Review Paper: Health Monitoring of Civil Infrastructure

Increased awareness of the economic and social effects of aging, deterioration and extreme events on civil infrastructure has been accompanied by recognition of the need for advanced structural health monitoring and damage detection tools. Today, these tasks are done by visual inspection and very traditional methods such as the tap test. This labor-intensive task is done at a frequency of less than once every two years for bridges, and on an as-needed basis for other infrastructures such as buildings. Structural health monitoring techniques based on changes in dynamic characteristics have been studied for the last three decades. When the damage is substantial, these methods have some success in determining if damage has occurred. At incipient stages of damage, however, the existing methods are not as successful. A number of new research projects have been funded to improve the damage detection methods including the use of innovative signal processing, new sensors, and control theory. This survey paper highlights these new research directions.

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

[2]  Ahmet E. Aktan,et al.  The Damage Indices for the Constructed Facilities , 1995 .

[3]  J. Kim Vandiver,et al.  Detection of Structural Failure on Fixed Platforms By Measurement of Dynamic Response , 1975 .

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

[5]  F. Hemez,et al.  REVIEW AND ASSESSMENT OF MODEL UPDATING FOR NON-LINEAR, TRANSIENT DYNAMICS , 2001 .

[6]  Nicholas J. Carino,et al.  Nondestructive evaluation of civil infrastructures , 1995, Smart Structures.

[7]  J. E. Chance,et al.  A Simplified Approach to the Numerical and Experimental Modelling of the Dynamics of a Cracked Beam , 1994 .

[8]  Constantinos Soutis,et al.  Damage detection in composite materials using lamb wave methods , 2002 .

[9]  Scott W. Doebling,et al.  Damage detection and model refinement using elemental stiffness perturbations with constrained connectivity , 1996 .

[10]  Mohamed Kaouk,et al.  Structural damage assessment using a generalized minimum rank perturbation theory , 1993 .

[11]  Jeffrey E. Mast,et al.  HERMES: a high-speed radar imaging system for inspection of bridge decks , 1996, Smart Structures.

[12]  Ahmet E. Aktan,et al.  Bridge-condition assessment by modal flexibility , 1994 .

[13]  Genda Chen,et al.  Condition Assessment of Concrete Structures by Dynamic Signature Tests , 1999 .

[14]  Pei-Ling Liu,et al.  Identification and Damage Detection of Trusses Using Modal Data , 1995 .

[15]  Darryll J. Pines,et al.  Concept of dereverbation and its application to damage detection in civil structures , 2000, Smart Structures.

[16]  Li Shu,et al.  Application of Wavelet Analysis to Structural Health Monitoring , 2003 .

[17]  John E. Mottershead,et al.  Model Updating In Structural Dynamics: A Survey , 1993 .

[18]  Roy R. Craig,et al.  Application of unsymmetric block Lanczos vectors in system identification , 1991 .

[19]  François M. Hemez,et al.  AND ASSESSMENT OF MODEL UPDATING FOR NONLINEAR , TRANSIENT DYNAMICS , 1999 .

[20]  Lei Tian,et al.  DAMAGE DETECTION IN SMART STRUCTURES THROUGH SENSITIVITY ENHANCING FEEDBACK CONTROL , 1999 .

[21]  J N Kudva,et al.  Damage detection in smart structures using neural networks and finite-element analyses , 1992 .

[22]  D. C. Zimmerman,et al.  Model correlation using multiple static load and vibration tests , 1995 .

[23]  Charles R. Farrar,et al.  A summary review of vibration-based damage identification methods , 1998 .

[24]  Colin J. Dodds,et al.  Structural Integrity Monitoring Using Digital Processing Of Vibration Siqnals , 1976 .

[25]  Colin H. J. Fox,et al.  The location of defects in structures - A comparison of the use of natural frequency and mode shape data , 1992 .

[26]  Lei Tian,et al.  Damage detection in smart structures through sensitivity-enhancing feedback control , 1999, Smart Structures.

[27]  C. A. Kot,et al.  Effect of damage on the modal parameters of a cylindrical shell , 1992 .

[28]  T. T. Cao,et al.  Application of Load Dependent Ritz Vectors in Structural Damage Detection , 1997 .

[29]  Ayo O. Abatan,et al.  Transverse shear response monitoring of concrete cylinder using embedded high-sensitivity ETDR sensor , 2000, Smart Structures.

[30]  N. Huang,et al.  The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis , 1998, Proceedings of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences.

[31]  Xuemin Chen,et al.  Highway crack monitoring system , 2002, SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring.

[32]  C. R. Farrar,et al.  Lessons learned from applications of vibration-based damage identification methods to a large bridge structure , 1997 .

[33]  Hoon Sohn,et al.  A Bayesian probabilistic approach to damage detection for civil structures , 1998 .

[34]  J. Kim Vandiver,et al.  Detection of Structural Failure on Fixed Platforms By Measurement of Dynamic Response , 1977 .