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dc.contributor.authorSadkovyi, Volodymyr
dc.contributor.authorAndronov, Volodymyr
dc.contributor.authorSemkiv, Oleg
dc.contributor.authorKovalov, Andrii
dc.contributor.authorRybka, Evgeniy
dc.contributor.authorOtrosh, Yurii
dc.contributor.authorUdianskyi, Mykola
dc.contributor.authorKoloskov, Volodymyr
dc.contributor.authorDanilin, Alexander
dc.contributor.authorKovalov, Pavlo
dc.contributor.editorSadkovyi, Volodymyr
dc.contributor.editorRybka, Evgeniy
dc.contributor.editorOtrosh, Yurii
dc.date.accessioned2024-03-04T17:44:34Z
dc.date.available2024-03-04T17:44:34Z
dc.date.issued2021-12-15
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/134944
dc.description.abstractThe scientific bases of ensuring fire resistance of reinforced concrete and steel building structures in the conditions of modern extreme influences are laid. The current state of fire safety of buildings and structures, as well as approaches, methods and tools for its assessment are analyzed. Analysis of emergencies and fires in the world has shown that the vast majority of them occur in buildings and structures. It is shown that the cause of catastrophic consequences and destruction is the non-compliance of the actual limit of fire resistance of building structures with regulatory requirements. This is due to the imperfection of methods and means of assessing the fire resistance of building structures, including fire-retardant. To overcome the shortcomings identified during the analysis, the paper develops physical and mathematical models of thermal processes occurring in the fire-retardant reinforced concrete structure. Based on the proposed models, a computational-experimental method for estimating the fire resistance of such structures has been developed. The efficiency of the proposed method was tested by identifying the relationship between the parameters of the fire-retardant plaster coating “Neospray” and the fire resistance of fire-retardant multi-hollow reinforced concrete floor. The study of fire resistance of steel structures is proposed to be carried out using reduced samples in the form of steel plates with dimensions of 500×500×5 mm. Based on the proposed models, a calculation and experimental method for estimating the fire resistance of steel structures, as well as an algorithm and procedures for its implementation have been developed. The verification of the efficiency of the proposed method was carried out in the ANSYS software package using the aged coating “Phoenix STS” and the coating “Amotherm Steel Wb” under heating conditions at the temperature of the hydrocarbon fire. The reliability of the developed models and methods is checked. It is established that random errors in temperature measurement significantly affect the accuracy of determining the thermophysical characteristics and limits of fire resistance. In general, the efficiency of the proposed calculation and experimental methods with sufficient accuracy for engineering calculations is confirmed.en_US
dc.languageEnglishen_US
dc.subject.classificationthema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TN Civil engineering, surveying and building::TNC Structural engineeringen_US
dc.subject.classificationthema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TN Civil engineering, surveying and building::TNK Building construction and materials::TNKF Fire protection and safetyen_US
dc.subject.otherFire resistanceen_US
dc.subject.otherFire resistance assessment methoden_US
dc.subject.otherFire protectionen_US
dc.subject.otherFire protective coatingsen_US
dc.subject.otherFireproof building structuresen_US
dc.subject.otherFire protection ability of coatingsen_US
dc.subject.otherFire temperature regimesen_US
dc.titleFire resistance of reinforced concrete and steel structuresen_US
dc.typebook
dc.description.versionPublisheden_US
oapen.identifier.doi10.15587/978-617-7319-43-5en_US
oapen.relation.isPublishedBy105e2329-8f11-44ef-beca-adf5b71eb8f4
oapen.relation.isbn978-617-7319-43-5en_US
oapen.pages180en_US
oapen.place.publicationKharkiven_US
oapen.peerreviewDouble-blind peer review
peerreview.review.typeFull text
peerreview.anonymityDouble-anonymised
peerreview.reviewer.typeExternal peer reviewer
peerreview.review.stagePre-publication
peerreview.open.reviewNo
peerreview.publish.responsibilityPublisher
peerreview.id5f38cc17-9a0f-4669-a4ef-9414b6b73418
peerreview.titleDouble-blind peer review


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