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Finite element model updating on small-scale bridge model using the hybrid genetic algorithm

机译:基于混合遗传算法的小桥梁模型有限元模型更新

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摘要

Finite element (FE) model-based dynamic analysis has been widely used to predict the dynamic characteristics of civil structures. FE model updating method based on the hybrid genetic algorithm, by combining genetic algorithm and the modified Nelder-Mead's simplex method, is presented to improve bridge structures' FE model. An objective function is formulated as a linear combination of fitness functions on natural frequencies, mode shapes and static deflections using measurements and analytical results to update both stiffness and mass simultaneously. A commercial FE analysis tool, which can utilise previously developed element library and solution algorithms, is adopted for applications on diversified and complex structures. The validity of the proposed method is verified by using a simply supported bridge model with three I-shaped girders. FE models such as grid, beam-shell and shell model are considered to modify initial FE models on the experimental structure. Experimental results suggest that the proposed method can be applied efficiently to various FE models and is feasible and effective when this method is applied to identify FE modelling errors.
机译:基于有限元(FE)模型的动力分析已广泛用于预测土木结构的动力特性。提出了一种基于混合遗传算法的有限元模型更新方法,结合遗传算法和改进的Nelder-Mead单纯形法,改进了桥梁结构的有限元模型。使用测量和分析结果来同时更新刚度和质量,将目标函数表述为对自然频率,振型和静态挠度的适应度函数的线性组合。商业化的有限元分析工具可以利用以前开发的元素库和解决方案算法,用于各种复杂结构的应用。通过使用具有三个I形梁的简单支撑桥梁模型,验证了所提方法的有效性。考虑使用诸如网格,梁壳和壳模型之类的有限元模型来修改实验结构上的初始有限元模型。实验结果表明,该方法可以有效地应用于各种有限元模型,当该方法用于识别有限元建模误差时是可行和有效的。

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