Wyniki wyszukiwania - BazTech

Ograniczanie wyników

3 2023

Znaleziono wyników: 3

Liczba wyników na stronie

Wyniki wyszukiwania

Sortuj według:

Ogranicz wyniki do:

The study of stress-strain state elements of the truck semi-trailer body bottom

Lyashuk Oleg, Levkovych Mykhailo, Vovk Yuriy, Gevko Ivan, Stashkiv Mykola, Liubomyr Slobodian, Pyndus Yuriy

Zeszyty Naukowe. Transport / Politechnika Śląska

2023

z. 118

161--172

Research on the influence of geometric parameters of body bottom elements on the stress-strain state (SSS) of the truck with the general application of computer simulation methods was conducted. The nature of the change in static stress and displacement depending on the change in the proportions of the crosssection of the channel at fixed geometric dimensions of the workpiece and the thickness of the workpiece and the bottom material of the body has been studied. Analytical, numerical and experimental methods were used in the study of the stress-strain state of the metal structure of car bodies. Its weight minimization is an important aspect of a truck body design. Because an excess weight leads to increased production costs, reduced payload and reduced fuel efficiency. According to the concept of weight reduction with the provision of a given strength, the body model with variable parameters of the bottom elements is modelled and analyzed. CAD - body models and analysis of the stress-strain state of the channels of the bottom of the bodies have been performed using the software package SolidWorks.

Navigating the future: Evaluating two-level transport solutions for sustainable urban development

Stashkiv Mykola, Tson Oleg, Łakomy-Zinowik Marta, Basta Michał

Journal of Sustainable Development of Transport and Logistics

2023

Vol. 8, No. 2

91--112

Purpose: The purpose of this paper is to propose and evaluate two options for two-level transport solutions at the intersection of the bypass road and the Pidvolochyske Highway in Ternopil, Ukraine. The aim is to address the issues associated with the current road network passing through residential zones and present an optimal resolution for the intersection. Methodology: The methodology involves using the PTV Vissim software to conduct simulation modelling. The transport and operational indicators of the two options for two-level transport solutions, an elongated loop and two interconnected rings, are compared across different traffic intensities. Results: The results show that the transport solution with two roundabouts exhibits superior characteristics, particularly under high traffic flow conditions. The strengths and limitations of each solution are comprehensively delineated, encompassing factors like efficiency, cost-effectiveness, safety measures, and ecological impacts. Theoretical contribution: The paper contributes to advancing knowledge and practice in two-level transport solutions. It provides valuable insights for developing the transportation system in Ternopil and other post-conflict cities. The advantages and disadvantages of public-private partnerships (PPP) as a tool for attracting investments and innovations in transportation infrastructure are also discussed. Practical implications: The findings of this research can be used by professionals in transportation, urban planning, and ecology for infrastructure development. It also serves as a valuable resource for residents of Ternopil interested in fostering improvements to their city’s quality of life.

Innovative stress analysis and machine learning forecasting for semi-trailer truck body durability

Lyashuk Oleh, Levkovych Mykhailo, Stashkiv Mykola, Pastukh Oleh, Martyniuk Volodymyr, Mironov Dmytro, Rabe Marcin, Vovk Yuriy

Journal of Sustainable Development of Transport and Logistics

2023

Vol. 8, No. 2

43--57

This article presents an in-depth analysis of the stress-deformation state (SDS) in the bottom structure of a semi-trailer truck body. Engineering analysis was conducted utilizing the SolidWorks software, focusing on a comprehensive CAD model of the semi-trailer truck body. The study explored variations in SDS parameters resulting from alterations in the geometric parameters of the body bottom elements. The research investigated alterations in static stress and displacement relative to changes in the proportions of the cross-section of the channel while maintaining fixed geometric dimensions of the workpiece, thickness of the workpiece, and the material of the body bottom. Graphical representations were generated to illustrate the variations in static stress, displacement, and safety margin concerning the thickness of the shelf and channel. Additionally, dependencies were derived that correlate static stresses in the channel with the thickness of the channel wall and the thickness of the body bottom sheet. The study results were compiled and summarized, offering valuable insights into the stress-deformation state of the semi-trailer truck body's bottom. Furthermore, machine learning techniques, specifically the RandomForest algorithm, were implemented in a Python environment to predict changes in static stress based on various factors. The model's predictions were validated by comparing predicted static stress values with actual values on a test sample. These findings facilitate efficient selection of appropriately sized elements by predicting static stress values, employing the RandomForest machine learning algorithm.