Damage identification in plates using vibratory power estimated from measured accelerations

Abstract Vibratory power is defined as the rate of energy transmitted through a cross section of unit width in a vibrating structure. It is known that the vibratory power is a function of the source and travel path. Therefore the spatial distribution of the vibratory power may contain information on the state of a structure. Vibratory power can be estimated experimentally by measuring accelerations. By combining numerical predictions with experimental measurements the location and severity of damage can be identified. This method has been successfully applied to prismatic beam problems. In the present work, the idea is extended to identifying damage in thin plate problems. To identify damage in thin plates by the proposed vibratory power method, the two-dimensional damage index and damage index ratio are newly introduced. The plate is assumed to be of uniform thickness and damaged in the form of a crack simulated as a straight cut of finite length. The vibratory power of the plate is estimated from frequency response functions to random excitations. First, the proposed method is applied numerically and then verified experimentally. Both numerical and experimental results show the present method can identify not only the location of damage but also its direction. The location and direction can be identified by investigating the damage index, the damage index ratio, and local principal axes of the index peak in the vicinity of the damage. The spatial distribution of the damage index, newly introduced in beam problems, can be considered as a scalar field in plate problems. In the neighborhood of the damage, the damage index has the shape of a semi-ellipsoid or a semi-ovoid, and it is found that the major principal axis corresponds to the direction of the crack. It enables us to identify the damage direction correctly without ambiguity.

[1]  Nirmal Kumar Mandal,et al.  Experimental investigation of vibration power flow in thin technical orthotropic plates by the method of vibration intensity , 2005 .

[2]  Nirmal Kumar Mandal,et al.  Experimental studies of quasi-longitudinal waves power flow in corrugated plates , 2006 .

[3]  Z. C. He,et al.  Crack detection of arch dam using statistical neural network based on the reductions of natural frequencies , 2007 .

[4]  G. Pavić,et al.  Measurement of structure borne wave intensity, Part I: Formulation of the methods , 1976 .

[5]  Siak Piang Lim,et al.  Structural intensity in plates with multiple discrete and distributed spring–dashpot systems , 2004 .

[6]  Christian Cremona,et al.  Assessment of vibration-based damage identification techniques , 2006 .

[7]  Antonino Morassi,et al.  IDENTIFICATION OF A CRACK IN A ROD BASED ON CHANGES IN A PAIR OF NATURAL FREQUENCIES , 2001 .

[8]  Siak Piang Lim,et al.  Diversion of energy flow near crack tips of a vibrating plate using the structural intensity technique , 2006 .

[9]  D. U. Noiseux,et al.  Measurement of Power Flow in Uniform Beams and Plates , 1970 .

[10]  Marek Krawczuk,et al.  Longitudinal wave propagation. Part II—Analysis of crack influence , 2006 .

[11]  Guido De Roeck,et al.  The Local Flexibility method for Vibration-based damage localization and quantification , 2008 .

[12]  Hyun Gwon Kil,et al.  Damage detection in beams using vibratory power estimated from the measured accelerations , 2011 .

[13]  W. H. Zhang,et al.  VIBRATIONAL POWER FLOW ANALYSIS OF DAMAGED BEAM STRUCTURES , 2001 .

[14]  Nicholas Haritos,et al.  Structural damage identification in plates using spectral strain energy analysis , 2007 .

[15]  J. Linjama,et al.  Estimation of bending wave intensity in beams using the frequency response technique , 1992 .

[16]  H. Abdul Razak,et al.  Determination of damage location in RC beams using mode shape derivatives , 2006 .

[17]  Waion Wong,et al.  Modal power flow analysis of a damaged plate , 2009 .

[18]  Usik Lee,et al.  A structural damage identification method for plate structures , 2002 .

[19]  O. S. Salawu Detection of structural damage through changes in frequency: a review , 1997 .

[20]  Hyung-Jo Jung,et al.  Damage-induced deflection approach for damage localization and quantification of shear buildings: validation on a full-scale shear building , 2012 .

[21]  Guirong Yan,et al.  Damage localization in ambient vibration by constructing proportional flexibility matrix , 2003 .

[22]  J. W. Verheij,et al.  Cross spectral density methods for measuring structure borne power flow on beams and pipes , 1980 .

[23]  Hoon Sohn,et al.  A review of structural health monitoring literature 1996-2001 , 2002 .

[24]  Stephen A. Hambric,et al.  Simulating and Measuring Structural Intensity Fields in Plates Induced by Spatially and Temporally Random Excitation , 2005 .

[25]  A. Emin Aktan,et al.  CONDITION AND DAMAGE ASSESSMENT: ISSUES AND SOME PROMISING INDICES , 2002 .

[26]  T. Y. Li,et al.  Vibrational power flow characteristics of circular plate structures with peripheral surface crack , 2004 .

[27]  Yuan-Di Zhao,et al.  Structural power flow analysis of Timoshenko beam with an open crack , 2006 .

[28]  T. Y. Li,et al.  Vibrational power flow analysis of thin cylindrical shell with a circumferential surface crack , 2007 .

[29]  N. T. Khiem,et al.  Multi-crack detection for beam by the natural frequencies , 2004 .

[30]  G. Pavić,et al.  A finite element method for computation of structural intensity by the normal mode approach , 1993 .

[31]  Edward Sazonov,et al.  Optimal spatial sampling interval for damage detection by curvature or strain energy mode shapes , 2005 .