Reliability-based evaluation of the inherent safety presumptions in common fire safety design

Coile, Ruben Van; Caspeele, Robby; Taerwe, Luc

doi:10.1016/j.engstruct.2014.06.007

Cited by 25 publications

(11 citation statements)

References 28 publications

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“…The concrete parameters are listed in Table 1. As shown in Table 1, these statistical parameters are selected based on the Chinese Code (GB2010), BS(2004) and the research of Cai(2016) and (Coile et al,2014). To measure the errors of the analysis caused by different loading values, the following load ratio was introduced:…”

Section: Statistical Parameters Of the Variablesmentioning

confidence: 99%

Post-fire reliability analysis of concrete beams retrofitted with CFRPs: a new approach

Cai

Zhang

2020

Proceedings of the Institution of Civil Engineers - Structures

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This study proposed a new reliability analysis approach for the flexural capacity of postfire reinforced concrete (RC) beams retrofitted with carbon fiber reinforced polymers/plastics (CFRPs). In this approach, the thermal parameters of RC beams were determined first to enable heat transfer analysis in ABAQUS. Based on the thermal response obtained from the heat transfer analysis, a section method is used to calculate the postfire residual flexural capacity of RC beams. The reliability analysis of the beams after strength reduction was subsequently performed using the Monte Carlo method. The effects of fire exposure time, concrete cover thickness, and CFRP reinforcement ratio on the reliability of the flexural capacity of RC beams after fire exposure were studied. This new approach was found to be accurate and effective. It provided an effective reliable model for the evaluation of the mechanical properties of post-fire RC beams strengthened with CFRPs and subsequent reliability analysis.

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Section: Statistical Parameters Of the Variablesmentioning

confidence: 99%

Post-fire reliability analysis of concrete beams retrofitted with CFRPs: a new approach

Cai

Zhang

2020

Proceedings of the Institution of Civil Engineers - Structures

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“…Out of the available probabilistic approaches, the development of fragility curves has been found to be popular among researchers as it is conceptually easy to understand and allows faster design iterations [5]. Although available probabilistic methodologies, such as the development of fire fragility curves, can contribute to enable a safe and reliable design for fire exposed structures [2][3][4][5][6], their implementation has been found arduous and computationally challenging. The commonly large computational demand can mainly be attributed to the multi-step calculation procedure required for fire analysis of structures, together with the need for a large number of structural evaluations for probabilistic estimations.…”

Section: Introductionmentioning

confidence: 99%

“…The commonly large computational demand can mainly be attributed to the multi-step calculation procedure required for fire analysis of structures, together with the need for a large number of structural evaluations for probabilistic estimations. For instance, the Monte Carlo approach adopted for reliability assessment of reinforced concrete (RC) slabs by Van Coile et al [6] involves about 10,000 structural evaluations, demonstrating substantial computational demand. A similar difficulty can be observed in the probabilistic studies carried out by Guo et al, and Hopkin et al [7][8] for the probabilistic evaluation of protected steel elements.…”

Section: Introductionmentioning

confidence: 99%

Generalized fragility curves for concrete columns exposed to fire through surrogate modelling

Chaudhary¹,

Jovanović²,

Gernay³

et al. 2020

Proceedings of the 11th International Conference on Structures in Fire (SiF2020)

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Common structural fire design relies on recommendations from design codes, or (a single or small set of) more advanced numerical analyses. When applying such procedures to the design of structures under normal loading conditions, adequate safety is ensured through calibrated safety factors and ample experience with structural failures. This is however not the case when considering accidental fire loading, where the stochasticity in the structural fire behaviour is rarely fully acknowledged. Therefore, a significant interest in the use of probabilistic approaches to evaluate structural fire performance, which take into account the uncertainty associated with model parameters, can be observed among researchers, with a special focus on the development of fragility curves. The calculation of fragility curves is, however, a laborious task, demanding huge computational expense, mainly attributed to the adoption of advanced calculation procedures and the need for a large number of model evaluations. The present study contributes to addressing the limitations imposed by these computational requirements through the development of surrogate models for fire exposed structural members. To achieve this, a framework for carrying out probabilistic studies of structures under fire through the use of surrogate modelling is presented. The framework is applied to a concrete column subjected to a standard fire and proves efficiency and accurateness for the selected simple example. Future studies will investigate the applicability of the framework to structural assemblies under physically-based fires.

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“…Reliability-based structural fire engineering has progressed in recent years. Examples in the literature include the application of the Monte Carlo method and various variable reduction techniques to determine the probability of failure and/ or the reliability of both protected and unprotected elements [11], to evaluate the behaviour of steel beams under fire, taking account of uncertainties in the fire load [12], to evaluate designs carried out according to EN 1992-1-2, and to study the influence of the input variables for a slab the ISO 834 standard fire [13]. A new set of fire resistance periods in the development of codes of practice DD9999 were developed in [14], and a risk based methodology was defined, while the fundamental design challenges in the context of time equivalence were addressed in [15].…”

Section: Introductionmentioning

confidence: 99%

Probabilistic Study of the Resistance of a Simply-Supported Reinforced Concrete Slab According to Eurocode Parametric Fire

et al. 2018

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We present the application of a simple probabilistic methodology to determine the reliability of a structural element exposed to fire when designed following Eurocode 1-1-2 (EC1). Eurocodes are being used extensively within the European Union in the design of many buildings and structures. Here, the methodology is applied to a simply-supported, reinforced concrete slab 180 mm thick, with a standard load bearing fire resistance of 90 min. The slab is subjected to a fire in an office compartment of 420 m 2 floor area and 4 m height. Temperature time curves are produced using the EC1 parametric fire curve, which assumes uniform temperature and a uniform burning condition for the fire. Heat transfer calculations identify the plausible worst case scenarios in terms of maximum rebar temperature. We found that a ventilation-controlled fire with opening factor 0.02 m 1/2 results in a maximum rebar temperature of 448°C after 102 min of fire exposure. Sensitivity analyses to the main parameters in the EC1 fire curves and in the EC1 heat transfer calculations are performed using a one-at-a-time (OAT) method. The failure probability is then calculated for a series of input parameters using the Monte Carlo method. The results show that this slab has a 0.3% probability of failure when the compartment is designed with all layers of safety in place (detection and sprinkler systems, safe access route, and fire fighting devices are available). Unavailability of sprinkler systems results in a 1% probability of failure. When both sprinkler system and detection are not available in the building, the probability of failure is 8%. This novel study conducts for the first time a probabilistic calculation using the EC1 parametric curve, helping engineers to identify the most critical design fires and the probabilistic resistance assumed in EC1.

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Reliability-based evaluation of the inherent safety presumptions in common fire safety design

Cited by 25 publications

References 28 publications

Post-fire reliability analysis of concrete beams retrofitted with CFRPs: a new approach

Post-fire reliability analysis of concrete beams retrofitted with CFRPs: a new approach

Generalized fragility curves for concrete columns exposed to fire through surrogate modelling

Probabilistic Study of the Resistance of a Simply-Supported Reinforced Concrete Slab According to Eurocode Parametric Fire

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