Abstract

During the last two decades structural damage identification using dynamic parameters of the structure has become an important research area for civil, mechanical, and aerospace engineering communities. The basic idea of the vibration‐based damage detection methods is that a damage as a combination of different failure modes in the form of loss of local stiffness in the structure alters its dynamic characteristics, i.e., the modal frequencies, mode shapes, and modal damping values. A great variety of methods have been proposed for damage detection by using dynamic structure parameters; however, most of them require modal data of the healthy state of structure as a reference. In this paper a vibration‐based damage detection method, which uses the mode shape information determined from only the damaged state of the structure is proposed. To establish the method, two aluminium beams containing different sizes of mill‐cut damage at a single location as well as two aluminium beams containing different sizes of mill‐cut damage at multiple locations are examined. The experimental modal frequencies and the corresponding mode shapes for the first 15 flexural modes are obtained by using a scanning laser vibrometer with a PZT actuator. From the mode shapes, mode shape curvatures are obtained by using a central difference approximation. In order to exclude the influence of measurement noise on the modal data and misleading damage indices, it is proposed to use the sum of mode shape curvature squares for each mode. With the example of the beams with free‐free and clamped boundary conditions, it is shown that the mode shape curvature squares can be used to detect damage in the structures. The extent of mill‐cut damage is identified via the modal frequencies by using mixed numerical‐experimental technique. The method is based on the minimization of the discrepancy between the numerically calculated and the experimentally measured frequencies. The numerical frequencies are calculated by employing a finite‐element model for beam with introduced damage. Further, by using the response surface approach, a relationship (second‐order polynomial function) between the modal frequencies and the damage extent is constructed. The damage extent is obtained by solving the minimization problem. Santrauka Tyrimo metu buvo ieškomos sijines konstrukcijos pažeidimo frezuojant vietos, apimtis ir pažeidimo dydis pagal atlikto vibraciju eksperimento dinamines charakteristikas. Pažeidimo padetis ir apimtis buvo nustatomi pagal išlinkio formos virpesiu kvadrato dydi. Pažeidimo dydis buvo nustatomas skaitiniu‐eksperimentiniu metodu, taikant modalinius dažnius. Šio metodo efektyvumas ir patikimumas parodytas tiriant dvi aliuminio sijas, kurios buvo pažeistos frezos vienoje vietoje ir kurios buvo pažeistos skirtingose vietose.

Highlights

  • Many structural applications worldwide have been in use for tens or even hundreds of years

  • For comparison purposes the damage indexes are calculated employing the mode shape information obtained via the finite element simulations

  • For comparison purposes the damage indexes were calculated employing the mode shape information obtained via the finite element simulations

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Summary

Introduction

Many structural applications worldwide have been in use for tens or even hundreds of years. The major drawback of those methods is a need for the data of the healthy structure which sometimes could be difficult to obtain or even impossible To overcome this issue Gapped Smoothing Techniques [10,11,12] were introduced which allow the damage detection in a structure without prior knowledge on the healthy state. This noise introduces local perturbations to the mode shape which can lead to peaks in the mode shape slope, curvature and curvature square profiles These peaks could be mistakenly interpreted as damage or they could mask the peaks induced by real damage in a beam and lead to false or missed detection of damage. If more than one mode is used, the index is given by

Damage detection algorithms
Geometry of the beams and numerical analysis
Case study 1 – aluminium beams with a single damage location
Experimental set-up
Identification of damage extent
Results of damage detection
Case study 2 – aluminium beams with multiple damage locations
Conclusions
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