Population-Based Structural Health Monitoring

Gardner, Paul A.; Bull, Larry; Gosliga, Julian; Dervilis, Nikolaos; Cross, Elizabeth; Papatheou, Evangelos; Worden, Keith

doi:10.1007/978-3-030-81716-9_20

Cited by 6 publications

(2 citation statements)

References 19 publications

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“…2.2.1 Model-based SHM. Model-based SHM consists of constructing a finite element model, which is later used to identify and localise damage in either mass or stiffness (Avendaño-Valencia and Fassois, 2017;Gardner, 2018;Lee and Cho, 2016;Moore et al, 2012;Park and Reich, 1999). However, the accuracy provided by the finite element model depends on the level of correlation with the real structure.…”

Section: Dynamic Shm Methodsmentioning

confidence: 99%

A review on fatigue monitoring of structures

García-Fernández

Aenlle

Álvarez-Vázquez

et al. 2023

IJSI

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PurposeThe purpose of this study is to review the existing fatigue and vibration-based structural health monitoring techniques and highlight the advantages of combining both approaches.Design/methodology/approachFatigue monitoring requires a fatigue model of the material, the stresses at specific points of the structure, a cycle counting technique and a fatigue damage criterion. Firstly, this paper reviews existing structural health monitoring (SHM) techniques, addresses their principal classifications and presents the main characteristics of each technique, with a particular emphasis on modal-based methodologies. Automated modal analysis, damage detection and localisation techniques are also reviewed. Fatigue monitoring is an SHM technique which evaluate the structural fatigue damage in real time. Stress estimation techniques and damage accumulation models based on the S-N field and the Miner rule are also reviewed in this paper.FindingsA vast amount of research has been carried out in the field of SHM. The literature about fatigue calculation, fatigue testing, fatigue modelling and remaining fatigue life is also extensive. However, the number of publications related to monitor the fatigue process is scarce. A methodology to perform real-time structural fatigue monitoring, in both time and frequency domains, is presented.Originality/valueFatigue monitoring can be combined (applied simultaneously) with other vibration-based SHM techniques, which might significantly increase the reliability of the monitoring techniques.

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Section: Dynamic Shm Methodsmentioning

confidence: 99%

A review on fatigue monitoring of structures

García-Fernández

Aenlle

Álvarez-Vázquez

et al. 2023

IJSI

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“…As such, it involves the development and training of diagnostic and prognostic methodologies on subsets of the population and their subsequent application on similar structures in the same domain [18][19][20]. For heterogeneous populations consisting of multiple structural types and levels, artificial intelligence techniques such as transfer learning can be of aid, allowing the knowledge gathered in a source domain to be utilized in new and different target domains, in this case, knowledge gathered on the lower-level structures and applied to higher-level structures [21][22][23]. As only a small amount of research has been performed into the application and development of SHM techniques to structural aircraft components of the higher levels, we must point out several considerations that must be made before such a building-block approach for SHM for upscaling aircraft structures can be implemented.…”

Section: Upscalingmentioning

confidence: 99%

The Need for Multi-Sensor Data Fusion in Structural Health Monitoring of Composite Aircraft Structures

2022

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With the increased use of composites in aircraft, many new successful contributions to the advancement of the structural health monitoring (SHM) field for composite aerospace structures have been achieved. Yet its application is still not often seen in operational conditions in the aircraft industry, mostly due to a gap between research focus and application, which constraints the shift towards improved aircraft maintenance strategies such as condition-based maintenance (CBM). In this work, we identify and highlight two key facets involved in the maturing of the SHM field for composite aircraft structures: (1) the aircraft maintenance engineer who requires a holistic damage assessment for the aircraft’s structural health management, and (2) the upscaling of the SHM application to realistic composite aircraft structures under in-service conditions. Multi-sensor data fusion concepts can aid in addressing these aspects and we formulate its benefits, opportunities, and challenges. Additionally, for demonstration purposes, we show a conceptual design study for a fusion-based SHM system for multi-level damage monitoring of a representative composite aircraft wing structure. In this manner, we present how multi-sensor data fusion concepts can be of benefit to the community in advancing the field of SHM for composite aircraft structures towards an operational CBM application in the aircraft industry.

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