Numerical modelling of load bearing light gauge steel frame wall systems exposed to realistic design fires

Ariyanayagam, Anthony; Mahendran, Mahen

doi:10.1016/j.tws.2014.01.003

Cited by 43 publications

(34 citation statements)

References 13 publications

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“…The developed finite element models were able to predict the stud failure times (FRR) within 5 min as shown in Table 1. Details of these fire tests and numerical studies of LSF walls exposed to realistic design fire curves are given in [24,25]. Despite the successful outcomes, fire tests in this study showed the practical difficulties of using realistic design fire time-temperature curves for conventional fire tests, in particular rapid fire curves.…”

Section: Introductionmentioning

confidence: 93%

“…Ariyanayagam and Mahendran's fire tests and finite element analysis (FEA) [24,25] were limited to the three LSF wall configurations and six realistic design fire curves. Hence there is a need to extend this research using a detailed parametric study using validated finite element models.…”

Section: Introductionmentioning

confidence: 99%

“…2). For this study the finite element model developed in [25] was used with stud temperatures obtained from the finite element thermal model developed by Keerthan et al [26] using SAFIR [27]. Based on the parametric study results a simplified design method was developed to obtain the FRR of LSF walls exposed to realistic fire curves.…”

Section: Introductionmentioning

confidence: 99%

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Fire design rules for load bearing cold-formed steel frame walls exposed to realistic design fire curves

Ariyanayagam

Mahendran

2015

Fire Safety Journal

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Keywords:Light gauge steel frame walls Realistic design fire curves Axial compression strength of studs Fire resistance rating Limiting temperature method Fire design rules Simplified design method a b s t r a c t Light gauge Steel Frame (LSF) walls are extensively used in the building industry due to the many advantages they provide over other wall systems. Although LSF walls have been used widely, fire design of LSF walls is based on approximate prescriptive methods based on limited fire tests. Also these fire tests were conducted using the standard fire curve (ISO 834-1, 1999 [1]) and the applicability of available design rules to realistic design fire curves has not been verified. This paper investigates the accuracy of existing fire design rules in the current cold-formed steel standards and the modifications proposed by previous researchers. Of these the recently developed design rules by [2] based on Eurocode 3 Part 1.3 (EN 1993(EN -1-3, 2006) and AS/NZS 4600 (Standards Australia (SA), 2005 [4]) for standard fire exposure (ISO 834-1, 1999 [1]) were investigated in detail to determine their applicability to predict the axial compression strengths and fire resistance ratings of LSF walls exposed to realistic design fire curves. This paper also presents the fire performance results of LSF walls exposed to a range of realistic fire curves obtained using a finite element analysis based parametric study. The results from the parametric study were used to develop a simplified design method based on the critical hot flange temperature to predict the fire resistance ratings of LSF walls exposed to realistic fire curves. Finally, the stud failure times (fire resistance rating) obtained from the fire design rules and the simplified design method were compared with parametric study results for LSF walls lined with single and double plasterboards, and externally insulated with rock fibres under realistic fire curves.

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Section: Introductionmentioning

confidence: 93%

Section: Introductionmentioning

confidence: 99%

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Fire design rules for load bearing cold-formed steel frame walls exposed to realistic design fire curves

Ariyanayagam

Mahendran

2015

Fire Safety Journal

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“…increase the FRLs). These strategies were experimentally and numerically evaluated by incorporating different stud sections (Kesawan and Mahendran, 2015), adding more plasterboard layers (Sultan and Kodur, 2000), changing the type of wall boards from conventionally used gypsum plasterboards to MgO boards and calcium silicate boards (Chen et al, 2012), using enhanced plasterboards by additives and fillers (Keerthan and Mahendran, 2013), including external or sandwiched insulation between two plasterboards (Kolarkar 2010), including different insulation materials with varying thickness and materials such as rock, glass, and cellulose fibre insulation materials (Gunalan, 2011) and evaluating the difference between realistic and standard fire curves (Ariyanayagam, 2013). Measured data from experimental investigations need to be evaluated with the use of numerical analysis results.…”

Section: Introductionmentioning

confidence: 99%

Numerical studies of gypsum plasterboard and MgO board lined LSF walls exposed to fire

Rusthi¹,

Poologanathan²,

Ariyanayagam³

et al. 2015

Proceedings of the Second International Conference on Performance-Based and Life-Cycle Structural Engineering (PLSE 2015)

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Fire resistance of cold-formed light gauge steel frame (LSF) wall systems is enhanced by lining them with single or multiple layers of wall boards with varying thermal properties. These wall boards are gypsum plasterboards or Magnesium Oxide (MgO) boards produced by different manufacturers. Thermal properties of these boards appear to show considerable variations and this can lead to varying fire resistance levels (FRL) for their wall systems. Currently FRLs of wall systems are determined using full scale fire tests, but they are time consuming and expensive. Recent research studies on the fire performance of LSF wall systems have used finite element studies to overcome this problem, but they were developed based on 1-D and 2-D finite element platform capable of performing either heat transfer or structural analysis separately. Hence in this research a 3-D finite element model was developed first for LSF walls lined with gypsum plasterboard and cavity insulation materials. Accurate thermal properties of these boards are essential for finite element modelling, and thus they were measured at both ambient and elevated temperatures. This experimental study included specific heat, relative density and thermal conductivity of boards. The developed 3-D finite element model was then validated using the available fire tests results of LSF walls lined with gypsum plasterboard, and is being used to investigate the fire performance of different LSF wall configurations. The tested MgO board exhibited significant variations in their thermal properties in comparison to gypsum plasterboards with about 50% loss of its initial mass at about 500 ºC compared to 16% for gypsum plasterboards. Hence the FRL of MgO board lined LSF wall systems is likely to be significantly reduced. This paper presents the details of this research study on the fire performance of LSF wall systems lined with gypsum plasterboard and MgO board including the developed 3-D finite element models, thermal property tests and the results. KEYWORDSThermal finite element model, Thermal properties, Gypsum plasterboard, MgO board, Fire performance.

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“…Basically, it became an integral part of the fire resistance assessment process of building materials, constructions or their parts, serving as an effective tool for the prediction of their behavior when exposed to fire [1]- [3].…”

Section: Introductionmentioning

confidence: 99%

Determination of Radiative Heat Transfer Coefficient at High Temperatures Using a Combined Experimental-Computational Technique

Kočí

Korecký

et al. 2015

Measurement Science Review

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The radiative heat transfer coefficient at high temperatures is determined using a combination of experimental measurement and computational modeling. In the experimental part, cement mortar specimen is heated in a laboratory furnace to 600°C and the temperature field inside is recorded using built-in K-type thermocouples connected to a data logger. The measured temperatures are then used as input parameters in the three dimensional computational modeling whose objective is to find the best correlation between the measured and calculated data via four free parameters, namely the thermal conductivity of the specimen, effective thermal conductivity of thermal insulation, and heat transfer coefficients at normal and high temperatures. The optimization procedure which is performed using the genetic algorithms provides the value of the high-temperature radiative heat transfer coefficient of 3.64 W/(m 2 K).

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Numerical modelling of load bearing light gauge steel frame wall systems exposed to realistic design fires

Cited by 43 publications

References 13 publications

Fire design rules for load bearing cold-formed steel frame walls exposed to realistic design fire curves

Fire design rules for load bearing cold-formed steel frame walls exposed to realistic design fire curves

Numerical studies of gypsum plasterboard and MgO board lined LSF walls exposed to fire

Determination of Radiative Heat Transfer Coefficient at High Temperatures Using a Combined Experimental-Computational Technique

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