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I. Boko, N. Torić, B. Peroš (2012)
Structural fire design parameters and procedures – analysis of the potential of Eurocode 3Materialwissenschaft und Werkstofftechnik, 43
Jian Jiang, A. Usmani, Guoqiang Li (2014)
Modelling of Steel-Concrete Composite Structures in Fire Using OpenSeesAdvances in Structural Engineering, 17
J. Franssen, G. Cooke, D. Latham (1995)
Numerical simulation of a full scale fire test on a loaded steel frameworkJournal of Constructional Steel Research, 35
Yong Wang, I. Burgess, F. Wald, M. Gillie (2012)
Performance-Based Fire Engineering of Structures
Liming Jiang, A. Usmani (2018)
Computational performance of beam-column elements in modelling structural members subjected to localised fireEngineering Structures, 156
R. Walls, C. Viljoen, H. Clercq (2019)
Parametric investigation into the cross-sectional stress-strain behaviour, stiffness and thermal forces of steel, concrete and composite beams exposed to fireJournal of Structural Fire Engineering
E. Rackauskaite, P. Kotsovinos, G. Rein (2017)
Model parameter sensitivity and benchmarking of the explicit dynamic solver of LS-DYNA for structural analysis in case of fireFire Safety Journal, 90
R. Walls, C. Viljoen, Hennie Clercq (2018)
Analysis of Structures in Fire as Simplified Skeletal Frames Using a Customised Beam Finite ElementFire Technology, 54
Jian Jiang, Liming Jiang, P. Kotsovinos, Jian Zhang, A. Usmani, F. McKenna, Guoqiang Li (2015)
OpenSees Software Architecture for the Analysis of Structures in FireJ. Comput. Civ. Eng., 29
Jian Jiang, A. Usmani (2013)
Modeling of steel frame structures in fire using OpenSeesComputers & Structures, 118
The fire beam element method is a tool for structural fire analyses that simplifies a structure into a skeletal frame consisting of only beam and column elements. It considers a shifting neutral axis of each beam element, which is updated throughout an analysis. This method was implemented in the OpenSees software environment by adding two subclasses: one for the fire beam element added to the element class, and one for the member section, in which the neutral axis is iteratively adjusted for non-uniform temperature profiles. To validate the implemented model, three benchmark case studies were sourced from literature: (1) a heated cantilever beam with an analytical solution, (2) a steel beam in a furnace with high axial and bending forces and (3) a two-dimensional steel frame in a fire with complex behaviour such as non-linear heating, restraint and buckling. For (1) the fire beam element predicts deformations identical to an analytical solution. For (2) the fire beam element method simulates deformations with good accuracy across the entire time domain relative to experimental data, and simulations in the literature using Vulcan, although with experimental deflections typically being underestimated. For (3) fire beam element predictions are compared to experimental data and models developed in CEFICOSS, ABAQUS, SAFIR and LS-DYNA. Trends are typically accurately captured, with percentage differences varying. Runaway failure is predicted with 2 min of experimental data. A sensitivity analysis of the fire beam element model on mesh size of elements and fibres showed the runtime to be more sensitive to the number of elements than the number of fibres per element.
Advances in Structural Engineering – SAGE
Published: Nov 1, 2020
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