using thermoelastic stress analysis to detect damaged and ...€¦ · specific heat coefficient at...

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Journal of Mechanics Engineering and Automation 5 (2015) 623-634 doi: 10.17265/2159-5275/2015.11.005 Using Thermoelastic Stress Analysis to Detect Damaged and Hot Spot Areas in Structural Components Freire J. L. F. 1 , Waugh, R. C. 2 , Fruehmann, R. 2 and Dulieu-Barton, J. M. 2 1. Mechanical Engineering Department, Pontifical Catholic University of Rio de Janeiro, PUC-Rio, Rio de Janeiro 22453-900 Brazil 2. Faculty of Engineering and Environment, University of Southampton, Southampton SO17 1BJ, UK Abstract: This paper discusses the suitability of using TSA (thermoelastic stress analysis) as an advanced tool to detect damaged areas and highly stressed (hot spot) areas in structural components. Such components can be, for example, parts of large structural panels built of welded metallic or composite materials. Besides detecting hot spot areas, it is expected that stresses in these areas can be suitably quantified and processed in order to predict crack initiation and propagation due to in-service loads. The paper starts with references to selected review and application articles on the subject. Two simple laboratory experiments are presented which illustrate the quality of the results that can be achieved using TSA. In the first experiment, a stainless steel T-joint designed to model a welded structural component is analysed. The T-joint had a machine-notched crack-like flaw close to the component’s weld toe. The qualitative and quantitative experimental results determined along four specified areas of the T-joint model showed that TSA can indeed be used as a tool to detect loaded cracks and hot spots in large metallic structures, and that stresses can be accurately evaluated. In the second experiment, a prismatic bar made of CFRE (carbon fibre-reinforced-epoxy) was tested to locate three subsurface areas of damage introduced beforehand into the component. Two of these inside damaged areas were detected to be 3.1 mm and 7.1 mm from the observed surface. The positive results achieved with the two lab experiments, along with a review of the selected research publications, indicate that TSA application can be extended to the real-world field of structural components. Topics to be addressed in this research field should have to do with components that work under random or quasi-cyclic service loading, problems where adiabatic conditions do not prevail, and reduction of the cost of infra-red cameras. Key words: TSA, stress distribution, NDT, stress distribution, stress concentration, crack, T-joint, infra-red. 1. Introduction TSA (thermoelastic stress analysis) or Thermoelasticity is an experimental stress analysis technique based on the thermoelastic effect. The thermoelastic effect is defined as the change in temperature at a point on a body due to its elastic deformation under adiabatic conditions. The thermoelastic effect was reported by Weber in 1830 and its associated theory was published by Lord Kelvin in 1853 [1-3]. The thermoelastic effect causes a point on a body under cyclic loading to undergo a reversible change in temperature that is proportional to the first stress invariant. Under adiabatic and plane stress conditions (surface point on the loaded body) Eq. (1) applies, where, T o is the reference temperature, c σ is the specific heat coefficient at constant pressure, ρ is the mass density, α is the linear thermal expansion coefficient constant, and Δσ is the cyclic change of the stress invariant [3, 4]. Adiabatic conditions will exist for the material point under consideration if the heat conduction rate is negligible in relation to the change in temperature induced by the thermoelastic effect. c T T o . 1 . . . 2 1 (1) Eq. (2) is obtained by rewriting Eq. (1) using a material constant K, defined as K = α/ρ·c σ . The K values for structural materials are given in Table 1 [2]. This table also gives resolution indications for determining Δσ values, depending on the ΔT measurement resolution for the listed materials. 2 1 . . o T K T (2) D DAVID PUBLISHING

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Page 1: Using Thermoelastic Stress Analysis to Detect Damaged and ...€¦ · specific heat coefficient at constant pressure, ρ is the mass density, α is the linear thermal expansion coefficient

Journal of Mechanics Engineering and Automation 5 (2015) 623-634 doi: 10.17265/2159-5275/2015.11.005

Using Thermoelastic Stress Analysis to Detect Damaged

and Hot Spot Areas in Structural Components

Freire J. L. F.1, Waugh, R. C.2, Fruehmann, R.2 and Dulieu-Barton, J. M.2

1. Mechanical Engineering Department, Pontifical Catholic University of Rio de Janeiro, PUC-Rio, Rio de Janeiro 22453-900 Brazil

2. Faculty of Engineering and Environment, University of Southampton, Southampton SO17 1BJ, UK

Abstract: This paper discusses the suitability of using TSA (thermoelastic stress analysis) as an advanced tool to detect damaged areas and highly stressed (hot spot) areas in structural components. Such components can be, for example, parts of large structural panels built of welded metallic or composite materials. Besides detecting hot spot areas, it is expected that stresses in these areas can be suitably quantified and processed in order to predict crack initiation and propagation due to in-service loads. The paper starts with references to selected review and application articles on the subject. Two simple laboratory experiments are presented which illustrate the quality of the results that can be achieved using TSA. In the first experiment, a stainless steel T-joint designed to model a welded structural component is analysed. The T-joint had a machine-notched crack-like flaw close to the component’s weld toe. The qualitative and quantitative experimental results determined along four specified areas of the T-joint model showed that TSA can indeed be used as a tool to detect loaded cracks and hot spots in large metallic structures, and that stresses can be accurately evaluated. In the second experiment, a prismatic bar made of CFRE (carbon fibre-reinforced-epoxy) was tested to locate three subsurface areas of damage introduced beforehand into the component. Two of these inside damaged areas were detected to be 3.1 mm and 7.1 mm from the observed surface. The positive results achieved with the two lab experiments, along with a review of the selected research publications, indicate that TSA application can be extended to the real-world field of structural components. Topics to be addressed in this research field should have to do with components that work under random or quasi-cyclic service loading, problems where adiabatic conditions do not prevail, and reduction of the cost of infra-red cameras.

Key words: TSA, stress distribution, NDT, stress distribution, stress concentration, crack, T-joint, infra-red.

1. Introduction

TSA (thermoelastic stress analysis) or

Thermoelasticity is an experimental stress analysis

technique based on the thermoelastic effect. The

thermoelastic effect is defined as the change in

temperature at a point on a body due to its elastic

deformation under adiabatic conditions. The

thermoelastic effect was reported by Weber in 1830

and its associated theory was published by Lord

Kelvin in 1853 [1-3].

The thermoelastic effect causes a point on a body

under cyclic loading to undergo a reversible change in

temperature that is proportional to the first stress

invariant. Under adiabatic and plane stress conditions

(surface point on the loaded body) Eq. (1) applies,

where, To is the reference temperature, cσ is the

specific heat coefficient at constant pressure, ρ is the

mass density, α is the linear thermal expansion

coefficient constant, and Δσ is the cyclic change of the

stress invariant [3, 4]. Adiabatic conditions will exist

for the material point under consideration if the heat

conduction rate is negligible in relation to the change

in temperature induced by the thermoelastic effect.

c

TT o .

1... 21 (1)

Eq. (2) is obtained by rewriting Eq. (1) using a

material constant K, defined as K = α/ρ·cσ. The K

values for structural materials are given in Table 1 [2].

This table also gives resolution indications for

determining Δσ values, depending on the ΔT

measurement resolution for the listed materials.

21.. oTKT (2)

D DAVID PUBLISHING

Page 2: Using Thermoelastic Stress Analysis to Detect Damaged and ...€¦ · specific heat coefficient at constant pressure, ρ is the mass density, α is the linear thermal expansion coefficient

Using T

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Page 3: Using Thermoelastic Stress Analysis to Detect Damaged and ...€¦ · specific heat coefficient at constant pressure, ρ is the mass density, α is the linear thermal expansion coefficient

Using Thermoelastic Stress Analysis to Detect Damaged and Hot Spot Areas in Structural Components

625

applications. Today’s research and equipment are

intended to increase the advantages of TSA while

simultaneously decreasing its disadvantages as much

as possible. Recent literature published on TSA’s

widespread area points to several applications that

attempt to use the method to conduct non-destructive

evaluation tests; correlate the input (load) and output

(temperature) measurements in situations of

quasi-random loading; detect fatigue cracks; quantify

stresses near crack tips; apply the method to

quasi-adiabatic conditions; detect damage in

composite materials; determine vibration modes in

dynamic problems; and to combine TSA and DIC

(digital image correlation) in the investigation of

stresses near crack-tips [2-9]. Recent research

programs have also aimed at developing and using

lower cost equipment for TSA applications [8].

The use of TSA in two laboratory experiments is

described herein. The basic principles used in these

experiments are to be further developed in a research

program in order to consistently apply TSA as an

NDT tool to locate damage, crack-like defects, hot

spots, and to quantify stresses in actual structures

under service conditions.

In the first experiment, a stainless steel T-joint

designed to model a welded structural component was

analysed. The T-joint had a machine-notched crack-like

flaw in the model area that simulates the component’s

weld toe. In the second experiment, a prismatic bar

made from CFRE (carbon-fibre-reinforced-epoxy)

was tested to locate subsurface areas of damage

introduced beforehand into the component.

2. TSA Analysis of a Cracked T-joint Specimen

The objectives of the TSA analysis of a T-joint

specimen were to detect and quantify the highly

stressed areas near the tip of a machine-notched

crack-like defect introduced into the toe of one weld,

and to detect the stress concentration site located at

the opposite weld toe. The experiment was meant to

show that a loaded crack and the stress concentration

existing in a hot spot area can indeed be detected.

Furthermore, the experiment had the purpose of

showing that actuating stresses can be satisfactorily

quantified at any visible point belonging to the image

field, the examined point being located in a hot spot

area or in any nominal location of the structure.

A sketch of the T-joint tested model is presented in

Fig. 2. The model was made from stainless steel

classified as ANSI 316L. The model was machined

from a 4.9 mm thick plate and one notch with length a

equal to 10 mm and nominal width of 0.3 mm was

machined with a milling saw. The notch was

introduced to simulate a crack-like flaw. The observed

surface of the T-joint specimen was painted with two

thin layers of Matt Black RS 496-782 to homogenize

and help with the surface temperature measurements.

A sinusoidal tensile load was imposed on the T-joint

web by means of a servo-hydraulic testing machine

INSTRON 8802. Cyclic sinusoidal loading P was

applied to the test specimen from 1 kN to 3 kN, with a

frequency rate of 5 Hz. The constant load amplitude

was equal to 1 kN. Temperature measurements were

taken with an FLIR 5000 infra-red camera, with a

nominal standard temperature resolution of 10-3 K.

During the experiment, the average reference

temperature of the specimen was 20 °C or 293 K.

Temperature (range) variation measurements were in

the order of 0.5 K at the most stressed points. Image

frames were recorded at 383 Hz (acquisition rate) and

integration time was equal to 1,300 µs. Prior

calibration of the 316L stainless steel used in the

experiment furnished a thermoelastic constant K =

4.04 × 10-12 Pa-1 to be used in Eq. (2).

The data acquired with the infra-red camera and

processed using dedicated developed software are

shown in Figs. 3 and 4. The camera reads the reference

temperature at each observed point as well as the

small temperature variations that occur during the test

acquisition time. Full field images of the reference

temperature distributions and of the temperature

(range) variations are shown in Figs. 3a-3d.

Page 4: Using Thermoelastic Stress Analysis to Detect Damaged and ...€¦ · specific heat coefficient at constant pressure, ρ is the mass density, α is the linear thermal expansion coefficient

Using T

626

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Page 5: Using Thermoelastic Stress Analysis to Detect Damaged and ...€¦ · specific heat coefficient at constant pressure, ρ is the mass density, α is the linear thermal expansion coefficient

Using Thermoelastic Stress Analysis to Detect Damaged and Hot Spot Areas in Structural Components

627

(a) Test temperature To (b) Test temperature To, colour processed

(c) Full field ΔT map, gray scale (d) Full field ΔT map, colour processed

(e) Full field ΔT Phase map and detail near the crack tip (f) Lines along which data on ΔT and To were requested from the

experiment file. Processed data of ΔT/To from lines 1-4 will furnish (σ1 + σ2) along these lines

Fig. 3 Images and raw data from the T-joint test.

Page 6: Using Thermoelastic Stress Analysis to Detect Damaged and ...€¦ · specific heat coefficient at constant pressure, ρ is the mass density, α is the linear thermal expansion coefficient

Using Thermoelastic Stress Analysis to Detect Damaged and Hot Spot Areas in Structural Components

628

Line 3 defines a cross section in the horizontal

element of the T-joint. The cross-section defined by

line 3 was chosen for measuring the bending stresses

caused by the reaction support load ΔP/2. Vertical line

4 coincides with the continuation of the crack-like

notched surface plane and its first acquisition point

was located 1.0 mm in front of the notch root.

Figs. 4a and 4b give the temperature range and the

reference temperature for points on lines 1 to 4, i.e.,

the acquired data in terms of ΔT and To. This

information, processed using Eq. (2), gives the

results for stress invariants (σ1 + σ2) along the

specified lines. Results for (σ1 + σ2) invariants along

lines 1 to 4 are presented in Figs. 5-8.

Line 2 defines a nominal region of the specimen,

where the maximum tensile stress ranges Δσ1 = ΔσN

caused by the normal force is expected to be:

APN / (3)

or 13.6 MP and the minimum stress range Δσ2 is

expected to be zero. In Eq. (3), ΔP is the range of

applied force equal to 2 kN, and A is the cross section

area of the loaded specimen. A plot of the measured

stress invariant of line 2 is given in Fig. 5. It can be

seen that the TSA measurements indicate a strong

presence of bending stresses in this section, superposed

on the stresses N caused by the normal load. The

maximum and minimum bending stresses were equal

to plus and minus 9.5 MPa, respectively. The average

uniaxial stress measured using TSA is equal to 15.6

MPa and this value agrees satisfactorily (13% difference)

with the nominal calculated value of 13.6 MPa.

The measured TSA stresses along line 3 and the

expected bending stresses calculated for this line are

plotted in Fig. 6. The normal stresses were calculated

by using the simple bending equation

3.

..212

Ht

yLP

M

(4)

where, L is the distance from the right support to the

cross section defined by line 3, and H and t are,

respectively, the height and thickness of the cross

section. Coordinate y is the height of a point being

considered with respect to the neutral fibre. It can be

seen in Fig. 6 that the agreement among TSA

experimental and simple bending equation results can

be considered excellent, since both tendency lines (not

plotted) are almost identical.

(a) ΔT data from the experiment file. Data requested from lines 1-4

(b) To data from the experiment file. Data requested from lines 1-4

Fig. 4 Temperature data collected along the chosen lines (1-4) to be analysed.

Page 7: Using Thermoelastic Stress Analysis to Detect Damaged and ...€¦ · specific heat coefficient at constant pressure, ρ is the mass density, α is the linear thermal expansion coefficient

Using Thermoelastic Stress Analysis to Detect Damaged and Hot Spot Areas in Structural Components

629

Fig. 5 Plot of TSA measured and calculated stress invariants at points located along line 1. Note the strong influence of bending stresses superposed on stresses caused by normal force.

Fig. 6 Bending stress plot across the section defined by line 3. Plot of TSA measured and calculated stress invariants at points located along line 3.

Stresses calculated in an area near the tip of the

machine-notched simulated crack-like flaw were

experimentally and analytically determined for

comparison purposes. Two sets of data were acquired

from the TSA experiment and are represented by lines

1 and 4. Horizontal line 1 was passed at a distance of

1.5 mm from the crack tip so that the geometry of the

notch root would not influence the theoretical and

experimental stress analysis carried out for comparing

stresses determined by both methods. Vertical line 4

was passed in continuation of the flaw surface.

The stress analysis of the TSA measured data

acquired along lines 1 and 4 passing near the notch

root (or crack tip) can be analysed in two different

ways. The first approach uses measured stress values

for each spatial point location. These stresses and

point locations are then used to determine the stress

intensity values for the machine-notched crack-like

flaw. The second approach, employed in this article,

uses literature equations of stress intensity factors [10]

to determine the stress invariants along lines 1 and 3.

For comparison purposes, these analytically

determined data were plotted in Figs. 7 and 8 together

with the TSA measured invariant stress data.

The analytical equation used to determine the first

stress invariant range as a function of known Mode I

0

5

10

15

20

25

0 10 20 30

Ten

sile

str

ess

(MP

a)

Position along section represented by line 2 -2 (mm)

TSA uniaxial stress measurements

Tensile stress calculations

线性 (TSA uniaxial stress measurements)

-80

-60

-40

-20

0

20

40

60

80

-20 -10 0 10 20Ben

din

g st

ress

(M

Pa)

Position along the height of section 3-3 (mm)

TSA bending stress measurements

Bending stress calculations

Page 8: Using Thermoelastic Stress Analysis to Detect Damaged and ...€¦ · specific heat coefficient at constant pressure, ρ is the mass density, α is the linear thermal expansion coefficient

Using Thermoelastic Stress Analysis to Detect Damaged and Hot Spot Areas in Structural Components

630

and Mode II ranges of stress intensity factors ΔKI and

ΔKII, respectively, is [10]:

1 2 I II

2.cos .sin

2 22 .K K

r

(5)

where, r and θ are the coordinates (relative to the

notch root or crack-tip) at each spatial point on lines 1

and 4. From this expression, it can be seen that the

influence of KII is expected to be small for points

along line 1 when they are close to the notch root, due

to the small value of their θ coordinate and,

consequently, of the sine value of θ/2. Values for KI

and KII for similar geometry and loading conditions

were determined (using Photoelasticity) in an earlier

report [11]. In that investigation, the values for KI

were seen to approach standard solutions of cracked

bars under three or four point bending, and the values

for KII were small as 20% of the KI values. For the

present report, the linear elastic analytical equation

used to determine ΔKI represented the standard case of

a bar of isotropic material under four point bending, as

given in Ref. [10]:

4I 3/ 2

.6. . 2 tan( ).2 2. . 0.923 0.199(1 sin( ))

.. 2cos( )2

n

P aLaHK

at H HH

(6)

where, a = 10 mm is the length of the

machine-notched crack-like flaw and Ln = 45 mm is

the distance between the left support of the specimen

and the section containing the notch.

Fig. 7 shows the TSA-measured and the calculated

stress invariant ranges at points located along line 1.

This line passes 1.5 mm below the notch root. The

calculated values employed Eqs. (5) and (6) for the

stress invariant and ΔKI determinations, respectively.

A plot of calculated stresses considering the influence

of ΔKII =0.20ΔKI is also shown, and it can be seen

that the influence of ΔKII is negligible for points along

the line. A satisfactory comparison of the measured

TSA and the analytically calculated results can also be

seen.

The TSA-measured and the calculated stress

invariant ranges at points located along line 4 are

shown in Fig. 8. This line starts 1.0 mm below the

notch root. The calculated values employed Eq. (6) for

calculating stress intensity ΔKI. Points along this line

have coordinate θ = 0 and therefore, the calculations

using Eq. (5) are not influenced by ΔKII. One can also

Fig. 7 Plot of TSA-measured and calculated stress invariant rangesat points located along line 1 passing 1.5 mm below the notch root.

0

50

100

150

200

250

300

350

400

450

500

-20 -10 0 10 20

Str

ess

Inva

rian

t al

ong

lin

e 1-

1 (M

Pa)

Position along line 1-1 (mm)

TSA stress measurements

Near field KI LEFM stress calculations

Near field KI and KII stress calculations

Page 9: Using Thermoelastic Stress Analysis to Detect Damaged and ...€¦ · specific heat coefficient at constant pressure, ρ is the mass density, α is the linear thermal expansion coefficient

Using Thermoelastic Stress Analysis to Detect Damaged and Hot Spot Areas in Structural Components

631

Fig. 8 Plots of TSA-measured and calculated stress invariants at points located below the notch root and along line 4.

see a satisfactory comparison of the TSA-measured

and the analytically calculated results for points as

close as 1.0 mm to the notch root and as far as 4 mm

from the notch root.

For the cases of points located along lines 1 and 4,

the validity of analytical equations has to be

considered in terms of the point coordinate locations

having to do with the notch root or crack tip. Eq. (5) is

valid only in the so-called crack tip near field, which

in the present case is bounded by two spatial limits.

One is a very-near-field limit that must consider the

geometric shape of the notch root and its radius of

influence on the stress distribution [12]. The other is

the far field limit. The size of the far field limit

considers the influence of the far field stresses, which

depend on, for example, the size of the remaining

ligament area, the nominal loading, and the proximity

of the crack tip to the horizontal free-boundary of the

bar. To take into account the very-near and far field

influences, stress Eq. (5) would need the insertion of

terms as shown in Refs. [13-15].

The qualitative and quantitative experimental

results presented in this section illustrate how the TSA

method can be thought of as a tool to detect loaded

cracks and hot spots in large structures, and how those

stresses can be quantitatively evaluated. Advanced

research on extending the application of TSA to real

world field structural components, where quasi-cyclic

service loading actuates and adiabatic conditions do

not prevail, is on-going, as discussed in Refs. [6, 8, 9]

for example.

3. Inspection of a Composite Thick Slab with Delamination Defects

The inspection of composite structures is in great

demand due to an exponential increase in the use of

materials in structures that carry high static and

dynamic loads, such as components used in the

aeronautical and automotive fields. Nowadays,

advanced experimental stress analysis and NDT

(non-destructive testing) techniques, which are

appropriate for these materials, are needed in every

phase of their fabrication and in-service life.

Techniques such as Shearography [16] and TSA [4]

were developed as reliable tools some time ago for

this purpose, but today they are being revisited to

extend and enhance their applicability as feasible tools

for inspecting damaged composite panels [5, 17].

The thermoelastic response of composite materials

is not simply proportional to the change of the stress

invariant, but TSA can be an important tool to indicate

damage areas in composite specimens even if these

areas are located beneath the observed surface [2].

The potential for applying the TSA method as an

-200

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TSA stress measurements

Near field LEFM stress calculations

Far field non valid LEFM stress calculations

Page 10: Using Thermoelastic Stress Analysis to Detect Damaged and ...€¦ · specific heat coefficient at constant pressure, ρ is the mass density, α is the linear thermal expansion coefficient

Using T

632

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Page 11: Using Thermoelastic Stress Analysis to Detect Damaged and ...€¦ · specific heat coefficient at constant pressure, ρ is the mass density, α is the linear thermal expansion coefficient

Using Thermoelastic Stress Analysis to Detect Damaged and Hot Spot Areas in Structural Components

633

range image is shown in Fig. 9c. The scale in Fig. 9c

indicates the temperature ranges using DL (digital

level) temperatures, which still have to be processed

and converted to Kelvin degrees. A temperature phase

distribution image is given in Fig. 9d.

Avisual inspection of the images shown in Figs. 9c

and 9d show that the experimental results obtained

with the TSA method can indicate with satisfactory

resolution the positions of the two closest damaged

surface areas of the composite specimen. All three

damaged areas are highlighted by arrows in Figs. 9c

and 9d. The first and second damaged areas are

located at depths of 3.7 mm and 7.1 mm from the

observed surface and can be visually detected,

although noise is present in the images. The third

damaged area, located 9.1 mm from the observed

surface, could not be detected in this experiment.

The overall conclusion from this experiment is that,

although noisier signals are to be expected, careful

examination of CFRE composites will indicate

internal damaged areas, and that these damaged areas

can be as much as 6 mm (a safer distance) from the

observed surface.

4. Conclusions

This paper has shown that TSA can be used as an

advanced tool to detect damaged areas and highly

stressed (hot spot) areas in structural components, and

that stresses in these areas can be suitably quantified.

Two laboratory experiments were presented to

illustrate the quality of the results that can be achieved

using TSA. In the first experiment, a stainless steel

T-joint designed to model a welded structural

component was analysed. The T-joint had a

machine-notched crack-like flaw close to the

component’s weld toe. In the second experiment, a

prismatic bar made of CFRE was tested to locate three

subsurface areas of damage previously introduced into

the component. Two of these inside damaged areas

were detected to be 3.1 mm and 7.1 mm from the

observed surface. The positive results achieved with

the two lab experiments, along with the review of

selected research publications, indicate that TSA

application can be extended to the real-world field of

structural components. Topics to be addressed in this

research field should have to do with components that

work under random or quasi-cyclic service loading,

problems where adiabatic conditions do not prevail,

and reduction of the cost of infra-red cameras.

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