Issue |
E3S Web of Conf.
Volume 402, 2023
International Scientific Siberian Transport Forum - TransSiberia 2023
|
|
---|---|---|
Article Number | 05023 | |
Number of page(s) | 6 | |
Section | Solar Energy Conversion, Sustainable Energy and Smart Grid | |
DOI | https://doi.org/10.1051/e3sconf/202340205023 | |
Published online | 19 July 2023 |
Evolution of ice load prediction tools for hydrotechnical construction
Peter the Great St. Petersburg Polytechnic University, 195251 St. Petersburg, Russia
* Corresponding author: sharapov.dm@gmail.com
The article provides an overview of the historical and contemporary developments in estimating ice loads on marine structures. It first underscores the significance of accurate ice load calculations for the safety and reliability of structures, and subsequently traces the evolution of ice load estimation techniques from past standards to current international standards and guidelines. The article then delves into the limitations of traditional methods for ice load estimation, which rely heavily on empirical data, before discussing the innovative and more precise discrete element method (DEM) for ice load estimation. The article outlines the benefits of using DEM over traditional methods and explores the diverse software options available for modelling ice loads on marine structures, including commercial and open-source alternatives. The article emphasizes the importance of staying up-to-date with the latest advancements in technology and techniques for ice load estimation, highlighting the crucial role that precise and reliable ice load estimation plays in ensuring the safety and dependability of marine structures in extreme environments. Overall, the article provides a comprehensive summary of the evolution of ice load estimation techniques for marine structures, from past norms to the contemporary use of DEM and advanced software packages. It underlines the necessity of continuous research to ensure that marine structures are constructed with the highest safety levels.
© 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.