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A Bottom-Up Approach to FE Model Updating of Industrial Structures

机译:工业结构的Fe模型更新的自下而上的方法

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The main aim of FE model updating is to iteratively correct the inaccurate parameters in a structural model so that the agreement between numerical predictions and modal test results is improved. Modeling the boundary conditions and contact interfaces between the different components is a challenge that needs to be taken into account in regards to the computational cost of the model for the iterative stage of the study. For instance, an extremely detailed model is of no use if each iteration takes hours to solve. A bottom-up approach can be followed to generate a highly accurate FE model by gradually increasing the complexity of the studied structure. This requires of a careful test planning phase to acquire experimental data from the structure in different boundary conditions and assembly stages. An overhead crane runway beam FE model is updated in this study case. Three FE models of increasing complexity in their boundary conditions and contact interfaces are optimized and updated with their three corresponding modal experimental datasets. This bottom-up approach allows dividing a complex problem in smaller phases, which results in a smaller number of design variables present on each model updating cycle. This is essential for the successful application of optimization algorithms with a limited computational power. In a qualitative sense, it allows the analyst to have a deeper understanding of the model from its conception and to have a solid grasp of the different what if scenarios.
机译:FE模型更新的主要目的是迭代纠正结构模型中的不准确参数,以便改善数值预测和模态测试结果之间的协议。建模不同组件之间的边界条件和联系接口是在研究该研究的迭代阶段的模型计算成本方面需要考虑的挑战。例如,如果每个迭代需要数小时才能解决,则非常详细的模型是不使用的。可以遵循自下而上的方法来通过逐渐增加所研究结构的复杂性来产生高精度的FE模型。这要求仔细的测试规划阶段从不同边界条件和装配阶段的结构获取实验数据。在本研究案例中更新了架空起重机跑道梁FE模型。在其边界条件和接触接口中提高复杂性的三种FE模型进行了优化和更新了三个相应的模态实验数据集。这种自下而上的方法允许在较小的阶段中除以复杂的问题,这导致每个模型更新周期存在的较少数量的设计变量。这对于成功应用具有有限的计算能力的优化算法至关重要。在一个定性的意义上,它允许分析师从其概念中更深入地了解模型,并且如果如果场景为不同的掌握。

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