A damage detection method based on strain modes for structures under ambient excitation

Abstract Vibration-based damage detection methods play a vital role in structural health monitoring, but there are many problems in the application of those traditional damage detection methods; for instance, the ability to promptly sense and accurately locate realistic damage in structures are the primary challenges confronting traditional damage detection methods. Strain modes typically have high sensitivity in structural damage detection. Thus, this paper defined a novel damage detection method based on strain modes. According to the relationship between strain and displacement, the natural excitation technique based on the strain response combined with the eigensystem realization algorithm was applied to identify the strain modal parameters of structures under ambient excitation. The detection index was also employed to localize damage. Crack and corrosion damage of beam-type structures was simulated under experimental conditions. Next, single-damage and multi-damage cases with different degrees and locations were prefabricated experimentally. The results demonstrated that all damage cases were detected in a reasonable manner, thereby demonstrating the validity of the proposed method in structural damage detection.

[1]  T. Leung,et al.  THEORETICAL AND EXPERIMENTAL STUDY OF MODAL STRAIN ANALYSIS , 1996 .

[2]  Wei Fan,et al.  Vibration-based Damage Identification Methods: A Review and Comparative Study , 2011 .

[3]  Hong Hao,et al.  Damage detection of shear connectors under moving loads with relative displacement measurements , 2015 .

[4]  Yunjie Wu,et al.  A rapid structural damage detection method using integrated ANFIS and interval modeling technique , 2014, Appl. Soft Comput..

[5]  David P. Thambiratnam,et al.  Vibration characteristics and damage detection in a suspension bridge , 2016 .

[6]  Wieslaw Ostachowicz,et al.  Damage detection and localization method based on a frequency spectrum change in a scaled tripod model with strain rosettes , 2016 .

[7]  Guido De Roeck,et al.  Reference-based combined deterministic–stochastic subspace identification for experimental and operational modal analysis , 2006 .

[8]  Nicholas A J Lieven,et al.  Frequency response function shape-based methods for structural damage localisation , 2009 .

[9]  B. F. Spencer,et al.  A Test Method for Damage Diagnosis of Suspension Bridge Suspender Cables , 2015, Comput. Aided Civ. Infrastructure Eng..

[10]  D. Bernal Flexibility-Based Damage Localization from Stochastic Realization Results , 2006 .

[11]  Jer-Nan Juang,et al.  An eigensystem realization algorithm for modal parameter identification and model reduction. [control systems design for large space structures] , 1985 .

[12]  Zhao-Dong Xu,et al.  Damage Detection for Space Truss Structures Based on Strain Mode under Ambient Excitation , 2012 .

[13]  Maria Q. Feng,et al.  Output‐only damage detection using vehicle‐induced displacement response and mode shape curvature index , 2016 .

[14]  Dirk Vandepitte,et al.  A comparative assessment of different frequency based damage detection in unidirectional composite plates using MFC sensors , 2016 .

[15]  Antonino Morassi,et al.  Damage detection and generalized Fourier coefficients , 2007 .

[16]  Lingmi Zhang,et al.  A frequency and spatial domain decomposition method for operational strain modal analysis and its application , 2016 .

[17]  Zhangting Wu,et al.  Structural identification and damage detection through long-gauge strain measurements , 2015 .

[18]  Siu-Seong Law,et al.  Covariance of dynamic strain responses for structural damage detection , 2017 .

[19]  Joseph L. Rose,et al.  Active health monitoring of an aircraft wing with embedded piezoelectric sensor/actuator network: I. Defect detection, localization and growth monitoring , 2007 .

[20]  Thomas G. Carne,et al.  The Natural Excitation Technique (NExT) for modal parameter extraction from operating wind turbines , 1993 .

[21]  P. Capoluongo,et al.  Modal analysis and damage detection by Fiber Bragg grating sensors , 2007 .

[22]  F. Shen,et al.  USING THE CROSS-CORRELATION TECHNIQUE TO EXTRACT MODAL PARAMETERS ON RESPONSE-ONLY DATA , 2003 .

[23]  Hong Hao,et al.  Damage detection in bridge structures under moving loads with phase trajectory change of multi-type vibration measurements , 2017 .

[24]  Sung-Kon Kim,et al.  Use of modal testing to identify damage on steel members , 2000 .

[25]  Zhishen Wu,et al.  Assessment of Vibration-based Damage Identification Methods Using Displacement and Distributed Strain Measurements , 2009 .

[26]  Ming Hong,et al.  Application of VPMCD method based on PLS for rolling bearing fault diagnosis , 2017 .