Numerical and experimental flight verifications of a calibration matrix approach for load monitoring and temperature reconstruction and compensation

Colombo, Luca; Sbarufatti, Claudio; Zieliński, Wojciech; Dragan, Krzysztof; Giglio, Marco

doi:10.1016/j.ast.2021.107074

Cited by 7 publications

(1 citation statement)

References 31 publications

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“…Specifically, the real-time strain can be used to identify the mechanical-heat coupling environment in a real service environment. 35 By establishing a library of GW signals under different temperatures and loads and using the proposed adaptive compensation framework, damage identification under such unknown environments can be realized.3. The deterioration of structural rigidity and change in the bonding layer performance during service are often uncontrollable.…”

Section: Discussionmentioning

confidence: 99%

Adaptive guided wave-based damage identification under unknown load conditions

Ding

Wang

et al. 2022

Structural Health Monitoring

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Damage identification methods based on guided waves (GWs) have been widely researched in the field of aircraft structural health monitoring. Notably, the existing research has not extensively considered the realization of accurate damage localization in an unknown load environment, although this aspect is of significance to the real-time safety assessment of aircraft structures. To address this issue, we propose an adaptive damage imaging method based on GW signals for typical aircraft structures subjected to unknown workloads. First, through the GW signals and load data sampled in the working load range, a mathematical model between the characteristics of the GW signal and load is established. Second, the active GW signal is adaptively compensated by the real-time identified load through the passive strain signal during the service process of the structure. Finally, the alternating time-reversal phase synthesis (ATRPS) method is used to accurately locate the damage in the monitoring area. The feasibility, applicability, and accuracy of the proposed methodology are validated by three levels of experimental cases. All results consistently indicate that reliable damage localization can be achieved under an unknown load environment.

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Section: Discussionmentioning

confidence: 99%