| Title: | Cost optimization of reinforced concrete section according to flexural cracking |
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| Authors: | ID Jelušič, Primož (Author) |
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| Files: |  modelling-03-00016.pdf (1,55 MB)
MD5: 7A37908ACDCB97485DCD52D3555F1EA2
 https://www.mdpi.com/2673-3951/3/2/16
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| Language: | English |
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| Work type: | Article |
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| Typology: | 1.01 - Original Scientific Article |
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| Organization: | FGPA - Faculty of Civil Engineering, Transportation Engineering and Architecture
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| Abstract: | A series of distributed flexural cracks develop in reinforced concrete flexural elements
under the working load. The control of cracking in reinforced concrete is an important issue that
must be considered in the design of reinforced concrete structures. Crack width and spacing are
influenced by several factors, including the steel percentage, its distribution in the concrete crosssection, the concrete cover, and the concrete properties. In practice, however, a compromise must
be made between cracking, durability, and ease of construction and cost. This study presents the
optimal design of a reinforced concrete cross-section, using the optimization method of mixed-integer
nonlinear programming (MINLP) and the Eurocode standard. The MINLP optimization model
OPTCON was developed for this purpose. The model contains the objective function of the material
cost considering the crack width requirements. The crack width requirements can be satisfied by
direct calculation or by limiting the bar spacing. Due to the different crack width requirements, two
different economic designs of reinforced concrete sections were proposed. The case study presented
in this study demonstrates the value of the presented optimization approach. A direct comparison
between different methods for modelling cracking in reinforced concrete cross-sections, which has
not been done before, is also presented. |
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| Keywords: | crack width, cost optimization, optimal design, mixed-integer non-linear programming |
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| Publication status: | Published |
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| Publication version: | Version of Record |
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| Submitted for review: | 15.04.2022 |
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| Article acceptance date: | 24.05.2022 |
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| Publication date: | 25.05.2022 |
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| Publisher: | MDPI AG |
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| Year of publishing: | 2022 |
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| Number of pages: | str. 243-254 |
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| Numbering: | Vol. 3, iss. 2 |
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| PID: | 20.500.12556/DKUM-92041  |
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| UDC: | 624.131.37:519.85 |
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| ISSN on article: | 2673-3951 |
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| COBISS.SI-ID: | 109471235 |
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| DOI: | 10.3390/modelling3020016 |
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| Copyright: | © 2022 by the author |
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| Publication date in DKUM: | 13.03.2025 |
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| Views: | 173 |
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| Downloads: | 11 |
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| Metadata: |    |
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| Categories: | Misc.
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