框架结构有限元模型修正与损伤识别
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谢敬航(1993—),男,助教,从事结构健康监测、损伤识别及工程施工数值模拟方面的研究。

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TU317;TU391

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Finite element model correction and damage identification of frame structures
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    摘要:

    框架结构因造价经济、施工便捷被广泛应用于建筑工程,但在长期服役及偶然荷载作用下易产生损伤,且早期损伤难以察觉,易引发结构安全隐患。为实现框架结构损伤的精准识别,本文以钢框架结构为研究对象,采用ANSYS5.0 平台建立有限元模型并开展模态分析,结合B&K (Brüel & Kj?r)脉冲激励系统进行现场模态测试,并利用试验动力响应数据完成有限元模型修正。在此基础上,通过附加质量模拟框架主要部位损伤,选取结构前四阶固有频率为优化变量,基于损伤状态下的前四阶固有频率对修正后的模型进行二次优化,以设计变量的变化率作为损伤识别依据。研究结果表明:ANSYS平台简化有限元模块适用于框架结构的模型识别,修正后的有限元模型的模态参数与实体结构动力响应误差小于1%,本文研究成果可为同类框架结构的损伤监测与识别提供理论依据与技术参考

    Abstract:

    Frame structures are widely used in construction projects due to their cost-effectiveness and ease of construction, but they are prone to damage during long-term service and occasional loads, with early damage that is difficult to detect and can easily lead to structural safety hazards. To achieve precise identification of frame structure damage, steel frame structures are taken as the research object, the ANSYS5.0 platform is used to establish finite element models and conduct modal analysis, the B&K (Brüel & Kj?r) pulse excitation system for modal testing is combined, and the test dynamic response results are used to complete finite element model correction. On this basis, mass-dominated damage is simulated by adding additional mass blocks. The structural density is selected as the design variable. Based on the first four natural frequencies under damage conditions, the corrected model is further optimized using the rate of change of design variables as the basis for damage identification. Research results show that the ANSYS platform's inherent optimization module is suitable for frame structure damage identification, and the modal parameters of the corrected finite element model have a dynamic responsive error of less than 1% with the solid structure. The research results can provide theoretical basis and technical reference for damage monitoring and identification of similar frame structures.

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谢敬航,刘 备,李 晗.框架结构有限元模型修正与损伤识别[J].工程建设,2026,58(6):36-41

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  • 在线发布日期: 2026-07-27
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