Issue |
E3S Web of Conf.
Volume 402, 2023
International Scientific Siberian Transport Forum - TransSiberia 2023
|
|
---|---|---|
Article Number | 01006 | |
Number of page(s) | 6 | |
Section | Green Logistics and Sustainable Supply Chain Management | |
DOI | https://doi.org/10.1051/e3sconf/202340201006 | |
Published online | 19 July 2023 |
Modeling of load-displacement relationships for corrugated cardboard containers
Petrozavodsk State University. Lenin Str., 33, 185910, Petrozavodsk, Russia
* Corresponding author: kolesnikovgn@ya.ru
This article discusses the nonlinear behavior of the corrugated packaging during compression. The model of this behavior is a load-displacement curve with an ascending branch, a peak point and a descending branch. In some cases, the descending branch shows signs of plastic transition and/or loss of stability of the container walls. The purpose of this work is to predict the transition point of a corrugated container into a plastic (or pseudo-plastic) state. This condition is unacceptable because there are residual deformations that reduce the quality of the container. The article proposes and implements an approach based on the joint application of the well-known equation of the dependence of the load on displacement and the differential fracture criterion. The simulation results are consistent with experiments known from the literature. The conducted research makes a certain contribution to the creation of new tools, the use of which expands the possibilities of analyzing the mechanical behavior of corrugated cardboard containers for the purpose of rational use of resources in accordance with the concept of sustainable development.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.