Damage detection in bridges using accurate modal parameters

Damage identification in civil engineering structures using the dynamic system parameters has become an important area of research. A reliable, time and cost effective method is therefore required to evaluate and localize damage using the changes in dynamic parameters between the intact and damage states. The dynamic parameters must be calculated in as accurate manner as possible. In the present work, eigenvalue analysis is carried out using Lanczos algorithm in an adaptive h-version finite element environment in order to control the discretization error for accurate evaluation of modal parameters. Standard Ahmed Shell elements have been used for the discretization of bridge deck. Changes of natural frequencies between the damaged and intact model have been observed. A better localization of damage could be done by considering curvature of the mode shapes, which shows more sensitivity than the mode shapes themselves. Numerical studies are conducted to demonstrate the necessity of adaptive eigenfrequency analysis by considering simply supported and continuous bridges containing damaged parts at different locations and their usefulness in the application for damage detection in the field.

[1]  K. M. Liew,et al.  Application of Wavelet Theory for Crack Identification in Structures , 1998 .

[2]  Nils-Erik Wiberg,et al.  An adaptive procedure for eigenvalue problems using the hierarchical finite element method , 1987 .

[3]  J. Z. Zhu,et al.  The superconvergent patch recovery and a posteriori error estimates. Part 2: Error estimates and adaptivity , 1992 .

[4]  Tshilidzi Marwala,et al.  Multiple-Criterion Method for Determining Structural Damage , 1998 .

[5]  Romualdas Bausys,et al.  Adaptive h-version eigenfrequency analysis , 1999 .

[6]  G. De Roeck,et al.  Damage detection in bridges using modal curvatures: application to a real damage scenario , 1999 .

[7]  Robert D. Adams,et al.  The location of defects in structures from measurements of natural frequencies , 1979 .

[8]  J. Z. Zhu,et al.  The superconvergent patch recovery and a posteriori error estimates. Part 1: The recovery technique , 1992 .

[9]  H. Petroski.  Simple static and dynamic models for the cracked elastic beam , 1981 .

[10]  Singiresu S Rao,et al.  Structural damage detection and identification using fuzzy logic , 2000 .

[11]  Tshilidzi Marwala,et al.  DAMAGE IDENTIFICATION USING COMMITTEE OF NEURAL NETWORKS , 2000 .

[12]  M. Yuen.  A NUMERICAL STUDY OF THE EIGENPARAMETERS OF A DAMAGED CANTILEVER , 1985 .

[13]  Nils-Erik Wiberg,et al.  Error estimation and h-adaptivity for eigenfrequency analysis of plates in bending: numerical results , 2000 .

[14]  Arun Kumar Pandey,et al.  Damage detection from changes in curvature mode shapes , 1991 .

[15]  O. C. Zienkiewicz,et al.  Analysis of thick and thin shell structures by curved finite elements , 1970 .

[16]  Robert D. Adams,et al.  A Vibration Technique for Non-Destructively Assessing the Integrity of Structures: , 1978 .

[17]  Robert Ian Mackie,et al.  Improving finite element predictions of modes of vibration , 1992 .

[18]  S. Law,et al.  Structural Damage Detection from Modal Strain Energy Change , 2000 .

[19]  Guido De Roeck,et al.  On the application of FE model updating to damaged concrete beams , 1999 .

[20]  Robert D. Cook,et al.  NEW ERROR ESTIMATION FOR C° EIGENPROBLEMS IN FINITE ELEMENT ANALYSIS , 1993 .