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Effects of finite element grid density on model correlation and damage detection of a bridge

机译:有限元网格密度对桥梁模型相关和损伤识别的影响

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Variation of model size as determined by grid density is studied for both model refinement and damage detection. In model refinement 3 it is found that a large model with a fine grid is preferable in order to achieve a reasonable correlation between the experimental response and the finite element model. A smaller model falls victim to the inaccuracies of the finite element method. As the grid become increasing finer, the FE method approaches an accurate representation. In damage detection the FE method is only a starting point. The model is refined with a matrix method which doesn't retain the FE approximation, therefore a smaller model that captures most of the dynamics of the structure can be used and is preferable.

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