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Statistics of the Von Mises Stress Response For Structures Subjected To Random Excitations
Author(s) -
Mu-Tsang Chen,
Ronald S. Harichandran
Publication year - 1998
Publication title -
shock and vibration
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.418
H-Index - 45
eISSN - 1875-9203
pISSN - 1070-9622
DOI - 10.1155/1998/162424
Subject(s) - von mises yield criterion , random vibration , monte carlo method , structural engineering , finite element method , covariance , stress (linguistics) , mathematics , cartesian coordinate system , statistics , vibration , engineering , physics , geometry , linguistics , philosophy , quantum mechanics
Finite element-based random vibration analysis is increasingly used in computer aided engineering software for computing statistics (e.g., root-mean-square value) of structural responses such as displacements, stresses and strains. However, these statistics can often be computed only for Cartesian responses. For the design of metal structures, a failure criterion based on an equivalent stress response, commonly known as the von Mises stress, is more appropriate and often used. This paper presents an approach for computing the statistics of the von Mises stress response for structures subjected to random excitations. Random vibration analysis is first performed to compute covariance matrices of Cartesian stress responses. Monte Carlo simulation is then used to perform scatter and failure analyses using the von Mises stress response

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