Abstract:The structural characteristic response information comes from the engineering field testing, are the foundation of the structural model updating. The engineering structure testing is difficulty to carry out, high cost and limited measuring information. Therefore, it is high necessary to make best use of this valuable and limited characteristic response information, and achieve a successful model updating with the least cost. In this paper, the structural model updating is treated and analyzed as solving a mathematical problem. The situations of different amount and type of characteristic response information for model updating are performed by numerical simulation based on a space truss. Based on the analysis results, some phenomenon and internal relations are found and explained. Also, an experimental space truss is designed and built to verify the reliability of the conclusion based on measured data. Some suggestions on how to make full use of the limited structural characteristic information for efficiently and reliably finite element model updating are provided.
周林仁,叶文许. 空间桁架结构特征响应信息对模型修正的影响机理分析[J]. 振动与冲击, 2023, 42(17): 1-8.
ZHOU Linren, YE Wenxu. Mechanism analysis for effects of characteristic response information of space truss structure on its model correcton. JOURNAL OF VIBRATION AND SHOCK, 2023, 42(17): 1-8.
[1] 欧进萍. 重大工程结构智能传感网络与健康监测系统的研究与应用[J]. 中国科学基金, 2005, 19(1): 8-12.
Ou Jin-Ping. Research and practice of smart sensor networks and health monitoring ststems for civil infrastructures in mainland china [J]. Bulletin of National Natural Science Foundation of China, 2005, 19(1): 8-12.
[2] 翁顺,朱宏平.基于有限元模型修正的土木结构损伤识别方法[J].工程力学,2021,38(03):1-16.
Weng Shun, Zhu Hong-Ping. Damage identification of civil structures based on finite element model updating [J]. Engineering mechanics,2021,38(03):1-16.
[3] Mottershead J E, Friswell M I. Model updating in structural dynamics: a survey[J]. Journal of Sound and Vibration,1993, 167(2): 347-375.
[4] Yuan Z, Liang P, Silva T, et al. Parameter selection for model updating with global sensitivity analysis[J]. Mechanical Systems and Signal Processing, 2019, 115: 483-496.
[5] Hou J, Jankowski Ł, Ou J. A Substructure Isolation Method for Local Structural Health Monitoring[J]. Structural Control & Health Monitoring, 2011, 18(6): 601-618.
[6] 周林仁, 欧进萍,斜拉桥结构模型修正的一种子结构方法, 振动与冲击, 2014, 33(19), 55-61.
Zhou Lin-Ren, Ou Jin-Ping, A substructure method for structural model updating of long-span cable-stayed bridges. Journal of Vibration and Shock, 2014, 33(19), 55-61.
[7] 翁顺,左越,朱宏平,陈波,赵会贤,田炜,颜永逸.基于子结构的有限元模型修正方法[J]. 振动与冲击,2017,36(04):99-104+138.
Weng Shun, Zuo Yue, Zhu Hong-Ping, et al. Model updating based on a substructuring method [J]. Journal of Vibration and Shock,2017,36(04):99-104+138.
[8] Zhou L R, Yan G R, OU J P. Response Surface Method Based on Radial Basis Functions for Modeling Large-Scale Structures in Model Updating, Computer-Aided Civil and Infrastructure Engineering, 2013, 28(3), 210-226.
[9] 冷建成,田洪旭,徐爽,周国强,赵海峰.基于优化Kriging模型的平台结构动力学模型修正[J]. 振动与冲击,2019, 38(18):18-23.
Leng Jian-Cheng,Tian Hong-Xu,Xu Shuang, et al. Dynamics model updating of an offshore platform structure based on optimized Kriging model [J]. Journal of Vibration and Shock,2019, 38(18):18-23.
[10] 万华平,任伟新,黄天立.基于贝叶斯推理的随机模型修正方法[J].中国公路学报,2016,29(04):67-76+95.
Wan Hua-Ping,Ren Wei-Xin,Huang Tian-Li. Stochastic model updating approach by using bayesian inference[J]. China Journal of Highway and Transport,2016,29(04):67-76+95.
[11] Xin, Y, Hao, H, Li, J, Wang, Z C, Wan, H ., & Ren, W X (2019). Bayesian based nonlinear model updating using instantaneous characteristics of structural dynamic responses. Engineering Structures, 183, 459-474.
[12] Alkayem N F, Cao M, Zhang Y, et al. Structural damage detection using finite element model updating with evolutionary algorithms: a survey[J]. Neural Computing and Applications, 2018, 30(2): 389-411.
[13] 杜进生,张天能,周赤伟.基于二阶泰勒级数展开和风驱动优化算法的结构有限元模型修正[J].建筑结构学报,2019,40(02):206-214.
Du Jin-Sheng, Zhang Tian-Neng, Zhou Chi-Wei. Updating of finite element model of structures using second-order Taylor expansions and wind driven optimization [J]. Journal of Building Structures, 2019,40(02):206-214.
[14] Avci, O, Abdeljaber, O, Kiranyaz, S, Hussein, M, Gabbouj, M., & Inman, D J. (2021). A review of vibration-based damage detection in civil structures: From traditional methods to Machine Learning and Deep Learning applications. Mechanical systems and signal processing, 147, 107077.
[15] 张皓,李东升,李宏男.有限元模型修正研究进展:从线性到非线性[J].力学进展,2019,49(00):542-575.
Zhang Hao, Li Dong-Sheng, Li Hong-Nan. Research progress in finite element model correction: from linear to nonlinear [J]. Advances in Mechanics,2019,49(00):542-575.
[16] 任铭泽,邓忠民,国兆普.基于区间摄动的不确定非线性结构动力学模型修正方法研究[J].振动与冲击,2021,40(24): 275-281.
Ren Ming-Ze, Deng Zhong-Min,Guo Zhao-Pu. A model updating method of nonlinear structural dynamic based on interval perturbation [J]. Journal of Vibration and Shock,2021,40(24): 275-281.
[17] 王佐才,丁雅杰,戈壁,袁子青,辛宇.桥梁结构非线性模型修正研究综述[J].交通运输工程学报,2022,22(02):59-75.
Wang Zuo-Cai, Ding Ya-Jie, Ge Bi, et al. Review on nonlinear model updating for bridge structures [J]. Journal of traffic and transportation engineering,2022,22(02):59-75.
[18] harma A, Bagha A K, Shukla D K, et al. Finite element model updating of metallic and composite structures-A state of the art review[J]. AIMS Mater. Sci., 2021, 8(3): 390-415.
[19] 陈辉,张衡,李烨君,黄斌.测量模态不确定的梁式结构随机有限元模型修正[J].振动工程学报,2019,32(04):653-659.
Chen Hui, Zhang Hen, Li Ye-Jun,et al. Measurement of stochastic finite element model correction of beam structure with uncertain modality [J]. Journal of Vibration Engineering, 2019,32(04):653-659.
[20] 张建伟,温嘉琦,赵瑜,王涛,黄锦林.信息融合与响应面联合的渡槽结构模型修正[J].振动.测试与诊断,2018,38(06):1130-1137+1289.
Zhang Jian-Wei, Wen Jia-Qi, Zhao Yu, et al. Correction of aqueduct structure model based on information fusion and response surface union [J]. Journal of Vibration,Measurement & Diagnosis,2018,38(06):1130-1137+1289.
[21] Guyan R J. Reduction of stiffness and mass matrices[J]. AIAA Journal, 1965, 3(1): 380.
[22] 方有亮,娄佳琪,张颖,李宗娆,侯童非.基于模型缩聚-频响函数型模型修正的子结构损伤识别方法[J].科学技术与工程,2020,20(18):7356-7362.
Fang You-Liang, Lou Jia-Qi, Zhang Ying, et al. Substructure damage identification method based on model condensation-model updating of frequency response function [J]. Science Technology and Engineering, 2020,20(18):7356-7362.
[23] Berman A, Nagy E J. Improvement of a large analytical model using test data[J]. AIAA Journal, 1983, 21(8): 1168-1173.