Dynamic Sustainable Processes Simulation to Study Transport Object Efficiency
Author(s): |
Iryna Bondarenko
Alessandro Severino Isaac Oyeyemi Olayode Tiziana Campisi Larysa Neduzha |
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Medium: | journal article |
Language(s): | English |
Published in: | Infrastructures, September 2022, n. 9, v. 7 |
Page(s): | 124 |
DOI: | 10.3390/infrastructures7090124 |
Abstract: |
The development of reliability theory has led to the setting of tasks requiring consideration of the efficiency and functional safety of technical objects of transport over the life cycle. The paper demonstrates the possibility of using the universal laws of elastic wave theory to describe natural phenomena occurring in complex dynamic systems, on the examples of solving issues arising in the interaction of rolling stock and the railway track. The accounting of the time component and the ability of elastic waves to propagate energy in time and space allowed considering any interaction process as a chain of processes, incidence-reflection-refraction of force impulses of interaction. Understanding the physics of dynamic processes that occur in objects while performing their intended functions allows developers to improve objects in such a way as to minimize their life cycle cost and maximize their ability to perform their intended functions under different operating conditions. In addition, it allows the expansion of existing methods and approaches to diagnostics of dynamic transport systems. All this is a base for making it possible to develop an innovative and effective tool for engineers and scientists to assess the impact of technosphere transport objects on human habitats. |
Copyright: | © 2022 the Authors. Licensee MDPI, Basel, Switzerland. |
License: | This creative work has been published under the Creative Commons Attribution 4.0 International (CC-BY 4.0) license which allows copying, and redistribution as well as adaptation of the original work provided appropriate credit is given to the original author and the conditions of the license are met. |
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data sheet - Reference-ID
10722821 - Published on:
22/04/2023 - Last updated on:
10/05/2023