2020
DOI: 10.1007/978-3-030-57453-6_55
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Modeling of Cold-Formed Thin-Walled Steel Profile with the MBOR Fire Protection

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Cited by 4 publications
(7 citation statements)
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“…Numerical simulations are used to evaluate the methodology, predict the behavior of building structures, obtain temperature distributions, stress and strain fields [36][37][38][39]. Generally, the numerical model will first be validated with experimental data and then analyzed to better understand the performance of the structure under both mechanical and fire conditions.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…Numerical simulations are used to evaluate the methodology, predict the behavior of building structures, obtain temperature distributions, stress and strain fields [36][37][38][39]. Generally, the numerical model will first be validated with experimental data and then analyzed to better understand the performance of the structure under both mechanical and fire conditions.…”
Section: Methodsmentioning
confidence: 99%
“…In [38], a simulation of heating of offshore stationary platform structures in SP ELCUT is given, which showed good correlation with the experimental data; the consumption of mineral slabs for the bulkhead structure is predicted and the parameters of thermal conductivity and the heat capacity of the applied fire protection in the temperature range from 0 to 1000 • C are specified. In [39], the results of large-scale fire tests of lightweight thin-walled steel structures for fire protection efficiency in the SP ELCUT are presented. As a result, temperature-time curves of metal structures in the standard fire regime were obtained, which showed a good correlation between the simulation and the experimental data.…”
Section: Methodsmentioning
confidence: 99%
“…In general, it is assumed that the fireproofing composition is applied layer by layer and evenly over the entire surface of the protected structure with an intermediate drying procedure (lasting at least 4 h at ambient temperature +20 °C), conducted before the application of each additional (starting from the second) layer; if the design thickness of the fireproofing coating is 6 mm or more, on the treated surface of all external corners (ribs) of the structure, a reinforcing glass mesh is laid over the uncured layer of the fireproofing composition (Figure 5) [32]. Numerical simulation is used to predict the fire behavior of building structures and to obtain temperature distributions [33][34][35][36]. For the simulation of the thermophysical processes of steel structures, the authors used the software package (SP) QuickField 6.6 [37]; the possibility of the numerical simulation of the fire resistance of building structures has been repeatedly confirmed by the authors of scientific papers.…”
Section: Introductionmentioning
confidence: 99%
“…In [36], the simulation of the heating of structures of offshore stationary platforms was presented, which showed good correlation with the experimental results; the consumption of mineral boards for the bulkhead structure was predicted and the parameters of the thermal conductivity and heat capacity of the applied fire protection in the temperature range from 0 to 1000 °C were specified. In [35], the results of large-scale fire tests of lightweight thin-walled steel structures for fire protection The technology of applying a fire-retardant coating to the surface of metal structures also affects the fire protection efficiency of the coating and the fire resistance limits of the structure. In general, it is assumed that the fireproofing composition is applied layer by layer and evenly over the entire surface of the protected structure with an intermediate drying procedure (lasting at least 4 h at ambient temperature +20 • C), conducted before the application of each additional (starting from the second) layer; if the design thickness of the fireproofing coating is 6 mm or more, on the treated surface of all external corners (ribs) of the structure, a reinforcing glass mesh is laid over the uncured layer of the fireproofing composition (Figure 5) [32].…”
Section: Introductionmentioning
confidence: 99%
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