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基于ARX系统辨识模型的钢绞线张拉力识别*

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钱骥,李长春,罗映相,张俊波.基于ARX系统辨识模型的钢绞线张拉力识别*[J].,2019,38(6):986-992
基于ARX系统辨识模型的钢绞线张拉力识别*
Identification of steel strands tension stress based on ARX system identification model
投稿时间：2019-02-26修订日期：2019-10-25
中文摘要:
钢绞线是预应力结构和大跨索承体系桥梁的核心受力构件,其实际保有应力值将决定结构的承载能力和耐久性。以钢绞线超声导波传播过程为独立系统,外在激励和数据采集为系统的输入和输出,通过ARX系统辨识方法分析钢绞线张拉力引起的系统模型参数变化,并以模型参数为特征向量,构建张拉力识别指标。实验结果表明该识别指标具有良好的单调线性变化规律,确定系数达到0.964；传感器布置在钢绞线端面和侧面具有相似的规律性,相对而言,端面布置传感器识别指标的敏感性和线性规律更好；重复加、卸载过程,识别指标线性拟合斜率比较稳定,受钢绞线应力加载路径影响较小。
英文摘要:
Steel strands are the most crucial component in pre-stressed structures and long-span bridges, and its retained stress is the determinant of structure’s carrying capacity and durability. The propagation of ultrasonic guide wave is taken as an independent system in steel strands, meanwhile, the extrinsic motivation and data acquisition are taken as the input and output of the system. Then parameters of system model are analyzed by ARX system identification methods which are relevant to strands tension force, and the identification index is proposed which are based on the eigenvector of model parameter. The experimental results illustrate that the identification index possess a favorable monotone linear regularity and the determination coefficient come up to 0.964; sensors arranged at the end face and side face of the strands have similar feature, and the sensibility and regularity embody better in end face sensor correspondingly; The linear fitting slope of identification index is stability in reloading process and influenced by loading paths diminutively.
DOI：10.11684/j.issn.1000-310X.2019.06.011
中文关键词:钢绞线超声导波系统辨识ARX模型张拉力识别指标
英文关键词:steel strandsultrasonic guide wavesystem identification methodARX modeltension identification index
基金项目:国家自然科学(51478347)；山区桥梁结构与材料教育部工程研究中心(QLGCZX-JJ2017-3)；重庆市教委科学技术研究项目（KJ1600531）
作者单位E-mail
钱骥重庆交通大学 土木工程学院jiqian228@126.com
李长春重庆交通大学 土木工程学院892792312@qq.com
罗映相重庆交通大学 土木工程学院2205380843@qq.com
张俊波重庆交通大学 土木工程学院2205380843@qq.com
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