Wednesday, March 18th, 2020. Time: 15h.
Place: O.C. Zienkiewicz Conference Room, C1 Building, UPC Campus Nord, Barcelona
ABSTRACT
Slender and thin-walled structures are widely used in the field of engineering. However, to harness their full potential a reliable prediction of the structural behaviour is crucial. If subjected to an compressive loading, it is known that many of these structures tend to fail due to a loss of stability.
Therefore, structural analysis focuses on the estimation of so-called critical points, which determine the crossover from a stable to an unstable position on the load-displacement path. Unfortunately, stability theory often reveals a large discrepancy to experimental data. Moreover, even among actual test results a great variation of the measured critical load is found. This observation is traced back to a high sensitivity of thin-walled structures to geometrical imperfections.
In this presentation we discuss an approach to quantify the influence of geometrical imperfections on the stability behaviour of the structure. Therefore, the initial geometry of the FEM model is perturbed using random field theory. Different realizations of the random field are computed during a Monte Carlo Simulation and a full statistical description of the critical load is retrieved.
SPEAKER CV
Manuel Meßmer is a Master student (Computational Mechanics) at the Technical University in Munich (TUM). Since October 2019, he is preparing his Master thesis (Uncertainty Quantification in Structural Stability Analysis using Monte Carlo Method) at CIMNE under the supervision of Prof. Riccardo Rossi.
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