Truncation error analysis on modal flexibility-based deflections: application to mass regular and irregular structures

Abstract It is of interest in the fields of vibration-based structural identification and damage detection to analyze the truncation effects introduced on modal flexibility (MF) based deflections that are estimated using only a subset of structural modes. To address this problem, an approach for truncation error analysis on MF-based deflections of structural systems subjected to a generic load is proposed in this paper. The approach is based on the determination of the relative contribution of each mode to the deflection by means of a proposed load participation factor (LPF). This factor, as derived analytically, depends both on the applied load and on the distribution of the structural masses. The validation of the proposed approach was carried out both on numerical models of shear-type frame buildings and on experimental data of a steel frame structure tested under ambient vibrations (i.e. the benchmark study sponsored by the IASC-ASCE Task Group on SHM). In both cases, results show that the LPF factors can give an a priori indication of the truncation effects expected on the MF-based deflections. The relationship between the proposed approach and the approach based on the mass participation factors, introduced by Zhang and Aktan (1998) for the case of uniform load (UL) deflections, is discussed since the two approaches are equal only if a special load, which is a mass proportional load (MPL), is considered. Thus, the application of this MPL load for mass irregular structures is also investigated. Numerical analyses performed both on a shear-type frame building and on a simply-supported beam, showed that for the great majority of the analyzed configurations, the truncation errors on the MF-based deflections due to the MPL are lower compared to those related to the UL.

[1]  A. K. Pandey,et al.  Experimental verification of flexibility difference method for locating damage in structures , 1995 .

[2]  Abdollah Bagheri,et al.  Damage prognosis by means of modal residual force and static deflections obtained by modal flexibility based on the diagonalization method , 2013 .

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

[4]  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 .

[5]  Mustafa Gul,et al.  Damage assessment using flexibility and flexibility-based curvature for structural health monitoring , 2008 .

[6]  Pelayo Fernández,et al.  Scaling Factor Estimation Using an Optimized Mass Change Strategy, Part 1: Theory , 2007 .

[7]  Gregory W. Reich,et al.  Structural system identification: from reality to models , 2003 .

[8]  Rune Brincker,et al.  Mode shape sensitivity of two closely spaced eigenvalues , 2015 .

[9]  Shirley J. Dyke,et al.  Experimental Phase II of the Structural Health Monitoring Benchmark Problem , 2003 .

[10]  Jun Zhao,et al.  Sensitivity Study for Vibrational Parameters Used in Damage Detection , 1999 .

[11]  Ahmet E. Aktan,et al.  Localized identification of constructed facilities , 1991 .

[12]  L. Peterson,et al.  Estimation of reciprocal residual flexibility from experimental modal data , 1996 .

[13]  Charles R. Farrar,et al.  Damage identification and health monitoring of structural and mechanical systems from changes in their vibration characteristics: A literature review , 1996 .

[14]  Ki-Young Koo,et al.  Damage detection of shear buildings using deflections obtained by modal flexibility , 2010 .

[15]  James L. Beck,et al.  Bayesian Analysis of the Phase II IASC–ASCE Structural Health Monitoring Experimental Benchmark Data , 2004 .

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

[17]  A. K. Pandey,et al.  Damage Detection in Structures Using Changes in Flexibility , 1994 .

[18]  D. Bernal Load Vectors for Damage Localization , 2002 .

[19]  Charles R. Farrar,et al.  Structural Health Monitoring: A Machine Learning Perspective , 2012 .

[20]  Pizhong Qiao,et al.  Vibration-based Damage Identification Methods: A Review and Comparative Study , 2011 .

[21]  Elizabeth K. Ervin,et al.  Comparison of Damage Diagnosis Algorithms on a Spatial Frame Using Vibration Data , 2015 .

[22]  Carlos E. Ventura,et al.  Introduction to Operational Modal Analysis: Brincker/Introduction to Operational Modal Analysis , 2015 .

[23]  Chi-Chang Lin,et al.  A story damage index of seismically-excited buildings based on modal frequency and mode shape , 2007 .

[24]  Q. W. Yang,et al.  Damage identification by the eigenparameter decomposition of structural flexibility change , 2009 .

[25]  Alex Berman,et al.  Theory of Incomplete Models of Dynamic Structures , 1971 .

[26]  Rune Brincker,et al.  Modal scaling in operational modal analysis using a finite element model , 2013 .

[27]  Billie F. Spencer,et al.  Damage detection in ambient vibration using proportional flexibility matrix with incomplete measured DOFs , 2007 .

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

[29]  Chung Bang Yun,et al.  Damage detection in beam-like structures using deflections obtained by modal flexibility matrices , 2008 .

[30]  Richard W. Longman,et al.  Extracting Physical Parameters of Mechanical Models From Identified State-Space Representations , 2002 .

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

[32]  Ahmet E. Aktan,et al.  Application of Modal Flexibility and Its Derivatives in Structural Identification , 1998 .

[33]  A. Emin Aktan,et al.  Use of Modal Flexibility for Damage Detection and Condition Assessment: Case Studies and Demonstrations on Large Structures , 2006 .

[34]  David J. Ewins,et al.  Modal Testing: Theory, Practice, And Application , 2000 .