Structural health monitoring of complex composite structures under environmental and operational conditions
File(s)
Author(s)
de Sá Rodrigues, Francisco
Type
Thesis or dissertation
Abstract
The thesis addresses a critical aspect of aircraft safety and maintenance by proposing advanced Struc-
tural Health Monitoring (SHM) techniques and software for detecting and localizing Barely Visible
Impact Damage (BVID) in composite aircraft structures. This work contributes to enhancing the over-
all safety and reliability of aircraft by identifying potential structural issues early on and facilitating
timely maintenance and repairs. The primary methodology proposed in this research involves utilizing
ultrasonic guided waves to identify and pinpoint BVID generated by low-velocity transverse impacts,
such as those resulting from tool drops, debris, and hail during both flight and runway activities. The
SHM techniques and acquisition software developed are validated on sub-component structures that
are representative of composite fuselage panels. Aircraft components are also subjected to numerous
environmental and operational conditions which influence the propagation of guided waves and affect
the detection capabilities of BVID in the structure. These conditions have been investigated in small
scale coupons or structures. However, the higher variability and complexities associated to large and
more complex structures under real operational conditions cannot be fully verified by simply repli-
cating these conditions for simpler structures. This research focused on addressing these challenges
in structures of varying complexities by using a Bayesian framework for compensating these effects
and introduce statistical variability to enhance the accuracy of the compensation factors. Therefore,
the focus here is to develop damage detection methodologies using guided wave signals which address
challenges like the presence of environmental and operational effects such as temperature on complex
build-up structures as well as including uncertainty associated with the large scale structures. The
developed methodologies have been verified for detecting various impact scenarios and locations in
large curved subcomponent panels. Finally, the impact of including different variations of operational
effects in the damage detection threshold is quantified by computing the minimum detectable dam-
age size by the SHM network. Post impact, the presence of BVID associated with delaminations
and skin/stringer bondline debondings can compromise the structural integrity due to subsequent
static and fatigue loading, leading to increases in damage sizes which can severely impact the aircraft
section’s residual strength. The component requires adequate replacement or local repair for which
bonded patch repairs offer solutions with minimal disturbance to aerodynamic airflow and avoid stress
concentrations due to drilling of holes in composite. An embedded inkjet printed solution is devel-
oped for monitoring the repaired section’s bondline cure and provides both impact damage detection
and severity assessment in the patch area, further reducing the associated downtime and financial
implications to airline operators whilst ensuring structural integrity.
tural Health Monitoring (SHM) techniques and software for detecting and localizing Barely Visible
Impact Damage (BVID) in composite aircraft structures. This work contributes to enhancing the over-
all safety and reliability of aircraft by identifying potential structural issues early on and facilitating
timely maintenance and repairs. The primary methodology proposed in this research involves utilizing
ultrasonic guided waves to identify and pinpoint BVID generated by low-velocity transverse impacts,
such as those resulting from tool drops, debris, and hail during both flight and runway activities. The
SHM techniques and acquisition software developed are validated on sub-component structures that
are representative of composite fuselage panels. Aircraft components are also subjected to numerous
environmental and operational conditions which influence the propagation of guided waves and affect
the detection capabilities of BVID in the structure. These conditions have been investigated in small
scale coupons or structures. However, the higher variability and complexities associated to large and
more complex structures under real operational conditions cannot be fully verified by simply repli-
cating these conditions for simpler structures. This research focused on addressing these challenges
in structures of varying complexities by using a Bayesian framework for compensating these effects
and introduce statistical variability to enhance the accuracy of the compensation factors. Therefore,
the focus here is to develop damage detection methodologies using guided wave signals which address
challenges like the presence of environmental and operational effects such as temperature on complex
build-up structures as well as including uncertainty associated with the large scale structures. The
developed methodologies have been verified for detecting various impact scenarios and locations in
large curved subcomponent panels. Finally, the impact of including different variations of operational
effects in the damage detection threshold is quantified by computing the minimum detectable dam-
age size by the SHM network. Post impact, the presence of BVID associated with delaminations
and skin/stringer bondline debondings can compromise the structural integrity due to subsequent
static and fatigue loading, leading to increases in damage sizes which can severely impact the aircraft
section’s residual strength. The component requires adequate replacement or local repair for which
bonded patch repairs offer solutions with minimal disturbance to aerodynamic airflow and avoid stress
concentrations due to drilling of holes in composite. An embedded inkjet printed solution is devel-
oped for monitoring the repaired section’s bondline cure and provides both impact damage detection
and severity assessment in the patch area, further reducing the associated downtime and financial
implications to airline operators whilst ensuring structural integrity.
Version
Open Access
Date Issued
2023-08
Date Awarded
2024-02
Copyright Statement
Creative Commons Attribution NonCommercial Licence
Advisor
Sharif Khodaei, Zahra
Aliabadi, Ferri
Sponsor
European Commission
Grant Number
314768
Publisher Department
Aeronautics
Publisher Institution
Imperial College London
Qualification Level
Doctoral
Qualification Name
Doctor of Philosophy (PhD)