The need for multi-sensor data fusion in structural health monitoring of composite aircraft structures

AAR Broer, R Benedictus, D Zarouchas - Aerospace, 2022 - mdpi.com
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 …

[HTML][HTML] Intelligent health indicator construction for prognostics of composite structures utilizing a semi-supervised deep neural network and SHM data

M Moradi, A Broer, J Chiachío, R Benedictus… - … Applications of Artificial …, 2023 - Elsevier
A health indicator (HI) is a valuable index demonstrating the health level of an engineering
system or structure, which is a direct intermediate connection between raw signals collected …

A novel strain-based health indicator for the remaining useful life estimation of degrading composite structures

G Galanopoulos, N Eleftheroglou, D Milanoski… - Composite …, 2023 - Elsevier
We present a generic methodology for developing a Health Indicator out of strain-based
Structural Health Monitoring data suitable for implementation in prognostic tasks. For this …

Multi-level damage diagnosis on stiffened composite panels based on a damage-uninformative digital twin

D Milanoski, G Galanopoulos… - Structural Health …, 2023 - journals.sagepub.com
In this study, a multi-level Structural Health Monitoring methodology for stiffened composite
panels is introduced. A digital twin (DT), that is, a three-dimensional finite element (FE) …

[HTML][HTML] Particle filter-based damage prognosis using online feature fusion and selection

T Li, J Chen, S Yuan, F Cadini, C Sbarufatti - Mechanical Systems and …, 2023 - Elsevier
Damage prognosis generally resorts to damage quantification functions and evolution
models to quantify the current damage state and to predict the future states and the …

Fatigue driven delamination in composite structures: Definition and assessment of a novel fracture mechanics based computational tool

A Russo, A Riccio, C Palumbo, A Sellitto - International Journal of Fatigue, 2023 - Elsevier
The development of numerical methodologies to investigate material damages is a crucial
aspect of aerospace components design. The advent of composite materials has made this …

[HTML][HTML] Axial compressive performances of stiffened composite panels: Experimental and numerical study

Y Feng, W Wang, S Lu, S Liu, B Ma - Alexandria Engineering Journal, 2023 - Elsevier
Axial compressive performances of stiffened composite panel were studied in this
manuscript. In experimental study, buckling phenomenon of three specimens appear at …

[HTML][HTML] Vibration-based prediction of residual fatigue life for composite laminates through frequency measurements

Z Liang, KR Ramakrishnan, NG Ching-Tai, Z Zhang… - Composite …, 2024 - Elsevier
Fiber reinforced polymer (FRP) structures may experience cumulative fatigue damage
during their service life which can lead to structural failure. This paper focuses on predicting …

[HTML][HTML] A novel machine learning model to design historical-independent health indicators for composite structures

M Moradi, FC Gul, D Zarouchas - Composites Part B: Engineering, 2024 - Elsevier
Developing comprehensive health indicators (HIs) for composite structures encompassing
various damage types is challenging due to the stochastic nature of damage accumulation …

Particle filter-based fatigue damage prognosis using prognostic-aided model updating

T Li - Mechanical Systems and Signal Processing, 2024 - Elsevier
Fatigue damage prognosis studies typically involve updating a degradation model based on
the collected measurements. The updated model can accurately depict the past degradation …