Finite-element two-stage modelling of stress-strain state parameters of a planar truss with parallel chords
DOI:
https://doi.org/10.20535/2521-1943.2024.8.4(103).315657Keywords:
plane truss, finite elements, stress-strain state, ANSYS Workbench, LIRA-SAPR 2016 R5Abstract
This paper investigates a planar truss with parallel belts made of VCt3ps steel. The stress-strain state (SSS) of such a truss is studied using a two-stage numerical modelling method based on the application of LIRA-SAPR 2016 R5 and ANSYS Workbench 14.5 software packages.
The main problem is to improve the accuracy of determining the parameters of the stress-strain state of flat trusses, which will reduce their material consumption and design complexity. This will facilitate the optimization of manufacturing processes in construction and engineering.
The paper proposes a two-stage modelling methodology that involves the use of two software packages. At the first stage, a finite-element model is created in LIRA-SAPR, where the preliminary parameters of the SSS are determined. At the second stage, this model was detailed in ANSYS Workbench. Critical zones in the truss nodes where stresses are maximum were identified, which is key for further design.
The modelling efficiency is due to the integration of data from both software packages. This makes it possible to compensate for the limitations of each of them separately, in particular in modelling nodes with stress concentrations. The methodology provides visibility of the stress-strain state parameters, which contributes to the effective analysis of the data obtained.
The work demonstrates the effectiveness of a two-stage approach to modelling the stress-strain state, which has made it possible to achieve efficiency in determining the parameters of the stress-strain state of a truss. The combination of LIRA-CAD and ANSYS allows to effectively take into account both the overall strength characteristics of the structure and local deformations and stress concentration zones.
The results of the study can be applied in the construction of industrial and public buildings, bridges, as well as in other industries, including mechanical engineering, where parallel girders are used. The methodology ensures the optimisation of material costs and labour costs during design, which is critical for large-scale engineering projects.
References
- Y. Shved, Y. Kovalchuk, N. Shynhera, V. Voronchak, “Fatigue damage of the heel joint of welded roof truss”, Scientific Jour-nal of TNTU, Vol. 99(3), pp. 28–33, 2020. DOI: https://doi.org/10.33108/visnyk_tntu2020.03.028.
- M. Basara, Y. Kovalchuk, N. Shynhera, “Durability of a welded truss under cyclic loads”, Innovative Solution in Modern Sci-ence, Vol. 5, No. 41, pp. 147–158, 2021. DOI: https://doi.org/10.26886/2414-634X.5(41)2020.11.
- Y. Kovalchuk, N. Shynhera, Y. Shved, “Formation of input information arrays for computer simulation of welded trusses be-havior under thermal force effects”, Scientific Journal of TNTU, Vol. 110, No. 2, pp. 118–124, 2023. DOI: https://doi.org/10.33108/visnyk_tntu2023.02.118.
- H. Liu, Z. Yang, T. Zhou, L. Wang, Z. Chen, “Study on updating finite element model of steel truss structure based on knowledge-enhanced deep reinforcement learning”, Engineering Structures, Vol. 316, 118576, 2024. DOI: https://doi.org/10.1016/j.engstruct.2024.118576.
- F. Parisi, A.M. Mangini, M.P. Fanti, Jose M. Adam, “Automated location of steel truss bridge damage using machine learning and raw strain sensor data”, Automation in Construction, Vol. 138, 104249, 2022, https://doi.org/10.1016/j.autcon.2022.104249.
- M. Hohol, G. Gasii, V. Pents, D. Sydorak, Structural–parametric synthesis of steel combined trusses. In International Confer-ence building innovations, pp. 163–171, 2020. DOI: https://doi.org/10.1007/978-3-030-85043-2_16.
- S. Hudz, L. Storozhenko, G. Gasii, O. Hasii, Features of operation and design of steel sloping roof purlins. In International Conference building innovations, pp. 65–73, 2019. DOI: https://doi.org/10.1007/978-3-030-42939-3_8.
- T. N. Huynh, D. T. Do, J. Lee, “Q-Learning-based parameter control in differential evolution for structural optimization”, Ap-plied Soft Computing, Vol. 107, 107464, 2021. DOI: https://doi.org/10.1016/j.asoc.2021.107464.
- A. Kaveh, N. Khodadadi, S. Talatahari, “A comparative study for the optimal design of steel structures using CSS and ACSS algorithms”, Iran Univ Sci Technol, Vol. 11(1), pp. 31–54, 2021. https://ijoce.iust.ac.ir/article-1-464-en.pdf.
- N. Khodadadi, S. Mirjalili, “Truss optimization with natural frequency constraints using generalized normal distribution optimi-zation”, Appl Intell, Vol. 52, pp. 10384–10397, 2022. https://doi.org/10.1007/s10489-021-03051-5.
- E. Strelets-Streletsky, A. Zhuravlev, R. Vodopyanov, LIRA-SAD. Book I. Fundamentals LIRALAND Publishing House, 2019.
- V. Vasylkiv, L. Danylchenko, D. Radyk, O. Divdyk, Methodical workshop on the topic: ‘Engineering analysis in Ansys Work-bench’ in the discipline: ‘Computer modelling of materials processing processes’ for practical classes and independent work of applicants for the educational level of Doctor of Philosophy in speciality 131 “Applied Mechanics”. Ternopil: Ternopil Ivan Pului National Technical University, 2021. https://elartu.tntu.edu.ua/handle/lib/35162.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 Максим Омелян
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under CC BY 4.0 that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work