Damage localisation in composite and metallic structures using a structural neural system and simulated acoustic emissions

Kirikera, Goutham R.; Shinde, Vishal; Schulz, Mark J.; Ghoshal, Anindya; Sundaresan, M.; Allemang, Randall J.

doi:10.1016/j.ymssp.2006.01.010

Cited by 60 publications

(39 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Kirikera et al (2007) proposed the use of passive structural neural system (SNS) for damage detection in such structures. It provides architecture to connect 'n' sensor nodes in series to form neurons, and the neurons in turn interact and pass signals similar to how the biological neural system functions.…”

Section: Source Localisation By Application Of Artificial Neural Networkmentioning

confidence: 99%

Structural damage localisation by acoustic emission technique: A state of the art review

Sengupta

Datta

Topdar

2015

Lat. Am. j. solids struct.

View full text Add to dashboard Cite

Structural damages are often associated with under-performance of an engineering system. Hence localisation of such damages, followed by remedial measures, is the key to ensure proper functioning of the structures during their design lives. Acoustic emission (AE) technique is one of the effective non destructive evaluation (NDE) techniques for damage localisation. The present study makes an effort to review the existing literature on this technique under a few broad categories and discuss chronological advancements in each such category. The advantages and drawbacks of each method are deliberated and further scopes of research are pointed out.

show abstract

Section: Source Localisation By Application Of Artificial Neural Networkmentioning

confidence: 99%

Structural damage localisation by acoustic emission technique: A state of the art review

Sengupta

Datta

Topdar

2015

Lat. Am. j. solids struct.

View full text Add to dashboard Cite

show abstract

“…Furthermore, the different failure mechanisms have different characteristics which can be studied utilizing the AE parametric data [6]. Using AE it is possible to discern between developing and stagnant defects, but in some cases the external loading can be not high enough to cause an acoustic wave [33]. Other advantages of techniques based on AE are fast volumetric inspection using small number of sensors and in many cases possibility to immediate indication relating to the strength or risk of damage.…”

Section: Guided Waves Propagationmentioning

confidence: 99%

“…Other advantages of techniques based on AE are fast volumetric inspection using small number of sensors and in many cases possibility to immediate indication relating to the strength or risk of damage. Reduction of the complexity of the sensor system and simplifying the data reduction and analysis can be also made using the sensor network based at structural neural system [21,33,34]. However, the AE method can only qualitatively gauge the damage level in a structure.…”

Section: Guided Waves Propagationmentioning

confidence: 99%

Structural Health Monitoring (SHM) Methods in Machine Design and Operation

Barski¹,

Kędziora²,

Muc³

et al. 2014

Archive of Mechanical Engineering

View full text Add to dashboard Cite

The present paper is devoted to the discussion and review of the non-destructive testing methods mainly based on vibration and wave propagation. In the first part, the experimental methods of actuating and analyzing the signal (vibration) are discussed.The piezoelectric elements, fiber optic sensors and Laser Scanning Doppler Vibrometer (SLDV) method are described. Effective detecting of the flaws needs very accurate theoretical models. Thus, the numerical methods, e.g. finite element, spectral element method and numerical models of the flaws in isotropic and composite materials are presented. Moreover, the detection of the damage in structures, which are subjected to cyclic or static loads, is based on the analyzing of the change in natural frequency of the whole structure, the change of internal impedance of the material and the change in guided waves propagating through the investigated structure. All these cases are characterized in detail. At the end of this paper, several applications of the structural health monitoring systems in machine design and operation are presented.

show abstract

“…CNT materials can be used to design miniature sensors that can sense the same physical parameters as larger conventional sensors, including strain, acoustic waves, and acceleration [33][34][35][36][37]. It is shown for the first time here that distributed sensors based on CNT thread are able to detect initiating damage in composite materials [38].…”

Section: Self-sensing Composite Configurationsmentioning

confidence: 99%

Delamination detection with carbon nanotube thread in self-sensing composite materials

Abot

Song

Vatsavaya

et al. 2010

Composites Science and Technology

Self Cite

144

View full text Add to dashboard Cite

Damage localisation in composite and metallic structures using a structural neural system and simulated acoustic emissions

Cited by 60 publications

References 6 publications

Structural damage localisation by acoustic emission technique: A state of the art review

Structural damage localisation by acoustic emission technique: A state of the art review

Structural Health Monitoring (SHM) Methods in Machine Design and Operation

Delamination detection with carbon nanotube thread in self-sensing composite materials

Contact Info

Product

Resources

About