학술논문

Vulnerability Assessment of Loaded Thin-Walled Shells Under an External Pulse Action
Document Type
Academic Journal
Source
Strength of Materials. March, 2017, Vol. 49 Issue 2, p335, 8 p.
Subject
Neural network
Artificial neural networks -- Analysis
Language
English
ISSN
0039-2316
Abstract
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.
Author(s): N. I. Obodan [sup.1] , V. Ya. Adlutskii [sup.1] , V. A. Gromov [sup.1] Author Affiliations: (1) Oles Gonchar Dnepropetrovsk National University, 0000 0001 0368 1727, grid.412033.7, , Dnepr, [...]