[1]李蕊 周丽.基于不完全测量的结构损伤识别研究[J].西安建筑科技大学学报:自然科学版,2011,43(01):25-030.[doi:DOI:10.15986/j.1006-7930.2011.01.020]
　Li Rui,Zhou Li.Structural Damage Identification Using Incomplete Measurements[J].J.Xi’an Univ. of Arch. & Tech.:Natural Science Edition,2011,43(01):25-030.[doi:DOI:10.15986/j.1006-7930.2011.01.020]
点击复制

基于不完全测量的结构损伤识别研究()
分享到：

西安建筑科技大学学报:自然科学版[ISSN:1006-7930/CN:61-1295/TU]

卷:
43
期数:
2011年01期
页码:
25-030
栏目:
出版日期:
2011-02-28

文章信息/Info

Title:
Structural Damage Identification Using Incomplete Measurements
文章编号:
１００６－７９３０（２０１１）０１－００２５－０６
作者:
李蕊 周丽
(南京航空航天大学结构与强度研究所,飞行器结构力学与控制教育部重点实验室 江苏 南京210016
Author(s):
Li Rui ;  Zhou Li
( Institute of Structures & Strength; MOE Key Lab of Structure Mechanics and Control for Aircraft; Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China)
关键词:
结构健康监测; 模型缩聚; 自适应序贯非线性最小二乘法; 系统识别; 损伤识别
Keywords:
structural health monitoring;  model reduce;  adaptive sequential nonlinear least-square estimation;  system identification;  damage detection
分类号:
V214.3
DOI:
DOI:10.15986/j.1006-7930.2011.01.020
文献标志码:
A
摘要:
适应序贯非线性最小二乘法是一种新型的损伤识别方法。为了减少结构中传感器的数量，将有限元模型缩聚理论与自适应序贯非线性最小二乘法相结合，用于结构的损伤识别——基于缩聚模型的自适应序贯非线性最小二乘法。为了验证该方法的有效性，本文对一悬臂梁结构进行了试验研究，研究中考虑了白噪声、正弦、和EL-Centro地震波三种激励下的六种工况。研究结果表明，基于缩聚模型的自适应序贯非线性最小二乘法是一种有效的结构损伤识别方法，根据该方法，只需要使用少量的传感器即可准确地识别出结构中损伤的发生时刻、损伤的程度和位置。
Abstract:
Adaptive sequential nonlinear least-square estimation approach is a new structural damage identification technique. In order to reduce the number of sensors in structure health monitoring system, a reduced-order finite-element approach along with the adaptive sequential nonlinear least-square estimation approach is proposed to identify the local damages of complex structures, refer to as the reduced-order finite-element model based adaptive sequential nonlinear least-square estimation approach. To verify the capability of the proposed approach, at first a simulation test was performed on a 3-D truss, three cases under two excitations were considered, including white noise excitation and EL-Centro earthquake excitation. Then experimental tests were performed on a scaled cantilever beam, six cases under three excitations were considered, including white noise, sinusoidal, and El-Centro excitation. Simulation and experimental tests demonstrated that, the proposed reduced-order finite-element model based sequential nonlinear least-square estimation approach is an effective structural health monitoring method, by using only a few sensors, the structural damages can be detected accurately, including the damage location and severity.

参考文献/References:

[1].Doebling S W, Farrar C R, Prime M B. A summary review of vibration-based damage identification methods [J]. Shock Vibration Digest , 1998, 30(2): 91-105.
[2].Hoshiya M, Saito E. Structural identification by extended Kalman filter [J]. ASCE J. Eng. Mech., 1984, 110(12):1757-1771.
[3].Yang, J N, Lin S, Huang H, Zhou L. An Adaptive Extended Kalman Filter for Structural Damage Identification [J]. Journal of Structural Control and Health Monitoring, 2006, 13(4): 849-867.
[4].吴新亚, 周丽. 基于有限范围自适应卡尔曼滤波的结构损伤识别方法[J]. 振动工程学报, 2007, 20(4):401-406.
[5]. Wu S Y, Zhou L. A finite-horizon adaptive Kalman filter for structural damage identification [J]. Journal of Vibration Engineering, 2007, 20(4): 401-406.
[6].周丽, 吴新亚, 尹强, 汪新明. 基于自适应卡尔曼滤波方法的结构损伤识别实验研究[J]. 振动工程学报, 2008, 21(2) : 197-202.
[7].Zhou L, Wu S Y, Yin Q, Wang S M. Experimental study of an adaptive extended Kalman filter for structural damage identification [J]. Journal of Vibration Engineering, 2008, 21(2): 197-202.
[8].Zhou L, Wu S Y, Yang J N. Experimental study of an adaptive extended Kalman filter for structural damage identification [J]. Journal of Infrastructure Systems, 2008, 14(1): 42-51.
[9].Wang D, Haldar A. Element-level system identification with unknown input [J]. Journal of Engineering Mechanics, 1994, 120(1), 159-176.
[10].Loh C H, Lin C Y, Huang C C. Time Domain Identification of Frames Under Earthquake Loadings [J]. Journal of Engineering Mechanics, 126(7), 2000, 693-703.
[11].Lin J W, Betti R, et al. On-line Identification of Nonlinear Hysteretic Structural System Using A Variable Trace Approach [J]. Earthquake Engineering and Structural Dynamics, 2001, 30, 1279-1303.
[12].Yang J N, Lin S. On-Line Identification of Nonlinear Hysteretic Structures Using An Adaptive Tracking Technique [J]. International Journal of Non-linear Mechanics, 2004, 39, pp.1481-1491.
[13].Ling X, and Haldar A. Element level system identification with unknown input with Rayleigh damping [J]. Journal of Engineering Mechanics, 2004, 130(8), 877-885.
[14].Yang J N, Huang H, Pan S. Adaptive quadratic sum-squares Error for structural damage identification [J]. ASCE Journal of Engineering Mechanics, 2009, 135(2): 67-77.
[15].Huang H, Yang J N, Zhou L. Adaptive quadratic sum-squares error with unknown inputs for damage identification of structures [J]. Control and Health Monitoring, 2010, 17(4): 404-426.
[16].Yang J N, Huang H. Sequential non-linear least-square estimation for damage identification of structures [J]. International Journal of Non-linear mechanics, 2006, 41(1):124-140.
[17].Yang J N, Huang H. Sequential non-linear least-square estimation for damage identification of structures with unknown inputs and unknown outputs [J]. International Journal of Non-linear mechanics, 2007, 42(5): 789-801.
[18].Guyan R J. Reduction of stiffness and mass matrices [J]. AIAA Journal, 1965, 3(2): 380-380
[19].张德文. 结构动力分析中的逐级近似缩聚法[J]. 固体力学学报，1994，15(4): 360-364.
[20].Zhang D W. Succession-level approximate reduction technique (SART) in structural dynamic analysis [J]. Acta mechanica solida sinica, 1994, 15(4):360-364.

备注/Memo

备注/Memo:
收稿日期：２０１０－０５－２４　　修改稿日期：２０１０－１２－２８
基金项目：国家自然科学基金资助项目（１０５７２０５８）；航空基金资助项目（２００８ＺＡ５２０１２）
作者简介：李　蕊（１９８３－），女，陕西西安人，博士生，主要从事健康检测研究．
更新日期/Last Update: 2015-11-01