Assessment of steel truss fire safety in terms of the system reliability analysis

Kubicka, Katarzyna; Obara, Paulina; Radoń, Urszula; Szaniec, Waldemar

doi:10.1016/j.acme.2018.12.002

Cited by 17 publications

(14 citation statements)

References 7 publications

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“…Due to the fact that the structure is statically determinate, during the whole fire analysis, internal forces remain the same as in the basic situation. The computations, aimed at finding axial forces, strains, and displacements, are run with the MES3D program [32][33][34]. The computations proceeded in two steps.…”

Section: Resultsmentioning

confidence: 99%

Influence of the Thermal Insulation Type and Thickness on the Structure Mechanical Response Under Fire Conditions

2019

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The concept of fire safety covers an extremely vast scope of issues. To ensure an adequate fire safety level, it is necessary to combine research and actions in several fields, such as the mathematical, physical, or numerical modelling of a fire phenomenon. Another problem is to design different types of fire protection, including alarm systems, sprinkler systems, and also roads and evacuation systems, in a manner that ensures maximum safety for the building’s users. A vital issue is the analysis of the static-strength response of the structure under fire conditions. This study, concerned with such analyses, is limited to steel truss structures. In technical approvals, manufacturers of fire-proofing materials do not account for the character of the performance of individual structural members. The components in compression need thicker insulation than those in tension. This phenomenon is related to the fact that under fire conditions, the flexural buckling coefficient in compressed members is abruptly reduced with an increase in temperature. In turn, this increase in temperature leads to a fast reduction in resistance. In addition, members in tension have much higher resistance than those in compression in the basic design situation, i.e., at the instant of t = 0 min. Consequently, even a considerable decrease in the resistance of tension members is not as dangerous as that of compression members. Therefore, due to the nature of the performance of individual elements, fire-proofing insulation of every steel structure should be computationally verified. Additionally, in this paper, the influence of the type of fire insulation on the mechanical response of the structure was investigated. Calculations were carried out for different types of sprayed-on insulation, and also for contour and box insulation panels. The graphs show the behaviour of the elastic modulus, the yield point, and the resistance of the elements in the successive minutes of the fire for the different methods of fire protection used. The best results were obtained for vermiculite and gypsum spray.

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Section: Resultsmentioning

confidence: 99%

Influence of the Thermal Insulation Type and Thickness on the Structure Mechanical Response Under Fire Conditions

2019

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“…For static-strength calculations, the MES3D module, designed by the authors, was employed. The MES3D program was developed at the Kielce University of Technology [ 44 ]. It is constantly being developed in terms of computational capabilities.…”

Section: Methodsmentioning

confidence: 99%

“…UNIPASS is a probabilistic evaluation software that provides the ability to model uncertainty, define probability distribution variables, and probabilistic models and responses [ 37 ]. The use of reliability analysis and of the finite element method has been described by many researchers (Lee and Ang [ 38 ], Engelstad and Reddy [ 39 ], Mahadevan and Mehty [ 40 ], Zabojszcza and Radoń [ 41 , 42 ], Mochocki et al [ 43 ], Kubicka et al [ 44 ]).…”

Section: Introductionmentioning

confidence: 99%

Probabilistic Approach to Limit States of a Steel Dome

2021

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In this paper, Numpress Explore software, developed at the Institute of Fundamental Technological Research of the Polish Academy of Sciences (IPPT PAN), was used to conduct reliability analyses. For static-strength calculations, the MES3D module, designed by the authors, was employed. Ultimate limit state was defined as condition of non-exceedance of the capacity value, resulting from the stability criterion of the bent and compressed element. The serviceability limit state was defined as the condition of non-exceedance of allowable vertical displacement. The above conditions constitute implicit forms of random variable functions; therefore, it was necessary to build an interface between the Numpress Explore and MES3D programs. In the study, a comparative analysis of two cases was carried out. As regards the first case, all adopted random variables had a normal distribution. The second case involved a more accurate description of the quantities mentioned. A normal distribution can be adopted for the description of, e.g., the randomness in the location of the structure nodes, and also the randomness of the multiplier of permanent loads. In actual systems, the distribution of certain loads deviates substantially from the Gaussian distribution. Consequently, adopting the assumption that the loads have a normal distribution can lead to gross errors in the assessment of structural safety. The distribution of loads resulting from atmospheric conditions is decidedly non-Gaussian in character. The Gumbel distribution was used in this study to describe snow and wind loads. The modulus of elasticity and cross-sectional area were described by means of a log-normal distribution. The adopted random variables were independent. Additionally, based on an analysis of the elasticity index, the random variables most affect the failure probability in the ultimate limit state and serviceability limit state were estimated.

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“…The system approach includes both determination of reliability models and reliability analysis. This type of the reliability analysis was used, among others, in (Biegus, 1977; Thoft-Christensen and Baker, 1982; Woliński and Wróbel, 2001;Park et al, 2004;Kłosowska et al, 2017;Kubicka et al, 2019;Mochocki et al, 2018a,b;Mochocki and Radoń, 2019).…”

Section: Introductionmentioning

confidence: 99%

Impact of the wind load probability distribution and connection types on the reliability index of truss towers

Mochocki¹,

Obara²,

Radoń³

2020

Journal of Theoretical and Applied Mechanics

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The paper concerns the analysis of reliability of three truss towers performed with the system approach. The first stage of the reliability analysis involved determination of the reliability index for trusses while assuming the same reliability of elements. In the second stage, assessment of the reliability was made according to Eurocodes. The impact of the wind load probability distribution and connection types in towers on their reliability was analysed. In the capacity function, the following random variables were taken into account: cross-sectional area, yield strength, modulus of elasticity, minimum moment of inertia, and length of the element.

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Assessment of steel truss fire safety in terms of the system reliability analysis

Cited by 17 publications

References 7 publications

Influence of the Thermal Insulation Type and Thickness on the Structure Mechanical Response Under Fire Conditions

Influence of the Thermal Insulation Type and Thickness on the Structure Mechanical Response Under Fire Conditions

Probabilistic Approach to Limit States of a Steel Dome

Impact of the wind load probability distribution and connection types on the reliability index of truss towers

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