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Title | Errors and uncertainties in design and construction of textile reinforced concrete structures: выпускная квалификационная работа магистра: направление 08.04.01 «Строительство» ; образовательная программа 08.04.01_12 «Гражданское строительство (международная образовательная программа) / Civil Engineering (International Educational Program)» |
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Creators | Азами Абдуллах |
Scientific adviser | Столяров Олег Николаевич |
Organization | Санкт-Петербургский политехнический университет Петра Великого. Инженерно-строительный институт |
Imprint | Санкт-Петербург, 2024 |
Collection | Выпускные квалификационные работы; Общая коллекция |
Subjects | textile reinforced concrete; non-corrosive; design methodologies; experimental data; strength prediction models; arrhenius relationship model |
Document type | Master graduation qualification work |
File type | |
Language | Russian |
Level of education | Master |
Speciality code (FGOS) | 08.04.01 |
Speciality group (FGOS) | 080000 - Техника и технологии строительства |
DOI | 10.18720/SPBPU/3/2024/vr/vr24-5865 |
Rights | Доступ по паролю из сети Интернет (чтение, печать, копирование) |
Additionally | New arrival |
Record key | ru\spstu\vkr\33116 |
Record create date | 8/29/2024 |
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The utilization of steel-reinforced concrete in construction has historically faced challenges due to corrosion concerns. In response, strategies such as increasing concrete cover have been implemented, leading to larger structural dimensions. In the past two decades, a promising alternative has emerged in the form of Textile Reinforced Concrete (TRC), which provides a non-corrosive and lightweight solution. This thesis contributes by conducting a comprehensive comparative analysis of four TRC design methodologies and experimental data. The result of the comparative analysis shows that the first approach (tensile strength) is simple and conservative but underestimates the capacity. The second approach (Balanced section) is more accurate than the first, but it is still relatively simple and may not capture complex behavior. The third approach (Tension failure) is the most accurate and exhibits the real behavior of TRC. In contrast, the fourth approach (Strain-Hardening Model) shows a good balance between accuracy and complexity but may not capture all material behaviors. It is crucial to acknowledge that all investigated approaches share certain limitations. Furthermore, this research aims to develop two strength prediction models. The first model establishes a relationship between the conditioning temperature and the duration of accelerated exposure. Additionally, the second model contributes to developing an Arrhenius relationship model in conjunction with the time shift factor method. The results from the two models demonstrate the service life of various textile materials over 100 years. This research contributes to the understanding of TRC design methodologies and the long-term behavior of textile materials.
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