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作 者:邓茂 严波[1] 高英博 杨寒旭 吕中宾 张博 刘光辉 DENG Mao;YAN Bo;GAO Yingbo;YANG Hanxu;LÜZhongbin;ZHANG Bo;LIU Guanghui(College of Aerospace Engineering,Chongqing University,Chongqing 400044,P.R.China;Henan Electric Power Research Institute,Zhengzhou 450052,P.R.China)
机构地区:[1]重庆大学航空航天学院,重庆400044 [2]河南省电力公司电力科学研究院,郑州450052
出 处:《应用数学和力学》2024年第7期850-863,共14页Applied Mathematics and Mechanics
基 金:国家电网公司总部科技项目(5500-202324543A-3-2-ZN)。
摘 要:针对受静载作用的输电杆塔大型复杂结构,提出了一种基于子结构模型降阶和数据驱动的损伤回归识别方法.根据杆塔框架结构特征及其在自重和覆冰静载作用下的变形特征划分子结构,确定结构可能出现的损伤状态,定义损伤指标.采用子结构模型降阶方法对含损伤结构的有限元模型进行降阶,形成降阶模型库.进一步,根据杆塔受载特征确定标定载荷,根据变形及破坏模式设计应变传感器布置方案,采用有限元方法计算降阶模型库中所有模型在标定载荷作用下的变形,构建数据集.以传感器测点的应变数据作为输入,损伤指标作为输出,利用BP神经网络算法建立损伤回归识别模型,实现杆塔损伤位置识别和损伤指标预测,为杆塔结构健康状态实时监测技术开发奠定了基础.A damage regression identification method for large and complex transmission tower structures sub-jected to static loads was proposed based on the substructure model reduction and data-driven method.Accord-ing to the structural features of the transmission tower and its deformation under self-weight and ice loading,the full finite element model for the tower was reduced by means of the sub-structure method,the possible damage modes were predicted and the damage indexes defined.The substructure modeling method was used to reduce the orders of the structure with different damage states,and the order reduction model library was es-tablished.The calibration load was determined based on the loading characteristics of the tower,and the strain sensor layout was designed according to the deformation and failure modes.The deformations of all the re-duced-order models under calibration loads were numerically simulated with the finite element method,and a dataset was then created.With the data measured by the strain sensors as input and the damage indexes as out-put,a damage regression identification model was built by the BP neural network algorithm.With the identifica-tion model,the damage locations can be recognized and the damage indexes can be quantified.This work lays a foundation for real-time health monitoring of transmission tower structures.
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