shanghai 200011, China; Shanghai Research Institute of Stomatology, Shanghai 200011, China; Research Unit of Oral and Maxillofacial Regenerative Medicine, Chinese Academy of Medical Science, Shanghai 200011, China. Electronic address:
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