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Structural Health Monitoring By Vibration Measurement with Non-contact Laser Excitation
Feblil HUDA Candidate for the degree of Doctoral
Supervisor: Prof. Itsuro Kajiwara Division of Human Mechanical System and Design
Introduction
Damage identification as a part of structural health
monitoring (SHM) plays an important role to make sure
the current condition of structures. In general, there are
two main steps of diagnostic procedure in damage
identification: the experimental measurement and the
data processing.
The diagnostic methods largely studied and applied
are those based on vibration measurements, since they
allow non-destructive evaluation on investigated
structures. The usual approach in damage detection
based on vibration measurement consists in the
determination of dynamic characteristics changes due to
the presence of the damage. The dynamic characteristics
of a structure can be assessed from the frequency
response functions (FRFs) which are obtained by
applying an excitation force to the structure and
measuring the excitation force and vibration response.
Some problems and inconvenient are found in these
methods, that usually involving part directly mounted
and contacted to the surface of tested parts for applying
excitation force, can possibly contaminate tested parts
and add safety constraints such as the need for
additional inspection, endanger measurement operators
if the measurements last on narrow operational area and
even do not give the possibility of conducting the
measurement in narrow area. These conditions make
non-contact method become important.
In order to solve the problems in vibration excitation
for damage detection, an integrated non-contact damage
detection system based on vibration is important to be
developed. The measurements must be employing of
non-contact structural excitation testing with high
reproducibility, enable to extract measurement in high
frequency and enable working in small area. Non-
contact vibration excitation is known well using laser
system which may fulfill the requirements.
Laser Excitation
In this dissertation, the vibration testing and health
monitoring system based on an impulse response
excited by laser is proposed to detect damage on
structures. This idea is built based on the applicability of
laser in giving excitation to structures and the needs to
have high reproducibility non-contact excitation system
on structure. The source of excitations is proposed in
two methods: laser ablation [1] and laser-induced
breakdown [2].
Laser ablation
The process of the laser ablation is presented in Fig. 1.
When a laser beam is irradiated on a metal surface, it
will be absorbed by the metal, and the atoms absorbing
the laser light release ions. The absorption of the energy
in the laser beam by metal will also generate high
temperature plasma, and large quantities of particles are
then released (in the form of a plume) from the metal
(Fig. 1(a)). Momentum is then generated when a mass
Δm released at a velocity v from the metal, represented
by Δmv, and this expresses the laser-induced impulse.
Fig. 1 Process of the laser ablation [1]
To generate a larger excitation force on the
structure, a water droplet is placed on the metal surface
during laser ablation as shown in Fig. 1(b). The total
resulting momentum is Δmv+ΔMV, resulting in a larger
impulse with than without the water droplet. This
impulse constitutes the excitation force on the structure.
The input characteristics different between laser
excitation and impulse hammer can be seen in Fig. 2.
Fig. 2 shows that the excitation by laser occurred in
really short time, while the excitation by impulse
hammer shows curvy excitation force. This is a fact that
ideal impulse force to metal structure could be sourced
from non-contact excitation by laser ablation.
Fig. 2 Different characteristics between laser excitation and
impulse hammer [1]
Laser-induced breakdown
The laser-induced breakdown (LIB) refers to the
formation of plasma through the cascade process caused
by electrons emitted from atoms and molecules that
have absorbed multiple photons through a multi-photon
Lo
ad
[N
]
:Laser :Impulse hammer
0.024 0.025 0.026 0.027 0.028-50
0
50
100
Time [s]
Metal
Plume(m)
Atoms etc.
Metal
Laser
v
Plume(m)
Vapor
(M)
Metal
Water
droplet Atoms etc.
Metal
Laser
v
V
(a) Laser ablation without water droplet
(b) Laser ablation with water droplet
process when a laser beam is focused in a gas. A portion
of this plasma energy is transformed to a shock wave,
which is the source of the sound generated by LIB,
which has the potency to be acoustic excitation force.
This is one of the high power laser effects.
The LIB threshold in air is I ≥ 1015 W/m
2. When the
laser's local intensity is smaller than this threshold, a
convex lens can be used for focusing the laser beam,
thereby reducing the spot radius. By passing the laser
beam through the convex lens which focuses the beam,
the local intensity of the laser beam reaches to or above
the minimum LIB threshold of 1015 W/m
2 [3-5].
The process to achieve acoustic excitation by LIB is
presented in Fig. 3. From the figure, it can be seen that
Nd: YAG pulse laser is used to produce laser beam, and
laser beam is then passed to convex lens. The LIB
occurs in the distance of focal length of the convex lens
from the convex lens position.
Fig. 3 Process to achieve acoustic excitation by LIB
Fig. 4 shows times response sound pressure
generated by LIB. The ten measured waveforms of the
sound pressure are plotted. It is shown on the figure that
the point sound source generated by LIB on that
configuration has high reproducibility and can generate
ideal impulse excitation, occurs in short time.
Fig. 4 Time responses of sound pressure generated
by LIB [2]
The laser excitation can apply an ideal impulse
excitation, making it possible to use the Fourier
transform of the output response for the evaluation of
the vibration characteristics of the system as the
frequency response function. The Fourier transforms of
time histories of an input force f(t) and output response
x(t) into the frequency domain are described by
( ) ∫ ( )
(1)
( ) ∫ ( )
(2)
The output response x(t) can be expressed by the
convolution integral with an impulse response function
h(t) of the system:
( ) ∫ ( )
( ) (3)
The Fourier transform of Eq.(3) results in
( ) ( ) ( ) (4)
where, ( ) is the frequency response function of the
system. When f(t) is an impulse force, ideally the Dirac
delta function, the Fourier transform of f(t)
becomes ( ) , and Eq.(4) is expressed by
( ) ( ) (5)
The result is that the Fourier transform of the response
x(t) becomes the frequency response function.
Non-contact laser excitation and damage identification
In damage identification using vibration approach, the
ideal excitation method is required to ensure the
accuracy, reliability and easiness of measurement. In
applying non-contact laser excitation to damage
identification, the mechanism of laser excitation needs
to be carefully considered, so that the excitation method
not only gives the easiness in measurement, but also
enhances the quality of measurement.
Non-contact laser excitation by laser ablation is a
type of excitation that is usually applied to metal
structures. Besides giving ideal impulse excitation, this
excitation method has strength point in measuring high
frequencies vibration, but laser ablation causes a small
damage on measured structure, so this excitation
method will be appropriate to be applied to metal
structures that have no problem with the effect of small
damage caused by ablation. It will be suitable to be
combined with damage identification on bolted joint
structure.
Acoustic excitation by LIB is non-contact excitation
which gives possibility to conduct measurement in
really narrow area; this kind of excitation causes no
damage. So, this kind excitation is suitable to be
combined with damage detection on extremely light and
flexible structure. Acoustic excitation by LIB will be
applied and combined with damage identification
method to detect damage in membrane structures.
Bolt Loosening Analysis and Diagnosis by Non-contact Laser Excitation Vibration Test
Detecting a loosening of bolted joints is important for
ensuring the function of structure or subsystem.
Vibration measurements approach for bolt loosening
detection usually use contact excitation or hammering
method to excite a structure to get the frequency
response, requiring trained technicians over a long
period. The reproducibility of hammering method by
technicians is low; the measurement of dynamics
characteristics requires high reproducibility. This issue
led researchers to find other excitations method with
higher degree of reproducibility. Vibration measurement
systems using laser excitation can guarantee an
extremely high degree of reproducibility of
measurement [1]. This research concerns about the use
of laser excitation for detecting the bolt loosening.
Finite element model of bolted joint
The finite element analysis software ANSYS 14.0 has
been used to model bolted joint with pretension force
and mating part contact. The model is constructed in
form of cantilever, where one of the flanges is fixed, as
shown in Fig. 5. The SOLID186 element of ANSYS is
used to construct physical model of bolted joint. The
total number of nodes and elements are 29635 and 5412
respectively. The pretension force is given by using
pretension element PRETS179.
9.8 10.0 10.1 10.29.9-600
00
600
0
1200
Time [ms]
So
un
d p
ress
ure
[P
a]
Fig. 5 Simple bolted joint model
In this model, the tightening torque will be applied
to the bolt in form of pretension force. The relationship
between tightening torque and occurred pretension is
described by
d (6)
where F, T, K, and d are pretension force, tightening
toque, torque coefficient, and nominal diameter of bolt
respectively.
The contact modeling is presented by surface-surface
contact elements, which is a pair of contact element
CONTA174 and target element TARGE170. There are
three types contact used in this model: bonded,
frictional, and no separation.
In order to determine the contact type on contact
between flanges, the region, where the stresses due to
pretension that produced clamping force are
predominant, is set to be bonded each other. That region
in normal condition looks like a conical shape and
covers a range between 25o ≤ α ≤ 33
o, suggested by
Osgood [6]. The bolt head and the nut are also assumed
to be glued to the flanges due to the clamping force.
Some pretension forces for normal and loosening
condition will be applied to the bolt to get the stress data
on contact between flanges. By applying conical shape
suggested by Osgood, the values of stress on outer
radius of conical shape from normal pretension force are
taken as the benchmark and limit for bonded area, and
the lower stress areas will be frictional and no
separation. A series of static structural analysis and
frequency response analysis by pre-stress modal
analysis are then conducted.
Verification of laser excitation vibration measurement result by finite element analisis
Vibration test by using laser excitation is conducted for
a simple model of bolted joint, and the results are then
validated by finite element analysis. The tightening
torques are given by digital torque wrench for normal
condition (24.5 Nm) and loose conditions (less than
24.5 Nm). A vibration testing arrangement using a high
power pulse laser is shown in Fig. 6.
Fig. 6 Vibration testing arrangement using the high power
pulse laser
Frequency responses with different tightening
torques got from experiments in vertical and horizontal
direction are shown in Fig. 7. The resonance peaks in
frequency responses are shifted to lower frequency and
the shifting is significant in high frequency, while in low
frequency the response seems not to change so much.
The Frequency response of simple one-bolt joint in
normal condition is presented in Fig. 8.
(a) (b)
Fig. 7 Frequency response of simple one-bolt joint by
experiment (a) in vertical (b) in horizontal
(a) (b)
Figure 8 Frequency response of simple one-bolt joint in
normal condition (a) in vertical (b) in horizontal
The frequency responses in normal condition by
simulation and experiment show a good agreement.
They are not only having the same peaks, but also
having the same tendency. This good agreement can be
seen both in vertical and horizontal directions of test.
Fig. 9 shows the frequency response of simple one-bolt
joint in vertical direction with loose conditions, and all
of simulation-experiment comparison results show the
same tendency.
Fig. 9 Frequency response of simple one-bolt joint in vertical
with loose condition and tightening torques of
(a) 20 Nm, (b) 18 Nm, (c) 15 Nm, (d) 10 Nm
Bolt loosening detection approach
The Recognition Taguchi (RT) method is a statistical
evaluation method used to detect the loose bolt in this
research. RT method is a type of MT (Mahalanobis–
Taguchi) method used in the field of quality engineering
as a pattern recognition method. In this method, data is
measured a multiple number of times under identical
conditions, and a unit space for normal condition is
defined. For unknown data (loose condition), distances
in relation to unit spaces are calculated and compared to
determine damage index (DI), which defined as
Damage Index 𝐷
�̅� (7)
Where D is the Mahalanobis distance for unknown
data, and �̅� is the covariance of the Mahalanobis
distances for normal condition. If DI > 1, the system is
under damage (in this case undergoes loosening). If DI
≤ 1, the system is normal.
In order to demonstrate loose bolt detection on
bolted joint, a six-bolt joint model is constructed;
several damages are applied to the joint by giving
different tightening torques on certain bolt position. The
list of damage cases can be seen in Table 1.
Table 1 the list of damage cases
Laser excitation vibration measurement system is
applied to six-bolt joint. The model, bolt numbering,
excitation point, and measurement points can be seen in
Fig. 10. The excitations by laser are given in a point,
and measurements of the responses are conducted in six
points which represent the measurement of response on
each bolt.
Fig. 10 The excitation and measurement points position for
bolt loosening detection
Result
The measurements were conducted first for normal
condition to get the unit space that was constructed from
ten sets of power spectrum data. The measurements for
several damage conditions were then conducted to get
the only one set power spectrum data for each case of
damage. By comparing damage data with the unit space
in the same range of interest, the damage index would
be gotten. The damage index on the bolt in every case of
damage by simulation and experiment data can be seen
in Table 2 and Table 3 respectively.
Table 2 Damage index based on simulation result
Post. Bolt
1
Bolt
2
Bolt
3
Bolt
4
Bolt
5
Bolt
6 Case Damage 1 36.00 14.00 14.60 11.90 18.00 6.32
Damage 2 16.86 16.82 15.08 55.68 14.08 14.27
Damage 3 15.75 15.65 15.90 16.15 17.30 16.30
Damage 4 56.70 20.74 20.05 31.20 27.80 10.30
Damage 5 25.22 19.30 25.88 40.03 16.51 18.97
Damage 6 25.73 26.05 24.54 28.90 33.10 27.70
Table 3 Damage index based on experiment result
Post. Bolt
1
Bolt
2
Bolt
3
Bolt
4
Bolt
5
Bolt
6 Case Damage 1 10.40 7.00 1.60 0.67 0.45 0.41
Damage 2 0.45 2.20 0.44 5.47 1.62 0.62
Damage 3 1.80 2.20 3.11 2.38 7.76 2.56
Damage 4 29.30 9.10 5.30 3.20 2.53 2.86
Damage 5 0.58 1.88 0.32 5.93 4.70 2.39
Damage 6 3.73 3.25 7.54 0.82 11.43 3.77
Table 2 and Table 3 show that most of DI is greater
than 1, which means that the damage condition
(loosening) of the joint almost can be detected in every
position of measurement, and the highest value of
damage index in the same damage case represents the
position of the loose bolt. These results correspond to
the scenario of some cases of loosening designed in this
research.
Damage Detection in Membrane Structures Using Non-contact Laser Excitation and Wavelet Transformation
The vibration of membranes has been investigated with
different types of non-contact excitation and vibration
measurement methods, such as horn-acoustical
excitation and capacitance displacement sensor,
speakers-acoustical excitation and laser vibrometer,
laser excitation by laser ablation and laser Doppler
vibrometer (LDV), but these measurement methods do
not fulfill the requirements of ideal non-contact
measurements method for membrane. The ideal
measurement method for membrane should be non-
destructive, allow conducting experiment in small area,
attach no sensors/exciters to objective structure which
causes the changes of mass and stiffness, and give ideal
point-excitation to the structure. Vibration test using
laser-induced breakdown (LIB) is non-contact and non-
destructive excitation method which involves no any
attachments to objective structures, and offers the
possibilities of applying acoustical excitation on a point
with some distance between exciter and membrane
structure. This research concerns about the use of laser
excitation by LIB for detecting damage in membrane
structure.
Vibration testing system using LIB
In this research, an excitation to a membrane structure is
applied in the form of acoustic excitation achieved by
generating an ideal point sound source at specific
location via LIB which offers the possibility of
conducting experiments with acoustic excitation in
limited space. To measure the output response, two
LDVs are set to obtain the responses of the membrane
structure. These measurements enable to extract the
mode shapes of membrane. A spectrum analyzer (A/D;
NI-4472B, Software; Catec CAT-System) is used for
Condition Tightening Torque (Nm)
Bolt 1 Bolt 2 Bolt 3 Bolt 4 Bolt 5 Bolt 6
Normal 24.50 24.50 24.50 24.50 24.50 24.50
Damage 1 20.00 24.50 24.50 24.50 24.50 24.50
Damage 2 24.50 24.50 24.50 20.00 24.50 24.50
Damage 3 24.50 24.50 24.50 24.50 20.00 24.50
Damage 4 16.50 24.50 24.50 24.50 24.50 24.50
Damage 5 24.50 24.50 24.50 16.50 24.50 24.50
Damage 6 24.50 24.50 24.50 24.50 16.50 24.50
analysing the Fourier spectrum of the structure. The
vibration testing set-up is shown in Fig. 11.
Fig.11 Vibration testing set-up for the membrane structure
The membrane material is Kapton, manufactured by
Du Pont-Toray Co., Ltd. Owing to its good resistance to
temperature; Kapton is often used in actual space
applications. The membrane here is 200 mm 200 mm
in size and 50 µm thick which is clamped on four sides
by metal clamps and kept stretched by three 700 gram
masses and one side is fixed. The masses and the fixed
side are connected to the metal clamps by steel wires.
FEA investigation of damage detection on the membrane structure
The finite element analysis software ANSYS 14.0 is
used to conduct the pre-stress modal analysis to
generate the mode shapes of normal and damaged
membrane structures. The SHELL181 element of
ANSYS is used to construct the physical model of the
membrane, and the SOLID186 element is employed to
model the clamps at the corners of the membrane. The
membrane is uniformly divided into approximately
10,000 2 mm 2 mm four node membrane elements.
The finite element model of the membrane structure is
shown in Fig. 12.
Fig. 12 Finite element model of the membrane structure
Two-dimensional continuous wavelet transformation for damage detection in membrane structure
The two-dimensional continuous wavelet transformation
(2-D CWT) considered in this study is based on the
formulation by Antoine [7], and wavelet computations
are performed using MATLAB® and the YAWTb
toolbox. The procedure to detect the position of damage
in the membrane structure is adopted from the
procedure suggested by Fan [8], using the 2-D CWT
derivative Gauss (Dergauss2d) and iso-surface concept,
which was used successfully for detecting damage on
plates using mode shape data. The mode shape data is
transformed by 2-D CWT with several scales and by
using iso-surface concept, the position of damage can be
recognized.
Application of damage detection
To verify and to examine the applicability the damage
detection approach using 2-D CWT by simulation, three
different single-damage conditions were induced in the
membrane finite element models. The details of the
three damage cases are listed in Table 4. These damages
are induced to membrane by simulation and experiment.
Table 4 Details of the damage induced on the membrane
Damage
type
Damage size
(mm)
Closest measurement
point (x,y) in mm
L-cut
(120,120)
L-tear
(140,100)
I-cut
(80,100)
The process of analysis for detecting the damages can
be explained by using Fig. 13. The mode shape
extracted from simulation is interpolated to get more
data points of mode shape which then transformed by 2-
D CWT to get wavelet coefficient. The boundary
treatment is applied to move very high value on the
corners and the edge. The position of damage can be
recognized by applying iso-surface concept to wavelet
coefficient. The same procedure is applied to vibration
mode shape extracted from vibration measurement by
laser excitation. The comparison between simulation
and experimental results is presented in Table 5.
Fig. 13 Process of the analysis for detecting the L-cut
damage on the membrane by simulation data (a) first
principal mode shape (41.78 Hz), (b) interpolated first
principal mode shape, (c) wavelet coefficient, (d) wavelet
coefficient with boundary treatment, (e) 3-D view of iso-
surface, (f) top view of iso-surface.
Table 5 shows that the damages on membrane could
be detected well by using proposed method. The
position of L-cut and L-tear damages could be detected
using first principal mode shape, but I-cut damage could
not be detected using first principal mode shape, thus
the higher order mode shape (in the frequency of 843.8
Hz by simulation and 851 Hz by simulation) was
employed to detect the position of damage. The
simulation and experimental results are in good
agreement.
Table 5 Comparison of damage detection between simulation
and experimental results
Damage
type
Simulation
result
Experimental
result
L-cut
L-tear
I-cut
In order to make sure applicability the proposed
approach to detect more damage, I-cut and square-hole
damages are introduced to the membrane. The positions
of damage on the membrane can be seen in Fig. 14.
Because these damages cannot be detected well using
first principal mode shape, the higher order mode is
considered to detect these two damages on the
membrane.
Fig. 14 Membrane with I-cut and square-hole damages
Vibration testing using laser excitation is conducted
on the membrane. Some vibration mode shapes at high
frequency got from experiment are checked to find the
mode shape which contains dominant peak of both types
of damages. It is found at natural frequency of 799.1
Hz, the mode shape contains dominant peaks which
show the local mode of damage. The analysis process
for detecting these two damages is presented in Fig. 15.
The position of the two damages can be detected well.
Fig. 15 Process of the analysis for detecting I-cut and
square-hole damage on the membrane by experimental
data (a) mode shape (799.1 Hz), (b) wavelet coefficient
with boundary treatment, (c) 3-D view of iso-surface, (d)
top view of iso-surface
Conclusion
In this dissertation, two methods of non-contact
excitation by laser were elaborated. These excitation
methods have high reproducibility, can apply ideal
impulse excitation to structure, have the big potency to
be implemented to vibration testing without measuring
the input, and really powerful in extracting high
frequency measurement, cause the easiness of
implementing them to structural health monitoring
(SHM). These have been proofed by the application of
non-contact laser excitation by laser ablation in
detecting bolt loosening and by the application of non-
contact laser excitation by laser induced breakdown in
detecting damage in membrane structure.
References
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impulse response excited by laser ablation, Journal of Sound
and Vibration, 330, 5045 – 5057, 2011.
[2] N. Hosoya, M. Nagata, I. Kajiwara, Acoustic testing in a
very small space based on a point sound source generated by
laser-induced breakdown: stabilization of plasma formation,
Journal of Sound and Vibration, 332, 4572 – 4583, 2013.
[3] Q. Qin , K. Attenborough, Characteristics and application of
laser-generated acoustic shock waves in air, Applied
Acoustics, 65, 325-340, 2004.
[4] M. Oksanen, J Hietanen, Photo acoustic breakdown sound
source in air, Journal of Ultrasonics, 32, 327-333, 1994.
[5] V.B. Georgiev, V.V. Krylov, Q. Qin, K. Attenborough,
Generation of flexural waves in plates by laser-initiated air
borne shock waves, Journal of Sound and Vibration, 330,
217-228, 2011.
[6] Shigley, J.E., [Mechanical Engineering Design Eight
Edition], McGraw-Hill, USA, 413-414, (2006).
[7] J.P. Antoine, R. Murenzi, P. Vandergheynst, Two-
dimensional wavelets and their relatives, Cambridge
University Press, Cambridge, 2004
[8] W. Fan, P. Qiao, A 2-D continuous wavelet transform of
mode shape data for damage detection of plate
structures, International Journal of Solids and Structures
46 (2009) 4379-4395.