Mechanics Informed Approach to Online Prognosis of Composite Airframe Element: Stiffness Monitoring with SHM Data and Data-Driven RUL Prediction

Nan Yue; Georgios Galanopoulos; Theodoros Loutas; Dimitrios Zarouchas

doi:10.1007/978-3-031-07254-3_48

Mechanics Informed Approach to Online Prognosis of Composite Airframe Element: Stiffness Monitoring with SHM Data and Data-Driven RUL Prediction

Nan Yue^*, Georgios Galanopoulos, Theodoros Loutas, Dimitrios Zarouchas

^*Corresponding author for this work

Structural Integrity & Composites

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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Abstract

During the service of composite airframes, damage initiates and accumulates due to the manufacturing imperfections, impact damage and cyclic loadings, leading to the degradation in its load-bearing capacity. The nature of the degradation process is complicated due to the multi-mode damage propagation and complexity in the structural details of airframes. In the condition-based health management of airframe structures, the degradation is expressed in the concept of remaining useful life (RUL). Online prognostic health management is an emerging field dedicated to the timely prediction of RUL using onboard sensors. This work presents a mechanics-informed approach to the prognosis of a typical airframe element, stiffened CFRP composite panel, under compression-compression fatigue. The fatigue degradation of axial stiffness is monitored by Lamb wave velocity and utilised for online RUL prediction via particle filter.

Original language	English
Title of host publication	European Workshop on Structural Health Monitoring, EWSHM 2022, Volume 1
Editors	Piervincenzo Rizzo, Alberto Milazzo
Publisher	Springer
Pages	474-484
Number of pages	11
ISBN (Print)	978-3-031-07253-6
DOIs	https://doi.org/10.1007/978-3-031-07254-3_48
Publication status	Published - 2023
Event	10th European Workshop on Structural Health Monitoring, EWSHM 2022 - Palermo, Italy Duration: 4 Jul 2022 → 7 Jul 2022

Publication series

Name	Lecture Notes in Civil Engineering
Volume	253 LNCE
ISSN (Print)	2366-2557
ISSN (Electronic)	2366-2565

Conference

Conference	10th European Workshop on Structural Health Monitoring, EWSHM 2022
Country/Territory	Italy
City	Palermo
Period	4/07/22 → 7/07/22

Bibliographical note

Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care
Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Keywords

Airframe
Composite
Lamb wave
Particle filter
PHM
RUL
SHM
Stiffness degradation

Access to Document

10.1007/978-3-031-07254-3_48

978-3-031-07254-3_48Final published version, 1.93 MB

Cite this

Yue, N., Galanopoulos, G., Loutas, T., & Zarouchas, D. (2023). Mechanics Informed Approach to Online Prognosis of Composite Airframe Element: Stiffness Monitoring with SHM Data and Data-Driven RUL Prediction. In P. Rizzo, & A. Milazzo (Eds.), European Workshop on Structural Health Monitoring, EWSHM 2022, Volume 1 (pp. 474-484). (Lecture Notes in Civil Engineering; Vol. 253 LNCE). Springer. https://doi.org/10.1007/978-3-031-07254-3_48

Yue, Nan ; Galanopoulos, Georgios ; Loutas, Theodoros et al. / Mechanics Informed Approach to Online Prognosis of Composite Airframe Element : Stiffness Monitoring with SHM Data and Data-Driven RUL Prediction. European Workshop on Structural Health Monitoring, EWSHM 2022, Volume 1. editor / Piervincenzo Rizzo ; Alberto Milazzo. Springer, 2023. pp. 474-484 (Lecture Notes in Civil Engineering).

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title = "Mechanics Informed Approach to Online Prognosis of Composite Airframe Element: Stiffness Monitoring with SHM Data and Data-Driven RUL Prediction",

abstract = "During the service of composite airframes, damage initiates and accumulates due to the manufacturing imperfections, impact damage and cyclic loadings, leading to the degradation in its load-bearing capacity. The nature of the degradation process is complicated due to the multi-mode damage propagation and complexity in the structural details of airframes. In the condition-based health management of airframe structures, the degradation is expressed in the concept of remaining useful life (RUL). Online prognostic health management is an emerging field dedicated to the timely prediction of RUL using onboard sensors. This work presents a mechanics-informed approach to the prognosis of a typical airframe element, stiffened CFRP composite panel, under compression-compression fatigue. The fatigue degradation of axial stiffness is monitored by Lamb wave velocity and utilised for online RUL prediction via particle filter.",

keywords = "Airframe, Composite, Lamb wave, Particle filter, PHM, RUL, SHM, Stiffness degradation",

author = "Nan Yue and Georgios Galanopoulos and Theodoros Loutas and Dimitrios Zarouchas",

note = "Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.; 10th European Workshop on Structural Health Monitoring, EWSHM 2022 ; Conference date: 04-07-2022 Through 07-07-2022",

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Yue, N, Galanopoulos, G, Loutas, T & Zarouchas, D 2023, Mechanics Informed Approach to Online Prognosis of Composite Airframe Element: Stiffness Monitoring with SHM Data and Data-Driven RUL Prediction. in P Rizzo & A Milazzo (eds), European Workshop on Structural Health Monitoring, EWSHM 2022, Volume 1. Lecture Notes in Civil Engineering, vol. 253 LNCE, Springer, pp. 474-484, 10th European Workshop on Structural Health Monitoring, EWSHM 2022, Palermo, Italy, 4/07/22. https://doi.org/10.1007/978-3-031-07254-3_48

Mechanics Informed Approach to Online Prognosis of Composite Airframe Element : Stiffness Monitoring with SHM Data and Data-Driven RUL Prediction. / Yue, Nan; Galanopoulos, Georgios; Loutas, Theodoros et al.

European Workshop on Structural Health Monitoring, EWSHM 2022, Volume 1. ed. / Piervincenzo Rizzo; Alberto Milazzo. Springer, 2023. p. 474-484 (Lecture Notes in Civil Engineering; Vol. 253 LNCE).

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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AU - Loutas, Theodoros

AU - Zarouchas, Dimitrios

N1 - Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

PY - 2023

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N2 - During the service of composite airframes, damage initiates and accumulates due to the manufacturing imperfections, impact damage and cyclic loadings, leading to the degradation in its load-bearing capacity. The nature of the degradation process is complicated due to the multi-mode damage propagation and complexity in the structural details of airframes. In the condition-based health management of airframe structures, the degradation is expressed in the concept of remaining useful life (RUL). Online prognostic health management is an emerging field dedicated to the timely prediction of RUL using onboard sensors. This work presents a mechanics-informed approach to the prognosis of a typical airframe element, stiffened CFRP composite panel, under compression-compression fatigue. The fatigue degradation of axial stiffness is monitored by Lamb wave velocity and utilised for online RUL prediction via particle filter.

AB - During the service of composite airframes, damage initiates and accumulates due to the manufacturing imperfections, impact damage and cyclic loadings, leading to the degradation in its load-bearing capacity. The nature of the degradation process is complicated due to the multi-mode damage propagation and complexity in the structural details of airframes. In the condition-based health management of airframe structures, the degradation is expressed in the concept of remaining useful life (RUL). Online prognostic health management is an emerging field dedicated to the timely prediction of RUL using onboard sensors. This work presents a mechanics-informed approach to the prognosis of a typical airframe element, stiffened CFRP composite panel, under compression-compression fatigue. The fatigue degradation of axial stiffness is monitored by Lamb wave velocity and utilised for online RUL prediction via particle filter.

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Yue N, Galanopoulos G, Loutas T, Zarouchas D. Mechanics Informed Approach to Online Prognosis of Composite Airframe Element: Stiffness Monitoring with SHM Data and Data-Driven RUL Prediction. In Rizzo P, Milazzo A, editors, European Workshop on Structural Health Monitoring, EWSHM 2022, Volume 1. Springer. 2023. p. 474-484. (Lecture Notes in Civil Engineering). doi: 10.1007/978-3-031-07254-3_48

Mechanics Informed Approach to Online Prognosis of Composite Airframe Element: Stiffness Monitoring with SHM Data and Data-Driven RUL Prediction

Abstract

Publication series

Conference

Bibliographical note

Keywords

Access to Document

Other files and links

ReMAP: Real-time Condition-based Maintenance for Adaptive Aircraft Maintenance Planning

Cite this

Mechanics Informed Approach to Online Prognosis of Composite Airframe Element: Stiffness Monitoring with SHM Data and Data-Driven RUL Prediction

Abstract

Publication series

Conference

Bibliographical note

Keywords

Access to Document

Other files and links

Projects

ReMAP: Real-time Condition-based Maintenance for Adaptive Aircraft Maintenance Planning

Cite this