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Probabilistic model and experimental identification of screw-attachment in plasterboard

Abstract : In this paper, one provides a robust modelling for the screw-attachment of large light partition wall between plasterboard (CPC) plate and metallic frame. The analysis of shear behaviour of this attachment under mechanic loads has been carried out by using an experimental approach taking into account the complexity of the mechanical systems. A deterministic model is then proposed to fit the experimental results. A mean model is identified using the experiments. Since there is variability in the experimental results and since the mean model corresponds to a rough approximation, there are uncertainties in the mean model which are taken into account with a parameter probabilistic approach. The probabilistic approach of uncertain parameters is constructed using the Maximum Entropy Principle under the constraints defined by the available information. The identification of unknown parameters of the probability model is performed using the experimental data which lead us to an optimization problem which has to be solved. Finally, the numerical results are presented and validated with experiments.
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Submitted on : Monday, April 2, 2012 - 12:16:48 PM
Last modification on : Thursday, March 19, 2020 - 11:52:03 AM
Long-term archiving on: : Tuesday, July 3, 2012 - 2:31:58 AM

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T. T. Do, Christian Soize, J.-V. Heck. Probabilistic model and experimental identification of screw-attachment in plasterboard. 4th International Conference on Computation Methods and Experiments in Materials Characterisation Location: New Forest, ENGLAND Date: JUN 17-19, 2009, Jun 2009, New Forest, United Kingdom. pp.115-123, ⟨10.2495/MC090111⟩. ⟨hal-00684509⟩

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