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Dive into the research topics where Anthony Deloge Ariyanayagam is active.

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Featured researches published by Anthony Deloge Ariyanayagam.


Journal of Structural Fire Engineering | 2014

Experimental Study of Load-Bearing Cold-Formed Steel Walls Exposed to Realistic Design Fires

Anthony Deloge Ariyanayagam; Mahen Mahendran

This paper presents the details of full scale fire tests of LSF wall panels conducted using realistic fire time-temperature curves. Tests included eight LSF wall specimens of various configurations exposed to both parametric design and natural fire curves. Details of the fire test set-up, test procedure and the results including the measured time-temperature and deformation curves of LSF wall panels are presented along with wall stud failure modes and times. This paper also compares the structural and thermal behavioural characteristics of LSF wall studs with those based on the standard time-temperature curve. Finally, the stud failure times and temperatures are summarized for both standard and realistic design fire curves. This study provides the necessary test data to validate the numerical models of LSF wall panels and to undertake a detailed study into the structural and thermal performance of LSF wall panels exposed to realistic design fire curves.


Journal of Structural Fire Engineering | 2017

Investigating the fire performance of LSF wall systems using finite element analyses

Mohamed Rusthi; Poologanathan Keerthan; Mahen Mahendran; Anthony Deloge Ariyanayagam

This research was focused on investigating the fire performance of LSF wall systems by using 3-D heat transfer finite element models of existing LSF wall system configurations. The analysis results were validated by using the available fire test results of five different LSF wall configurations. The validated finite element models were then used to conduct a parametric study on a range of non-load bearing and load bearing LSF wall configurations to predict their fire resistance levels (FRLs) for varying load ratios. The fundamental understanding of the fire performance of LSF wall systems was improved by using the validated 3-D finite element models and the parametric study predictions. Using the 3-D finite element models developed in this research, a fully-coupled finite element modelling approach can be developed to investigate the thermal-mechanical behaviour of LSF wall systems simultaneously. This paper presents the details of this research and the results.


Science & Engineering Faculty | 2017

Thermal Performance of Magnesium Oxide Wall Board Using Numerical Modelling

Mohamed Rusthi; Poologanathan Keerthan; Mahen Mahendran; Anthony Deloge Ariyanayagam

Fire resistance of light gauge steel frame (LSF) walls can be enhanced by lining them with single or multiple layers of wall boards. This research is focused on the thermal performance of magnesium oxide (MgO) wall boards in comparison to the conventional gypsum plasterboards exposed to standard fire on one side. Thermal properties of MgO board and gypsum plasterboard were measured first and then used in the finite element heat transfer models of the two types of panels. The measured thermal property results show that MgO board will perform better than the gypsum plasterboards due to its higher specific heat values at elevated temperatures. However, MgO board loses 50 % of its initial mass at about 500 °C compared to 16 % for gypsum plasterboard. The developed finite element models were validated using the fire test results of gypsum plasterboards and then used to study the thermal performance of MgO board panels. Finite element analysis results show that when MgO board panels are exposed to standard fire on one side the rate of temperature rise on the ambient side is significantly reduced compared to gypsum plasterboard. This has the potential to improve the overall thermal performance of MgO board lined LSF walls and their fire resistance levels (FRL). However, full-scale fire tests are needed to confirm this. This paper presents the details of this investigation and the results.


Journal of Structural Fire Engineering | 2017

Energy-based time equivalent approach to determine the fire resistance ratings of light gauge steel frame walls exposed to realistic design fire curves

Anthony Deloge Ariyanayagam; Mahen Mahendran

Purpose This paper aims to present the details of a study undertaken to develop an energy-based time equivalent approach to obtain the fire resistance ratings (FRRs) of light gauge steel frame (LSF) walls exposed to realistic design fire curves. Design/methodology/approach The energy-based time equivalent method was developed based on the performance of a structural member exposed to a realistic design fire curve in comparison to that of the standard fire time – temperature curve. The FRR predicted by the energy-based method for LSF wall configurations exposed to both rapid and prolonged fires were compared with those from fire design rules and finite element analyses (FEA). Findings The proposed energy method can be used to obtain the FRR of LSF walls in case of prolonged fires and cannot be used for rapid fires as the computed FRRs were higher than the results from FEA and fire design rules due to the influence of thermal bowing and its magnification effects at a high temperature gradient across the studs for rapid fires. Originality/value The energy-based time equivalent method was developed based on equal fire severity principles. Three different wall configurations were considered and exposed to both rapid and prolonged fires. The FRR obtained from the energy-based method were compared with fire design rules and FEA results to assess the use of the energy-based method to predict the FRR of LSF walls.


10th International Conference on Advances in Steel Concrete Composite and Hybrid Structures | 2012

Finite Element Modelling of Load Bearing Steel Stud Walls under Real Building Fires

Anthony Deloge Ariyanayagam; Mahen Mahendran

Fire safety has become an important part in structural design due to the ever increasing loss of properties and lives during fires. Conventionally the fire rating of load bearing wall systems made of Light gauge Steel Frames (LSF) is determined using fire tests based on the standard time-temperature curve given in ISO 834 (ISO, 1999). The standard time-temperature curve given in ISO 834 (ISO, 1999) originated from the application of wood burning furnaces in the early 1900s. However, modern commercial and residential buildings make use of thermoplastic materials, which mean considerably high fuel loads. Hence a detailed fire research study into the performance of LSF walls was undertaken using the developed real fire curves based on Eurocode parametric curves (ECS, 2002) and Barnett’s BFD curves (Barnett, 2002) using both full scale fire tests and numerical studies. It included LSF walls without any insulation, and the recently developed externally insulated composite panel system. This paper presents the details of the numerical studies and the results. It also includes brief details of the development of real building fire curves and experimental studies.


Science & Engineering Faculty | 2012

Fire tests of load bearing steel stud walls exposed to real building fires

Anthony Deloge Ariyanayagam; Mahen Mahendran


Thin-walled Structures | 2017

Fire tests of non-load bearing light gauge steel frame walls lined with calcium silicate boards and gypsum plasterboards

Anthony Deloge Ariyanayagam; Mahen Mahendran


Frontiers of Structural and Civil Engineering | 2014

Development of realistic design fire time-temperature curves for the testing of cold-formed steel wall systems

Anthony Deloge Ariyanayagam; Mahen Mahendran


School of Civil Engineering & Built Environment; Science & Engineering Faculty | 2013

Fire safety of buildings based on realistic fire time-temperature curves

Anthony Deloge Ariyanayagam; Mahen Mahendran


School of Civil Engineering & Built Environment; School of Information Systems; Science & Engineering Faculty | 2013

Fire performance and design of light gauge steel frame wall systems exposed to realistic design fires

Anthony Deloge Ariyanayagam

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Mahen Mahendran

Queensland University of Technology

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Mohamed Rusthi

Queensland University of Technology

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Poologanathan Keerthan

Queensland University of Technology

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Keerthan Poologanathan

Queensland University of Technology

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Sivakumar Kesawan

Queensland University of Technology

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Shanmuganathan Gunalan

Queensland University of Technology

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