Force evaluation of internal cable of prestressed grids based on field monitoring and hierarchical objective model updating

Force evaluation of internal cable of prestressed grids based on field monitoring and hierarchical objective model updating
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DOI:
10.1007/s13349-023-00673-w
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发表时间:
2023-01
影响因子:
4.4
通讯作者:
Jie Xu;Longjian Xu;Qian Ma;Qinghua Han
Jie Xu;Longjian Xu;Qian Ma;Qinghua Han
中科院分区:
工程技术3区
文献类型:
--
作者:
Jie Xu;Longjian Xu;Qian Ma;Qinghua Han

文献摘要

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预应力网架结构在使用期间定期进行索力检测是保证结构安全健康的必要条件。但由于索是穿入网架的下弦筒中的,现有的索力检测方法不能用于内部布索的预应力网架结构。提出了一种利用有限元模型修正技术间接检测结构索力的方法,以结构静挠度和模态频率为特征,以索力等结构参数为修正变量。此外,提出了分层目标模型修正模式,解决了修正参数过多影响索力识别精度和效率的问题。以一个实际工程结构为例,进行了基于仿真数据的识别方法验证和基于实测数据的实际结构索力评估。研究结果表明,采用有限元模型修正技术对内部布索的预应力网架结构进行索力识别是有效的,分层目标模型修正模式可以提高索力识别的准确性和可靠性。
The regular cable force detection during the service period is necessary for ensuring the safety and health of the prestressed grid structure. However, because the cable is threaded into the bottom chord tube of the grid, the existing cable force detection method cannot be used in the prestressed grid structure with the internal cable layout. A method to indirectly detect the structural cable force using the finite element (FE) model updating technology is proposed in this study, the structural static deflection and modal frequency are taken as characteristics, and the cable force and other structural parameters are used as the updating variables. In addition, a hierarchical objective model updating pattern is proposed to solve the problem that too many updating parameters affect the cable force identification accuracy and efficiency. An actual engineering structure is adopted as a case study, including the identification method verification based on the simulation data and the actual structure cable force evaluation based on the measured data. The research results indicated that it is effective to use the FE model updating technology to detect the cable force of the prestressed grid structure with the internal cable layout, and the accuracy and reliability of cable force identification can be improved by the hierarchical objective model updating pattern.