当前位置: X-MOL 学术Int. J. Steel Struct. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Updating Effects on Equivalent Shear Beam Structure Models for Lower-Order Modes Based on Sensitivity-Based Methods and Artificial Neural Networks
International Journal of Steel Structures ( IF 1.5 ) Pub Date : 2023-08-18 , DOI: 10.1007/s13296-023-00774-8
Nien-Lung Lee

In this study, a building steel structure that adopted an equivalent shear beam structure model is analyzed, with the updating effects on this simplified analysis model discussed using sensitivity-based and artificial neural network (ANN) methods. Due to the limitations of the sensitivity-based structural model updating method, mean absolute relative error was used to evaluate the reasonable number of hidden layer nodes of the ANN multi-layer perceptron architecture to be applied to the updating equivalent shear beam structural model. A National Earthquake Engineering Research Center (Taipei) steel test structure was selected as the case study. The results reveal that the equivalent shear beam structural model updated modal parameter analysis of lower-order modes is more consistent with the modal test than the 3D finite element analysis. A comparison between the discrepancies between the sensitivity-based and ANN methods suggests that the latter outperforms the former, as indicated by its better performance in terms of predicting the first two modal natural frequencies. This finding demonstrates the applicability of the updated equivalent shear beam model and indicates that structural dynamic response analysis can be conducted using the updated stiffness values of each floor. Therefore, this simplified analysis model could be applied to the vibration analysis and design of multi-story structures (e.g., high-rise steel structures, scaffoldings, and vibrating shaking tables). Furthermore, these findings indicate that this simplified analysis model for multi-story structures could also be applied to the evaluation of old structures.



中文翻译:

基于灵敏度的方法和人工神经网络更新低阶模态等效剪力梁结构模型的影响

在本研究中,对采用等效剪力梁结构模型的建筑钢结构进行了分析,并使用基于灵敏度的人工神经网络(ANN)方法讨论了对该简化分析模型的更新效果。由于基于灵敏度的结构模型更新方法的局限性,采用平均绝对相对误差来评估ANN多层感知器架构的隐藏层节点的合理数量,以应用于更新等效剪力梁结构模型。选择国家地震工程研究中心(台北)钢试验结构作为案例研究。结果表明,等效剪力梁结构模型更新低阶模态参数分析比3D有限元分析更符合模态试验。基于灵敏度的方法和 ANN 方法之间的差异的比较表明,后者优于前者,正如其在预测前两个模态固有频率方面的更好性能所表明的那样。这一发现证明了更新的等效剪力梁模型的适用性,并表明可以使用每层更新的刚度值进行结构动力响应分析。因此,该简化分析模型可应用于多层结构(如高层钢结构、脚手架、振动振动台等)的振动分析和设计。此外,这些发现表明,这种多层结构的简化分析模型也可以应用于旧结构的评估。

更新日期:2023-08-21
down
wechat
bug