Structural Health Monitoring Using Ultrasonic Guided-Waves and the Degree of Health Index

Cantero‐Chinchilla, Sergio; Aranguren, Gerardo; Royo, J. M.; Chiachío, Manuel; Etxaniz, Josu; Calvo-Echenique, Andrea

doi:10.3390/s21030993

Cited by 26 publications

(13 citation statements)

References 57 publications

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“…In the past 20 years, guided wave-based modalities have emerged as a viable approach to dynamical inversion-based SHM [179][180][181][182][183][184][185][186]. Common physical manifestations of guided waves include Lamb waves (propagating through thin shell and plate structures) [187], Rayleigh waves (surface waves) [188] and shear waves.…”

Section: (C) Dynamical Inverse Problems In Shmmentioning

confidence: 99%

Structural engineering from an inverse problems perspective

et al. 2022

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The field of structural engineering is vast, spanning areas from the design of new infrastructure to the assessment of existing infrastructure. From the onset, traditional entry-level university courses teach students to analyse structural responses given data including external forces, geometry, member sizes, restraint, etc.—characterizing a forward problem (structural causalities → structural response). Shortly thereafter, junior engineers are introduced to structural design where they aim to, for example, select an appropriate structural form for members based on design criteria, which is the inverse of what they previously learned. Similar inverse realizations also hold true in structural health monitoring and a number of structural engineering sub-fields (response → structural causalities). In this light, we aim to demonstrate that many structural engineering sub-fields may be fundamentally or partially viewed as inverse problems and thus benefit via the rich and established methodologies from the inverse problems community. To this end, we conclude that the future of inverse problems in structural engineering is inexorably linked to engineering education and machine learning developments.

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Section: (C) Dynamical Inverse Problems In Shmmentioning

confidence: 99%

Structural engineering from an inverse problems perspective

et al. 2022

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“…The result of the comparisons is the degree of membership (µ i ) of each CP according to Equation (1). The algorithm is detailed in [36]. Then, the Degree of Identity (DoI) of each signal ExRy (DoI x,y ) was calculated with the mean of the µ i of its CPs (see Equation ( 2)).…”

Section: Pattern-matching Processmentioning

confidence: 99%

Methodology for Detecting Progressive Damage in Structures Using Ultrasound-Guided Waves

Aranguren

Bilbao

Etxaniz

et al. 2022

Sensors

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Damage detection in structural health monitoring of metallic or composite structures depends on several factors, including the sensor technology and the type of defect that is under the spotlight. Commercial devices generally used to obtain these data neither allow for their installation on board nor permit their scalability when several structures or sensors need to be monitored. This paper introduces self-developed equipment designed to create ultrasonic guided waves and a methodology for the detection of progressive damage, such as corrosion damage in aircraft structures, i.e., algorithms for monitoring such damage. To create slowly changing conditions, aluminum- and carbon-reinforced polymer plates were placed together with seawater to speed up the corrosion process. The setup was completed by an array of 10 piezoelectric transducers driven and sensed by a structural health monitoring ultrasonic system, which generated 100 waveforms per test. The hardware was able to pre-process the raw acquisition to minimize the transmitted data. The experiment was conducted over eight weeks. Three different processing stages were followed to extract information on the degree of corrosion: hardware algorithm, pattern matching, and pattern recognition. The proposed methodology allows for the detection of trends in the progressive degradation of structures.

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“…To this point, the use of distributed dynamical data for monitoring primarily large structures and structural elements has been discussed. However, in approximately the past twenty years, guided wave based modalities have emerged as a viable approach to dynamical inversion based SHM [173,174,175,176,177,178,179,180]. Common physical manifestations of guided waves include Lamb waves (propagating through thin shell and plate structures) [181], Rayleigh waves (surface waves) [182], and shear waves.…”

Section: Dynamical Inverse Problems In Shmmentioning

confidence: 99%

Structural engineering from an inverse problems perspective

Gallet,

Rigby,

Tallman

et al. 2021

Preprint

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The field of structural engineering is vast, spanning areas from the design of new infrastructure to the assessment of existing infrastructure. From the onset, traditional entry-level university courses teach students to analyse structural response given data including external forces, geometry, member sizes, restraint, etc. -characterising a forward problem (structural causalities → structural response). Shortly thereafter, junior engineers are introduced to structural design where they aim to, for example, select an appropriate structural form for members based on design criteria, which is the inverse of what they previously learned. Similar inverse realisations also hold true in structural health monitoring and a number of structural engineering sub-fields (response → structural causalities). In this light, we aim to demonstrate that many structural engineering sub-fields may be fundamentally or partially viewed as inverse problems and thus benefit via the rich and established methodologies from the inverse problems community. To this end, we conclude that the future of inverse problems in structural engineering is inexorably linked to engineering education and machine learning developments.

show abstract

Structural Health Monitoring Using Ultrasonic Guided-Waves and the Degree of Health Index

Cited by 26 publications

References 57 publications

Structural engineering from an inverse problems perspective

Structural engineering from an inverse problems perspective

Methodology for Detecting Progressive Damage in Structures Using Ultrasound-Guided Waves

Structural engineering from an inverse problems perspective

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