Vibration–based structural damage identification

Abstract

Many aerospace, civil and mechanical systems continue to be used despite ageing and the associated potential for damage accumulation. Therefore, the ability to monitor the structural health of these systems is becoming increasingly important. A wide variety of highly effective local non-destructive evaluation tools is available. However, damage identification based upon changes in vibration characteristics is one of the few methods that monitor changes in the structure on a global basis. A summary of developments in the field of global structural health monitoring that have taken place over the last thirty years is first presented. Vibration-based damage detection is a primary tool that is employed for this monitoring. Next, the process of vibrationbased damage detection will be described as a problem in statistical pattern recognition. This process is composed of three portions: (i) data acquisition and cleansing; (ii) feature selection and data compression; and (iii) statistical model development. Current research regarding feature selection and statistical model development will be emphasized with the application of this technology to a large-scale laboratory structure.

A Comparison of Some Methods for Structural Damage Detection

“…Unfortunately, these experimental techniques may be difficult, costly and unreliable, because damage location must be known in advance, or it is often necessary to expose the structural elements to the inspector and the equipment for detecting damage, with relevant accessibility problems. This is the reason for which the recent decades alternative approaches, is mainly based on the changes of the vibration characteristics or response of the structures caused by a structural damage and has received considerable attention in the literature [4][5][6][7]. For example, some authors have localized damage by comparing identified mode shapes or their second-order derivatives [8] in varying levels of damage.…”

Structural impact detection with vibro-haptic interfaces

“…In general, statistical pattern recognition is typically employed to autonomously determine the presence of structural damage by comparing a new measurement to baseline data. The statistical pattern recognition SHM paradigm is a multi-step approach consisting of the sequence of operational evaluation, data acquisition and cleansing, feature extraction, and statistical model development [1]. While this methodology has resulted in great improvements in SHM capabilities, this autonomous sensing paradigm usually take little use of human inspectors' judgment during the monitoring process.…”

“…This process is typically carried out by comparing the dynamic response of an undamaged, baseline structure to that of the current, potentially damaged structure [1,2].…”

Triple correlation for detection of damage-related nonlinearities in composite structures

“…The former includes methods based on acoustic emission [3,4], operational load monitoring [1,5] and impact detection techniques [1,[6][7][8][9][10]. The latter covers various methods based on vibration analysis [11][12][13][14] and non-destructive techniques, such X-ray [15,16], shearography [1,17], vibro-thermography [18,19], ultrasonic and acousto-ultrasonic testing [20,21], and guided ultrasonic waves [22][23][24][25][26]. Recent years have brought research interest in various damage-related nonlinear phenomena that can be observed in ultrasonic responses and vibration characteristics.…”

“…frequency response function, transfer function) can be used to detect structural damage, as reviewed in [11][12][13][14]. An excellent overview of vibration-based methods-that also cover nonlinear approaches-can be found in [41][42][43].…”