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The Probabilistic Calculation Model of RC Beams, Strengthened by RC Jacket

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Proceedings of EcoComfort 2020 (EcoComfort 2020)

Part of the book series: Lecture Notes in Civil Engineering ((LNCE,volume 100))

Abstract

According to the engineering method of calculation of normal cross section of reinforce concrete beam with use of the basic concepts of probability theory and random function theory, is proposed the probabilistic calculation model of rectangular reinforce concrete beams, strengthened by reinforce concrete jacket under loading. Real-operating conditions of the considered structures are modeled. Therefore, in calculation theory was included number of controlled random parameters, namely: strength of materials (concrete and steel rebar), geometric parameters of a cross section (before and after strengthening),and also the level of load at the moment of strengthening. Developed model was tested, based on the data of previous experimental studies of the stress-strain state of reinforce concrete beams’ series, strengthened by reinforce concrete jacket under loading – the values their corresponding qualitative and quantitative reliability indixes (reliability indexes β and probabilities of failure Q(β), respectively) are obtained. Analysis of the obtained results was also made.

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Authors and Affiliations

  1. Lviv Polytechnic National University, Lviv, 79013, Ukraine

    Roman Khmil, Roman Tytarenko, Yaroslav Blikharskyy & Pavlo Vegera

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  1. Roman Khmil
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  2. Roman Tytarenko
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  3. Yaroslav Blikharskyy
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  4. Pavlo Vegera
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Corresponding author

Correspondence to Yaroslav Blikharskyy .

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  1. Lviv Polytechnic National University, Lviv, Ukraine

    Zinoviy Blikharskyy

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Khmil, R., Tytarenko, R., Blikharskyy, Y., Vegera, P. (2021). The Probabilistic Calculation Model of RC Beams, Strengthened by RC Jacket. In: Blikharskyy, Z. (eds) Proceedings of EcoComfort 2020. EcoComfort 2020. Lecture Notes in Civil Engineering, vol 100. Springer, Cham. https://doi.org/10.1007/978-3-030-57340-9_23

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  • DOI: https://doi.org/10.1007/978-3-030-57340-9_23

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  • Online ISBN: 978-3-030-57340-9

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