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Durability of Concrete in Cold Regions – Evaluation of deterioration from combined frost and salt damage using ultrasonic
waves – Fumio-TAGUCHI,Hirotake-ENDOH
Material Research Team, Civil Engineering Research Institute for Cold Region
Abstract: The purpose of this study was to establish a diagnosis technique that allows quick and simple evaluation of the
degree of deterioration caused by combined frost and salt damage (frost-salt damage) in concrete structures. In the
study, focus was placed on the theory of the surface scanning method, which is a nondestructive approach that can be
used to easily estimate the thickness of deteriorated areas from the surface, and the technique was applied to diagnosis
of frost-salt damage. The results revealed that surface scanning was effective as a nondestructive method of estimating
the thickness of the deteriorated area affected by frost-salt damage with a certain level of accuracy, and that the depth of
parts where the relative dynamic modulus of elasticity is lower than the value of the threshold (60%) can be estimated
from the slope of a graph created using the measurement data thus obtained.
Keywords: frost damage, deterioration from combined frost and salt damage, ultrasonic propagation velocity,
nondestructive method, surface scanning, diagnosis
1. Introduction
Concrete structures in cold regions are susceptible to
deterioration from frost damage or combined frost and salt
damage due to severe freeze-thaw action and other causes.
Such deterioration also results in reduced concrete strength,
an increased rate of chloride ion penetration and decreased
bond strength of reinforcements.
At present, frost deterioration of concrete is usually
diagnosed by evaluating its depth and degree based on
microscopic measurement of the air-bubble spacing factors of
core samples and examination of ultrasonic propagation
velocity in such core samples at certain depths. However,
core sampling causes damage to concrete components, and
investigating wide areas using such methods involves high
cost and takes a long time. There are also problems related
to work efficiency, such as the necessity of scaffolding for
boring machines.
Accordingly, an experimental study on frost damage
diagnosis using the surface scanning method1) was conducted
with the aim of establishing a diagnosis technique that can be
used to evaluate the degree of deterioration caused by
frost-salt damage in concrete structures through a quick and
simple nondestructive testing approach.
2. Surface scanning method
Surface scanning is a method of estimating the thickness of
deteriorated layers near the concrete surface through
nondestructive testing using ultrasonic waves 1).
If an ultrasonic emission sensor and a receiving sensor
are placed on the concrete surface and the receiving sensor is
moved away from the emission sensor at certain intervals as
shown in Fig. 1, ultrasonic waves passing through
deteriorated areas reach the receiving sensor first. However,
when the distance between the emission and receiving sensors
exceeds a certain level, ultrasonic waves spread mostly via
the top edge of the healthy area where the propagation
velocity becomes high and the spread time reaches its
minimum. The rate of increase in the ultrasonic spread time
becomes lower with greater distances between the emission
and receiving sensors, and the relationship between this
distance and the increase in ultrasonic spread time is as
indicated by the line graph shown in Fig. 1.
Assuming that the distance from the origin to the
inflection point where the slope of the line changes is X0 and
that the ultrasonic propagation velocity is Vd in the
deteriorated area and Vs at the edge of the healthy area (Vd
and Vs are both reciprocals of the graph slope), the thickness
of the deteriorated area t can be expressed using the equation
below1).
Receiving
Deteriorated area
Healthy area
Xo
t
Vd
Vs
Distance from the emission sensorto the receiving sensor
Ultr
ason
ic s
prea
d tim
eEmission
Fig. 1 Concept of the surface scanning method1)
ds
ds
VV
VVXt
2
0 (1)
The purpose of the present study was to apply this theory
to frost damage diagnosis. In other words, it was conducted
to determine whether the depth and degree of frost damage in
hardened concrete can be evaluated using a nondestructive
surface scanning method on the assumption that the
deteriorated area shown in Fig. 1 was affected by frost
damage.
3. Overview of the laboratory experiment
3.1 Specimen mix proportions
Table 1 shows the mix proportions of the specimens used.
The water-cement ratio was 55% – a value usually used in
cold, snowy regions to ensure resistance to frost damage.
The material parameters were determined with focus on
cement types and maximum size of coarse aggregate. Two
types of cement (normal Portland and Type B blast-furnace
slag) and three coarse aggregate conditions (mortar without
coarse aggregate, a maximum size of 20 mm and a maximum
size of 40 mm) were used. Hereafter, mix proportions will
be represented by symbols combining the type of cement
(normal: N; blast-furnace slag: B) and coarse aggregate (no
Table 1 Mix proportion of specimens
Symbol Cement Gmax
(mm)Unit (kg/m3)
W C S G
NG0 NP - 267 486 1,551 -
NG20 NP 20 154 280 893 1,119
NG40 NP 40 154 280 893 1,123
BG20 BB 20 154 280 889 1,115Note: NP is Normal, BB is Blast-furnace slag, Gmax is the maximum size of coarse aggregate, Unit is Quantity of material per unit volume of concrete, W is water, C is cement, S is fine aggregate and G is coarse aggregate. For all mix proportions, the water-cement ratio was 55% and the sand-coarse aggregate ratio was 44% (except for NG0 = mortar). To accelerate frost deterioration, no AE agent was used.
Single-surface freezing-thawing test by covering the flat surfaceof the specimen withapproximately 6 mm (1/4 in.)of water
After a certain numberof cycles, measurementusing the surface scanningmethod is conducted.
Specimens are then removed with a cutterand the ultrasonic propagation velocity(ultrasonic transmission method) in the depthdirection is measured.
150
150
100
100
400
100
Water (depth: approximately 6 mm (1/4 in.))
5
Fig. 2 Specimen and flow of the experiment
coarse aggregate: G0; max. size 20 mm: G20; max. size 40
mm: G40).
3.2 Specimens
The specimen dimensions were 100 x 100 x 400 mm (Fig. 2).
The specimens were wet-cured until an age of 7 days, and
were left standing in constant temperature and moisture
room (temperature: 20°C; humidity: 60%) until the 28th day.
At an age of 21 days, banks were attached to the placement
surface in the single-surface freezing-thawing test to keep
water on the concrete surface.
3.3 Single-surface freeze-thaw test and measurement
Figure 2 shows the flow of the experiment. Frost
deterioration was created in a single-surface freeze-thaw test
started at an age of 28 days. In the test (performed in
reference to ASTM C672), the water depth was kept at
approximately 6 mm on the concrete surface during 30, 59, 91
or 121 cycles of freeze-thaw action (1 cycle = 16 hours at
-18°C and 8 hours at 23°C in a day). Measurement using the
surface scanning method with an ultrasonic measurement
device was conducted at each cycle to examine the
relationship between the emission sensor-receiving sensor
distance and the ultrasonic spread time shown at the bottom
of Fig. 1. The emission sensor-receiving sensor distances
were 50, 100, 150, 200, 250, 300, 350 and 400 mm. The fre
quency of the measurement device was 28 kHz, and both the
emission and receiving sensors had diameters of 20 mm.
After measurement using the surface scanning method,
samples were removed from the center of the specimens using
a concrete cutter, and the ultrasonic propagation velocity
distribution between depths of 10 and 90 mm was examined
at intervals of 10 mm by placing ultrasonic emission and
receiving sensors on the cut surface of the samples (this
method is referred to here as the ultrasonic transmission
method).
4. Results of the laboratory experiment
4.1 Results of measurement using the surface scanning
method
Figure 3 shows an example of the relationship between the
emission sensor-receiving sensor distance and the ultrasonic
spread time found using the surface scanning method. The
line graph was created using a two-piece linear regression
software function2). Although there were no clear two-piece
lines before the start of the test (at zero cycles), they appeared
noticeably as the number of cycles increased.
4.2 Evaluation of the degree of frost damage using the surface
scanning method
Table 2 shows the results of calculating Vd and Vs (the
ultrasonic propagation velocity in deteriorated and healthy
areas, respectively) and t (the thickness of the deteriorated
area). In general, the accuracy of ultrasonic propagation
velocity measurement is assumed to be ±5%3). As the finite
difference between Vd and Vs at 91 cycles with BG20 was
±9% and slightly larger than 5%, t was not calculated for this
case on the assumption that there was no clear inflection
point.
Additionally, while the t value for BG20 at 121 cycles was
estimated to be 145 mm in calculation, it was assumed to be
100 mm because the upper limit was the specimen height of
100 mm.
The velocity Vd in the deteriorated area decreased with
0cyc
leS
prea
dtim
e(μ
s)
30cy
cle
Spr
ead
time
(μs)
59cy
cle
Spr
ead
time
(μs)
91cy
cle
Spr
ead
time
(μs)
121c
ycle
Spr
ead
time
(μs)
0cycle
30cycle
59cycle
91cycle
121cycle
0
50
100
0
50
100
0
50
100
0
50
100
0
50
100
200
150NG40
0 100 200 300 400
Distance between the emission andreceiving sensors(mm)
Fig. 3 Example measurement results obtained using the
surface scanning method (NG40)
Table 2 Calculation results for Vd, Vs and t
NG0 NG20
Cycles Vd Vs F1) t Vd Vs F1) t
30 3.0 4.2 17 21 3.0 3.8 12 14
59 2.9 5.7 33 88 2.6 5.1 33 56
91 3.0 6.1 33 96 2.0 4.0 33 53
121 3.1 4.6 19 64 2.5 4.4 28 63
NG40 BG20
Cycles Vd Vs F1) t Vd Vs F1) t
30 2.6 5.9 40 87 2.6 5.1 32 85
59 1.8 5.0 47 75 1.4 2.4 25 51
91 1.5 6.1 61 82 0.9 1.1 9 -2)
121 1.6 3.2 33 62 0.3 3.0 79 1003)
Note: The unit for Vd and Vs (the values of ultrasonic propagation velocity in deteriorated and healthy areas, respectively) is km/s.The unit for finite difference (the change ratio of Vs and Vd for the average value of Vs and Vd) is %.The unit for t (the thickness of the deteriorated area) is mm. 1) F is Finite difference 2) As the finite difference was small, it was judged that there
was no inflection point and t was not calculated. 3) Although the calculated value of t was 145 mm, it was
assumed to be 100 mm because the upper limit was the specimen height of 100 mm.
the progress of cycles in the series other than for NG0
(approx. 3.0 km/s), although there were variations, indicating
that damage to the deterioration section progressed as a result
of repeated freeze-thaw action.
4.4 Comparison of measurements obtained using the surface
scanning and ultrasonic transmission methods.
As an example, Fig. 4 shows the results of measurement for
NG40 using the ultrasonic transmission method. The
100
80
60
40
20
0
Dep
th fr
om s
urfa
ce(m
m)
10
30
50
70
90
Relative dynamic modulus of elasticity(%)0 20 40 60 80 100 120
NG40
Fig. 4 Results of measurement using the ultrasonic
transmission method
dynamic modulus of elasticity was calculated from the
ultrasonic propagation velocity using Eq. (2)4), and the
relative dynamic modulus of elasticity at each depth was
found from the calculated value using Eq. (3). The values
found are plotted in the figure.
708.20438.140387.4 2 nndn VVE (2)
1000
d
dn
E
ERE (3)
where Vn is the ultrasonic propagation velocity at n
cycles (km/s), Edn is the dynamic modulus of elasticity at n
cycles (GPa), RE is the relative dynamic modulus of elasticity
(%) and Ed0 is the dynamic modulus of elasticity before the
freeze-thaw test (GPa).
By including the t value calculated using the surface
scanning method (NG40 in Table 2) and the relative dynamic
modulus of elasticity at a depth of t in this figure, comparison
between the results of evaluation using the surface scanning
method and the ultrasonic transmission method were
performed. With the ultrasonic transmission method, the
relative dynamic modulus of elasticity decreased dramatically
for the NG40 specimen after 30 cycles, and the results
corresponded with those of evaluation using the surface
scanning method. While the depth of the deteriorated area
was diagnosed as approximately 80 mm with the ultrasonic
transmission method as the relative dynamic modulus of
elasticity at 80 mm or deeper exceeded the 60% threshold5) at
140
120
100
80
60
40
20
y=22.98x-0.94
Equation fromreference6)
Rel
ativ
e dy
nam
ic m
odul
us o
f el
astic
ityat
a d
epth
of
10 m
m(%
)
Slope of the graph between the origin andinflection point from the surface scanning method
0.4 0.6 0.8 1.00.20.0 1.2
NG0
Data fromreference6)
Fig. 5 Slope (origin – inflection point) and relative dynamic
modulus of elasticity at a depth of 10 mm
140
120
100
80
60
40
200.4 0.6 0.8 1.0
y=9.62x-1.33
Rel
ativ
e dy
nam
ic m
odul
us o
f el
astic
ityat
a d
epth
of
tmm
(%)
Slope of the graph after the inflection pointfrom the surface scanning method
0.20.0 1.2
Threshold of frost resistance(60%)
Average(75.8%)
59th cycle for BG20
Fig. 6 Slope (after the inflection point) and relative dynamic
modulus of elasticity at a depth of t
all cycles, the relative dynamic modulus of elasticity
calculated using the surface scanning method at a depth of t
(= 62, 75, 82, 87 cm) varied from approximately 40 to 90%.
However, the depth at which the relative dynamic modulus of
elasticity becomes equivalent to 60% was assumed to be
between around 60 and 80 cm. It was therefore presumed
that surface scanning was effective as a nondestructive
method of roughly estimating the depth of the deteriorated
area.
4.5 Diagnosis of the relative dynamic modulus of elasticity in
the deteriorated area using the surface scanning method
Next, diagnosis of the relative dynamic modulus of elasticity
in the deteriorated area using the surface scanning method
was examined. The reciprocal of the slope between the
origin and inflection point of Fig. 1 above represents the
ultrasonic propagation velocity of the deteriorated area Vd.
It can also be found from Eq. (2) that this velocity value is
closely related to the relative dynamic modulus of elasticity.
Figure 5 shows the relationship between this slope and the
relative dynamic modulus of elasticity at the shallowest point
(10 mm in depth) found using the ultrasonic transmission
method for specimens NG0 – 40 and BG20. The regression
equation obtained in a study conducted by the authors in the
previous year using concrete specimens6) is shown in the
figure. Looking at the plot values of concrete excluding data
for mortar (NG0), the tendency resembles that of the previous
year’s data6).
Next, focus was placed on the slope after the inflection
point of the line graph in Fig. 1. The reciprocal of this slope
represents the velocity of ultrasonic waves that pass through
the edge of the healthy area Vs. Similarly, Fig. 6 shows the
relationship between Vs and the ultrasonic propagation
velocity at depth t. The same tendency was observed again
at the edge of the healthy area. While the average relative
dynamic modulus of elasticity at depth t found using the
ultrasonic transmission method was 75.8%, the value found at
the edge of the healthy area using the surface scanning
method was higher than the 60%5) threshold of frost
resistance.
This means that if the ultrasonic velocity at depth t is
lower than the 60% threshold in surface scanning, the value
found by the more accurate ultrasonic transmission method
using core samples is almost certainly 60% or less and the
deteriorated area can be evaluated safely using the surface
scanning method.
From the above results, the relative dynamic modulus of
elasticity was estimated on the assumption that it decreases
linearly in the depth direction at a depth of 10 mm (the
measurable shallowest depth for the 20-mm-diameter sensor)
to t. Based on this concept, the estimated relative dynamic
modulus of elasticity at a random depth of h (within the
deteriorated area) from the surface can be expressed using the
equation below.
94.01
94.01
33.12 98.2210
10
98.2262.9
xht
xxREh
(4)
100
90
80
70
60
50
40
30
20
10
01009080706050403020100
It is highly likely that the relative dynamic modulus of elasticity is lower than the value of the threshold.
It is highly likely that the relativedynamic modulus of elasticity ishigher than the value of the threshold.
The relative dynamic modulus of elasticity may belower than the value of the threshold.
10
t
22.98x1-0.94 9.62x2-1.33
Dep
th fr
om s
urfa
ce(m
m)
Relative dynamic modulusof elasticity(%)
Estimated value
Det
erio
rate
d ar
ea
h
Measured value
Eq.(4)
Concept of calculation
Evaluation
MortarConcrete
Hea
lthy
area
Mea
sure
d va
lue(
%)
Estimated value(%)
Fig. 7 Estimated and measured values of the relative
dynamic modulus of elasticity
where REh is the estimated relative dynamic modulus of
elasticity (%) at a depth of h (10 mm ≤ h ≤ t), x1 is the slope
of the graph between the origin and inflection point, and x2 is
the slope of the graph after the inflection point.
Figure 7 shows the results. Since the relative dynamic
modulus of elasticity was assumed to decrease linearly at a
certain rate between a depth of 10 mm and t and the influence
of moisture7) was not taken into account, the relationship
between the estimated values found using the surface
scanning method and the measured values found using the
ultrasonic transmission method varied. The relative
dynamic modulus of elasticity could not be ascertained with
high accuracy. However, Eq. (4) was considered effective
as a method of estimating the depth of the part where the
relative dynamic modulus of elasticity is lower than the value
of the threshold (60%).
5. Surveys of actual structures using the surface scanning
method
5.1 Survey location
Next, surveys of actual structures were conducted using the
surface scanning method. The survey sections were
concrete of a control platform for a river sluice in Bifuka,
Hokkaido, and concrete of the control reservation on the
Soksa Interchange of the Korean expressway. Figure 8
shows a location map, and Photo 1 illustrates the survey
situation. Both areas are located in severe environments
where temperatures fall below -20°C in the coldest season.
Bifuka
Sapporo Korea
SeoulSoksa
Bifuka Soksa
Fig. 8 Location map (left: Bifuka, Hokkaido; right: Soksa,
Korea)
Photo 1 Survey situation (left: Bifuka; right: Soksa)
0 100 200 300 400
150
100
50
0
y=0.29xy=0.23x+8.55
X0=138
Distance between emission and receiving sensors(mm)
Ultr
ason
ic s
prea
d tim
e(μ
sec) Vd=1/0.29=3.4km/sec
Vs=1/0.23=4.3km/secX0=138
t=24mm
River sluice (Bifuka)
y=0.43x
y=0.23x+31.4
X0=155
Vd=1/0.43=2.3km/secVs=1/0.23=4.3km/secX0=155
t=42mm
Control reservation (Soksa)
0 100 200 300 400
150
100
50
0
Excluded from analysis
Distance between emission and receiving sensors(mm)
Ultr
ason
ic s
prea
d tim
e(μ
sec)
Fig. 9 Results from the surface scanning method (top: Bifuka;
bottom: Soksa)
5.2 Results of measurement using the surface scanning
method
Figure 9 shows the results of measurement using the surface
scanning method at the control platform and on the control
reservation. Finding Vs and Vd from the slope of each line
and the distance from the origin to the inflection point (X0)
allowed the use of Eq. (1) to calculate the thickness of the
deteriorated area, which was found to be 24 mm on the
control platform and 42 mm on the control reservation
By replacing h with 10 mm in Eq. (4), the relative
dynamic modulus of elasticity at a depth of 10 mm was
calculated to be 74% on the control platform and 50% on the
control reservation. The modulus at the edge of the healthy
area was found to be 69% for the control panel as a result of
replacing h with 24 mm and 68% for the control reservation
by replacing it with 42 mm.
6. Conclusion
In this study, a simple frost damage diagnosis technique using
the theory of surface scanning was examined. The findings
can be summarized as follows:
(1) Surface scanning is effective as a nondestructive method
for estimating the thickness of the deteriorated area
affected by frost damage with a certain level of accuracy.
(2) The depth of the part where the relative dynamic modulus
of elasticity is lower than the value of the threshold (60%)
can be estimated from the slopes (between the origin and
inflection point and after the inflection point) of a graph
created using the results of surface scanning.
7. Afterword
In addition to developing the above simple frost deterioration
diagnosis approach involving the ultrasonic surface scanning
method, the authors intend to link it effectively with the
results obtained by the Material Research Team in the
previous year in order to perform future application of
ultrasonic measurement technology to the durability
evaluation of concrete affected by combined frost and salt
damage.
Specifically, the relationships with the ultrasonic
propagation velocity produced by using the ultrasonic
transmission method and the core strength8), coefficient of
chloride ion diffusion8) and crack density9) have been found
1.0 2.0 3.0 4.0 5.0
y=-0.0116x+0.0596(R2=0.4894)
0-28cycle (①:R2=0.6641)
50-100cycle100-200cycle
0
0.05
0.10
0.15
0.20
Cra
ck d
ensi
ty(N
umbe
r/m
m)
①
70
60
50
40
30
20
Sm
all-d
iam
eter
co
re c
om
pre
ssiv
e st
reng
th(M
Pa
)
2 3 4 5Ultrasonic propagation velocity(km/sec)
Laboratory acceleration testy=26.959x-37.56(R2=0.933)
1
80
Actual structurey=31.3x-75.21(R2=0.6482)
2 3 4 5
Laboratory acceleration testy=-4.5237x+27.259(R2=0.8366)
Actual structurey=-4.911x+22.846(R2=0.4159)
1
100
10
1
Coe
ffic
ien
t of
chlo
ride
ion
diff
usi
on(×
10-8
cm2 /
s)
Ultrasonic propagation velocity(km/sec)
Ultrasonic propagation velocity(km/sec)
Laboratory acceleration test
Actual structure
Fig. 10 Relationship of ultrasonic propagation velocity
found using the transmission method with core
compressive strength, coefficient of chloride ion
diffusion and crack density8), 9)
for specimens used in the laboratory freeze-thaw test in the
previous year and cores collected from actual sites as shown
in Fig. 10. We therefore plan to further examine their
relationship with ultrasonic waves using the surface scanning
method.
Finally, the authors aim to be able to ascertain the degree
of frost deterioration, strength, crack conditions and other
related information easily using the nondestructive ultrasonic
surface scanning method, as well as to use the technique for
prediction of salt penetration in freeze-thaw and high-salinity
environments.
Acknowledgment: The survey in Bifuka, Hokkaido, was
supported by the Hokkaido Regional Development Bureau,
and that in Soksa, Korea, was supported by Research
Professor Dr. Ann of Yonsei University and the Korea
Expressway Corporation. The survey in Korea was
conducted under Japan Science and Technology Agency
Financial Support (representative researcher: Professor Ph. D.
Tamon Ueda) and a priority project research of the Public
Works Research Institute financed by grants for expenses.
The authors would like to express their gratitude to all parties
concerned.
References
1) Chuji KASHIWA, Toyoki AKASHI and Yoshi
KOSAKA: Nondestructive Testing Methods for
Concrete – research papers, standards and literature in
Japan, Europe and the USA, p. 42, 1980.
2) Two-piece linear regression, Gunma University website
(http://aoki2.si.gunma-u.ac.jp/lecture/stats-by-excel/vba/
html/oresen-kaiki.html).
3) Nondestructive Testing for Concrete Structures, ed.,
Japanese Society for Nondestructive Inspection,
Yokendo, p. 130, 1994.
4) Hidehiko OGATA, Tsuguhiro NONAKA, Takao
FUJIWARA, Ryuichi TAKADA and Kunio HATTORI:
Frost Damage Diagnosis of Concrete Channel by
Ultrasonic Pulse Method, Proceedings of JCI
Symposium on Estimating Methods for Concrete
Performance to Freezing-Thawing Action, Japan
Concrete Institute, pp. 63 – 70, Dec. 2006.
5) Japan Society of Civil Engineers: 2007 Standard
Specifications for Concrete Structures [design], p. 123,
Mar. 2008.
6) Hirotake ENDOH, Fumio TAGUCHI, Hiroshi
HAYASHIDA and Shogo KUSAMA: Nondestructive
Diagnosis of Frost Depth, Report/symposium of the
Committee on Evaluation Methods for Freeze-Thaw
Resistance of Concrete, pp. 293 – 298, Aug. 2008.
7) Hiroshi HAYASHIDA, Fumio TAGUCHI, Hirotake
ENDOH and Shogo KUSAMA: Diagnosis of Frost
Damage in Concrete Structures by Measurement of
Ultrasonic Propagation Velocity, Proceedings of the 62nd
JSCE Annual Meeting, V-571, pp. 1141 – 1142, Sept.
2007.
8) FY 2008 Priority Project Report, Civil Engineering
Research Institute for Cold Region, 2009.
9) Fumio TAGUCHI, Hiroshi HAYASHIDA, Hirotake
ENDOH and Shogo KUSAMA: Evaluation of the
Relationship between the Ultrasonic Propagation
Velocity of Concrete Affected by Frost Damage and the
Number of Cracks, 63rd JSCE Annual Conference,
V-274, pp. 547 – 548, Sept. 2008.