Vulnerability Assessment of Loaded Thin-Walled Shells Under an External Pulse Action

The vulnerability assessment of thin-walled shells under pulse action is treated as an inverse problem of the bifurcation theory using the phenomenon of growth and saturation of the displacement level during the pre-bifurcation period. Using the computational time series, the authors perform the neu...

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Bibliographic Details
Published inStrength of materials Vol. 49; no. 2; pp. 335 - 342
Main Authors Obodan, N. I., Adlutskii, V. Ya, Gromov, V. A.
Format Journal Article
LanguageEnglish
Published New York Springer US 01.03.2017
Springer
Springer Nature B.V
Subjects
Analysis
Artificial neural networks
Bifurcation theory
Catastrophic collapse
Characterization and Evaluation of Materials
Chemistry and Materials Science
Classical Mechanics
Computer networks
Displacement
Materials Science
Neural networks
Solid Mechanics
Thin walled shells
Time series
geometrically and physically nonlinear dynamic behavior
bifurcation
thin-walled shell
pulse loading
time series
vulnerability
neural network
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Summary:The vulnerability assessment of thin-walled shells under pulse action is treated as an inverse problem of the bifurcation theory using the phenomenon of growth and saturation of the displacement level during the pre-bifurcation period. Using the computational time series, the authors perform the neural network-based prediction of a thin-walled shell behavior within a time shorter than the progressive collapse duration.
ISSN:0039-2316
1573-9325
DOI:10.1007/s11223-017-9873-5