Real-Time Structural Damage Monitoring by Input Error Function

A newly developed structural damage monitoring technique is presented. The study focuses on capturing the initiation of multiple damages as they occur in a structure, which is similar to the concept of the fault detection filter. Previously, it has been shown that modified interaction matrix formulation provides a series of input error functions that generate a nonzero residual signal when the system experiences erroneous inputs. Error functions for each individual structural member are developed from the analogy between actuator failure and damageinduced residual force. When each individual error function is monitored, multiple damages as they occur in a structure can be simultaneously detected and isolated. Because the technique does not require frequency-domain measurements, it is readily applicable to online monitoring systems. This real-time technique also accommodates nonlinear breathing cracks and works for any type of excitation. A numerical simulation using a spring‐mass system and truss structure successfully demonstrates the proposed method.

[1]  F. Tasker,et al.  Online structural damage detection using subspace estimation , 1999, 1999 IEEE Aerospace Conference. Proceedings (Cat. No.99TH8403).

[2]  Daniel J. Inman,et al.  TIME DOMAIN ANALYSIS FOR DAMAGE DETECTION IN SMART STRUCTURES , 1997 .

[3]  Richard W. Longman,et al.  State Estimation with ARMarkov Models , 1998 .

[4]  Neil E. Goodzeit,et al.  System Identification in the Presence of Completely Unknown Periodic Disturbances , 2000 .

[5]  E. J. Williams,et al.  STRUCTURAL DAMAGE DETECTION BY A SENSITIVITY AND STATISTICAL-BASED METHOD , 1998 .

[6]  Francois Leonard,et al.  Vibration behavior of a cracked cantilever beam , 2000 .

[7]  S. Seibold,et al.  a Time Domain Method for the Localization of Cracks in Rotors , 1996 .

[8]  Jie Chen,et al.  Robust Model-Based Fault Diagnosis for Dynamic Systems , 1998, The International Series on Asian Studies in Computer and Information Science.

[9]  Richard W. Longman,et al.  Unifying Input-Output and State-Space Perspectives of Predictive Control , 1998 .

[10]  Stephen Osder,et al.  Practical View of Redundancy Management Application and Theory , 1999 .

[11]  Michael A. Demetriou,et al.  On-line fault/damage detection schemes for mechanical and structural systems , 2003 .

[12]  A. Willsky,et al.  Analytical redundancy and the design of robust failure detection systems , 1984 .

[13]  S. Mukherjee,et al.  MODAL ANALYSIS OF A CRACKED BEAM , 1997 .

[14]  Damage Detection , 2003, Science's STKE.

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

[16]  Minh Q. Phan,et al.  Predictive Controllers for Simultaneous Tracking and Disturbance Rejection , 2004 .

[17]  T. Chondros,et al.  VIBRATION OF A BEAM WITH A BREATHING CRACK , 2001 .

[18]  Sergio H. S. Carneiro.  Model-Based Vibration Diagnostic of Cracked Beams in the Time Domain , 2000 .

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

[20]  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 .

[21]  Satish Nagarajaiah,et al.  Actuator Failure Detection Through Interaction Matrix Formulation , 2005 .

[22]  S. Cheng,et al.  VIBRATIONAL RESPONSE OF A BEAM WITH A BREATHING CRACK , 1999 .

[23]  Grant P. Steven,et al.  VIBRATION-BASED MODEL-DEPENDENT DAMAGE (DELAMINATION) IDENTIFICATION AND HEALTH MONITORING FOR COMPOSITE STRUCTURES — A REVIEW , 2000 .

[24]  V. Walton,et al.  Detecting Instrument Malfunctions in Control Systems , 1975, IEEE Transactions on Aerospace and Electronic Systems.

[25]  Paul M. Frank,et al.  Fault diagnosis in dynamic systems using analytical and knowledge-based redundancy: A survey and some new results , 1990, Autom..

[26]  Daniel J. Inman,et al.  An experimentally validated damage detection theory in smart structures , 1996 .