Influence analysis of the main types of defects and damages on bearing capacity in reinforced concrete elements and their research methods

Lobodanov, Maksym; Vegera, Pavlo; Blikharskyy, Zinoviy

doi:10.30657/pea.2019.22.05

Cited by 17 publications

(4 citation statements)

References 4 publications

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“…Moreover, authors (Lobodanov et al, 2019) are aware that deformability and bearing capacity depend on the damage of an element. The thinning of the concrete cover of the reinforcement may lead to its corrosion, which must be considered in actual practice.…”

Section: Literature Reviewmentioning

confidence: 99%

Investigation of defective reinforced concrete beams with obtained damage of compressed area of concrete

Blikharskyy

Lobodanov

Vegera

2022

Production Engineering Archives

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In the building industry, it is a frequent cause of damage to elements at different stages: during transportation, operation, installation, etc. Since replacing an element is not always possible due to various circumstances, it entails significant financial losses, logistics, and others. For this reason, the expediency of studying the effect of damage on the bearing capacity of reinforced concrete elements is growing. This effect is dependent on its type and has significant variability. In the case of the combination of the defect and damage in reinforced concrete elements, the complexity of the research of this element increases significantly. In this article is discussed: a review of damaged reinforced concrete elements; researching the influence of the damage and additional factors on the element; developed testing methodology for bending reinforced concrete elements with damage to concrete in a compressed zone with insufficient reinforcement, when performing damage to the action of the load and during the action of the load, is presented; the influence on the deformability and bearing capacity of the variability of damage on the sample with insufficient reinforcement is reflected, taking into account the factor of change in the load at which the damage is performed; a comparison is made of the dependence of the change in the actual height of the compressed zone on the change in the load on the elements; implementation of conclusions on the result of the study.

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Section: Literature Reviewmentioning

confidence: 99%

Investigation of defective reinforced concrete beams with obtained damage of compressed area of concrete

Blikharskyy

Lobodanov

Vegera

2022

Production Engineering Archives

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“…In the works (Vavruš et al, 2019) research was conducted, aiming to indicate the need for control load testing of bridge structures to assess the accuracy of calculations and mathematical modeling in the design of structures. An important factor that will affect the accuracy of the mathematical model is the presence of damage and defects (Lobodanov et al, 2019), the impact of which cannot be taken into account without experimental data. According to research of , an important problem for operated reinforced concrete structures is intensive environmental impact, which could be the reason for local destruction and failure of structures.…”

Section: Introductionmentioning

confidence: 99%

Mathematical modelling of stress-strain state of steel-concrete beams with combined reinforcement

Selejdak

Bobalo

Blikharskyy

et al. 2023

Production Engineering Archives

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Most of the modern computer software for the building structures‘ calculation is based on mathematical dependencies which make it possible to analyse rather complex stress-strain state of structures subjected to loading. As a rule, the calculation is based on the finite element method and is reduced to the calculation of deformations arising in structures due to the action of external forces with the use of real strain diagrams of materials, σ-ε diagrams for concrete and reinforcement. Modern normative regulations for reinforced concrete structures‘ calculation are also based on the deformation model using material deformation diagrams, which are as close to the real ones, as possible. Therefore, this study was aimed to investigate in more detail the stress-strain state and the physical essence of the processes occurring in reinforced concrete structures with combined reinforcement according to mathematical approaches and regulations of DBN B.2.6-98:2009 and DSTU B. In 2.6-156:2010. Namely, in the research is analysed the combined reinforcement of S245 steel tapes and A1000 rebar, which is used in the production of reinforced concrete elements. The results of mathematical modelling were compared with the calculation results, according to DBN B.2.6-98: 2009 and DSTU B. B 2.6-156:2010, as well as with field experimental data. Therefore, the conclusion could be made, whether it is possible to use this technique with sufficient accuracy to calculate reinforced concrete structures with combined reinforcement.

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“…After a series of analyses, several ANN models were developed 7 . It is feasible to solve structural engineering problems by using intelligent algorithms such as neural networks 8 .…”

Section: Introductionmentioning

confidence: 99%

Automatic testing system for ceramsite concrete bearing capacity based on genetic algorithm

Liu

Xue

Zhao

et al. 2023

International Conference on Computer Application and Information Security (ICCAIS 2022)

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At present, the research work on recycled concrete is still relatively slow and backward, and many problems are not studied in detail enough. It only stays at the material level, and there is no in-depth research on the performance of recycled concrete structures. The purpose of this paper is to study the automatic testing system of ceramsite concrete bearing capacity based on genetic algorithm. A prediction model for the flexural and shear resistance of RC beams after high temperature, and the bearing capacity of RC columns after high temperature, based on BP neural network and GA-BP neural network, was established to prove the effectiveness and efficiency of the automatic test system based on ceramsite concrete bearing capacity accuracy. The overall structure of the system is analyzed, and the following conclusions are obtained: Compared with the BP neural network prediction model, the flexural and shear bearing capacity of the RC beam based on the GA-BP neural network after high temperature and the axial compression of the RC column after high temperature are analyzed. The relative error, absolute error, average error and root mean square of the predicted data obtained by the bias bearing capacity prediction model and the theoretical calculation value are smaller.

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Influence analysis of the main types of defects and damages on bearing capacity in reinforced concrete elements and their research methods

Cited by 17 publications

References 4 publications

Investigation of defective reinforced concrete beams with obtained damage of compressed area of concrete

Investigation of defective reinforced concrete beams with obtained damage of compressed area of concrete

Mathematical modelling of stress-strain state of steel-concrete beams with combined reinforcement

Automatic testing system for ceramsite concrete bearing capacity based on genetic algorithm

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