Finite-Element Reliability Analysis of Structures Subjected to Fire

Guo, Qianru; Jeffers, Ann E.

doi:10.1061/(asce)st.1943-541x.0001082

Cited by 36 publications

(25 citation statements)

References 28 publications

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“…It means that in the investigated case the FORM underestimates the failure probability with 9.3%. Guo and Jeffers observed that the FORM overestimates the probability; however in [6] the difference was quite significant contrary to this calculation. It is clear that the accuracy of reliability calculation depends on the type and formulation of limit state function as well, not just on the accuracy of the evaluation technic.…”

Section: Validation With Monte Carlo Simulationcontrasting

confidence: 41%

“…This point gives the fire resistance capacity of the structure in time unit, and as it is shown in Fig. 1, the limit state function is formulated on time basis contrary to other studies [6,7,9,10] where steel or maximum gas temperature, internal force or displacement is used for this purpose. First of all, it is practical to use the time as a measure of capacity and demand due to the fact that the interest of the designer is focused on the reliability according to the stability of the structure within the required time of evacuation, which is given by national or international standards.…”

Section: Proposed Methodologymentioning

confidence: 99%

“…This validation is important because Guo and Jeffers have pointed in that FORM can significantly differ from MCS by similar problems (reliability analysis of a column under fire exposure [6]). On the whole, 100,000 simulations (since the conditional probability is relatively high, lower number of simulations enough for reasonable accuracy) have been carried out for comparison, which is made at 30 minutes fire resistance time.…”

Section: Validation With Monte Carlo Simulationmentioning

confidence: 99%

“…Guo and Jeffers [6] presented a detailed discussion on the reliability calculation theory extended for calculation of the failure probability under fire exposure. They calculated the reliability of a simple pinned column with FORM (First Order Reliability Method), SORM and MCS [4].…”

Section: Introductionmentioning

confidence: 99%

“…The application of proposed methodology is illustrated through an example structure, namely a tapered portal frame structure protected by intumescent painting. 6 FORM is implemented in the framework due its effectiveness and reasonable accuracy. A given frame structure which has been designed according to prescriptive code, namely MSZ EN 1990:2011 (EC0), EC1-1-2 and EC3-1-2 [16, 1, 2] is studied.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Complex and comprehensive method for reliability calculation of structures under fire exposure

Balogh

Vigh

2016

Fire Safety Journal

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The reliability of structural systems has to be verified against failure caused by extreme effects, such as fire and seismic effects. To the best of the authors' knowledge, there is a lack of studies in the literature on comprehensive reliability calculation of complex structural systems; the available studies mainly deal with the reliability calculation of simple, separated elements. In this study, a methodology is presented for the calculation of reliability of structures under fire exposure, giving a more complex and comprehensive basis for the calculation of structural reliability than earlier studies in the literature: a) the reliability calculation does not focuses on one single element but the whole structure; b) the presented methodology is able to consider any type of fire curve; c) reliability analysis includes the nonlinear analysis of the structure, in this way the highly nonlinear structural response is followed; d) the structural reliability is assessed on time basis. The applicability of the proposed algorithm is presented through reliability calculation of tapered portal frame structure protected by intumescent coating, as an example structure. The probability of failure is calculated using First Order Reliability Method. The resulted probabilities are verified using Monte Carlo Simulation.

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Section: Validation With Monte Carlo Simulationcontrasting

confidence: 41%

Section: Proposed Methodologymentioning

confidence: 99%

Section: Validation With Monte Carlo Simulationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Complex and comprehensive method for reliability calculation of structures under fire exposure

Balogh

Vigh

2016

Fire Safety Journal

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An approach for developing probabilistic models for temperature‐dependent properties of construction materials from fire tests and small data

Karaki

Naser

2022

Fire and Materials

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Probabilistic approaches provide a more realistic look into assessing structures under fire conditions and overcome some limitations observed in the more traditional (deterministic) approaches. These approaches have also been introduced to the fire engineering domain, for example, fire probabilistic risk analysis and probabilistic structural fire engineering. In order to perform probabilistic‐based analysis, temperature‐dependent probabilistic models for material properties are needed. This paper presents a methodology to develop temperature‐dependent probabilistic models for the thermal and mechanical properties for commonly used construction materials, including normal‐strength, high‐strength, and high‐performance concrete and mild, high‐strength, and cold‐formed steels. The presented approach analyzes a comprehensive list of surveyed experimental data at different temperature groups, tests the goodness of fit for a number of distributions, and derives a continuous function to quantify temperature‐dependent parameters of the distribution. In addition, the newly derived models are also compared against those adopted by fire codes, and standards and others derived using machine learning. The newly developed models will complement existing efforts to facilitate probabilistic performance‐based structural fire engineering.

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Probabilistic evaluation of failure time of reinforced concrete frame in post‐earthquake fire scenario

Moradi,

Tavakoli,

Abdollahzade

2024

Structural Concrete

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This paper aims at assessing the failure time of a 7‐story reinforced concrete (RC) frame in a post‐earthquake fire (PEF) event probabilistically. Cumulative distribution functions (CDF) of the studied frame's failure time in various seismic load intensities have been calculated and presented with the aid of Monte Carlo analysis. Seismic load intensity, failure time, and failure probability are three parameters that are correlated through probabilistic analysis. The effects of cracking, spalling, and residual deformations resulted from the seismic load are considered in the strength of structure against the fire load. Seismic load intensity, materials properties, gravity load, and geometry are considered as random variables and one probabilistic analysis has been carried out for each seismic load intensity. The results have illustrated that in low seismic load intensities, probabilistic values of failure time in a structure subjected to pure fire load are equal to the one exposed to PEF. With the increase of seismic load intensity, the effects of cracking, spalling, and residual deformations would lead to a decline in the strength of structural elements against PEF scenario. The failure time in 50% failure probability for Sa = 0.2 g, Sa = 1 g, and Sa = 2 g intensities has been calculated as 14,300, 12,200, and 5100 s, respectively. The analysis results have shown that in an unspecified seismic load intensity, the failure time of the 7‐story RC frame for the 50% occurrence probability is equal to 9750 s.

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Finite-Element Reliability Analysis of Structures Subjected to Fire

Cited by 36 publications

References 28 publications

Complex and comprehensive method for reliability calculation of structures under fire exposure

Complex and comprehensive method for reliability calculation of structures under fire exposure

An approach for developing probabilistic models for temperature‐dependent properties of construction materials from fire tests and small data

Probabilistic evaluation of failure time of reinforced concrete frame in post‐earthquake fire scenario

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