韩东颖, 时培明. 基于频率和当量损伤系数的井架钢结构损伤识别[J]. 工程力学, 2011, 28(9): 109-114. DOI: 10.6052/j.issn.1000-4750.2010.01.0037
引用本文: 韩东颖, 时培明. 基于频率和当量损伤系数的井架钢结构损伤识别[J]. 工程力学, 2011, 28(9): 109-114. DOI: 10.6052/j.issn.1000-4750.2010.01.0037
HAN Dong-ying, SHI Pei-ming. DAMAGE IDENTIFICATION OF DERRICK STEEL STRUCTURES BASED ON FREQUENCY AND EQUIVALENT DAMAGE COEFFICIENT[J]. Engineering Mechanics, 2011, 28(9): 109-114. DOI: 10.6052/j.issn.1000-4750.2010.01.0037
Citation: HAN Dong-ying, SHI Pei-ming. DAMAGE IDENTIFICATION OF DERRICK STEEL STRUCTURES BASED ON FREQUENCY AND EQUIVALENT DAMAGE COEFFICIENT[J]. Engineering Mechanics, 2011, 28(9): 109-114. DOI: 10.6052/j.issn.1000-4750.2010.01.0037

基于频率和当量损伤系数的井架钢结构损伤识别

DAMAGE IDENTIFICATION OF DERRICK STEEL STRUCTURES BASED ON FREQUENCY AND EQUIVALENT DAMAGE COEFFICIENT

  • 摘要: 诊断井架钢结构损伤的位置和程度是保证其安全服役的关键技术。提出了仅基于测试精度高的低阶频率数据和体现综合损伤的当量损伤系数来识别井架钢结构损伤位置和程度的方法。首先应用两阶频率变化比和频率平方变化比识别损伤位置;其次,引入体现结构整体综合损伤和单元损伤的参数-当量损伤系数,推导了当量损伤系数与频率变化率之间的关系,应用优化方法识别单元当量损伤系数,从而确定损伤的程度;最后,仅利用前三阶的频率数据,对某型号井架钢结构进行了损伤位置和程度的识别。结果表明:该方法简单、易行、测试工作量小、识别效率高。该方法可用于其他大型结构的损伤诊断或健康监测。

     

    Abstract: The determination of damage location and damage degree are important for safe service of derrick steel structures. To diagnose the damage correctly, a novel identification approach for derrick steel structures is proposed based on two indices, frequency and equivalent damage coefficient. Firstly, damage location is identified through the changes in the ratio of two neighboring frequencies and the ratio of the square of two neighboring frequencies. Secondly, equivalent damage coefficient is taken as the synthetical index to identify the existence and degree of system damage or element damage, and the relation between the frequency change rate and equivalent damage coefficient is established. After that, the objective function based on frequency is constructed, and an optimization method is applied to estimate quantitatively the damage degree. Finally, damage location and degree of some type of derrick steel structures are identified using the first three frequencies. Compared with other identification methods, the proposed method is more efficient and working-saving. This method can be also used for the damage diagnosis and health monitoring for other large structures.

     

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