Percorrer por autor "Ben Ammar, Hiba"
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- Numerical simulation of non-load bearing lsf double walls under firePublication . Ben Ammar, Hiba; Piloto, P.A.G.; Yousfi, IsmailIn recent years, light steel frame (LSF) structures, such as cold formed steel wall systems, have been used more and more, but there is a lack of adequate understanding of their fire performance. Traditionally, the fire resistance index of such non-loadbearing LSF walls, it is based on an approximate descriptive method developed on the basis of a limited fire test. Building fire safety is generally viewed as very important by the construction industry and the community as a whole. Gypsum board is widely used around the world to protect thin gauge steel frame (LSF) walls. Gypsum contains free water, which is chemically bound in its crystal structure. Plasterboard also contains gypsum (CaSO4.2H2O) and calcium carbonate (CaCO3). The evaporation of the gypsum and the decomposition of the calcium carbonate absorb heat, thus protecting the LSF wall from fire. [76] developed an innovative system of composite wall panels whose insulation of gypsum exterior walls and insulation of internal cavities (fiberglass) can improve the thermal and structural performance of LSF wall panels under conditions fire. In order to understand the performance of gypsum board and LSF wall panels under standard fire conditions, numerous experiments were carried out at the Fire Research Laboratory of the Queensland University of Technology [76] in (2018). Under standard fire protection conditions, Type X single plasterboard and non-load bearing LSF wall panels have been tested for fire protection. However, no suitable digital model has been developed to study the thermal performance of LSF walls using innovative composite panels under standard fire conditions. It is inacceptable to continue to rely on expensive and time-consuming fire tests. Based on laboratory tests, a review of the literature and a comparison of finite element analysis results of panel components, appropriate values for the important thermal properties of gypsum panels and insulating materials have been obtained [56], been proposed Sultan [56].The important thermal properties (thermal conductivity, specific heat capacity and density) of plasterboard and insulating materials were proposed [56] as a function of temperature and used in the digital model of non-load-bearing LSF wall panels. Using these thermal properties, the developed finite element model can accurately predict the values. While there are many complexities in LSF fireless wall systems, the component temperature profile reasonably predicts the temperature distribution of the systems of non-loadbearing LSF walls. This article presents some informations of the Finite Element Model of Gypsum Board and LSF Non-Loadbearing Wall Panel Components, including the Finite Element Model of Composite Panels developed [76] . This article developed by [76] is based on 2 small-scale tests to verify and compare the thermal performance of composite panels made of different thermal insulation materials of different densities and thicknesses, and offers corresponding suggestions for improving LSF walls protected by these materials to composite panel. It also provides thermal performance data of LSF wall system and demonstrates the excellent performance of LSF wall system using composite panels, uses finite elements developed from the LSF wall model to provide a new LSF wall system with higher fire resistance. The developed finite element model is particularly useful for comparing the thermal performance of different wall panel systems without the need for lengthy and expensive fire tests. This thesis presents the numerical analysis to determine the thermal response of each model throughout fire exposure using ANSYS® Multiphysics. It was verified that the use of different experimental curves to represent the evolution of the temperature inside cavities or insulating blankets was essential to obtain better numerical results. This thesis compares the fire resistance of two models (with insulating layer and without insulating layer) and come up with a parametric analysis.