Concrete Strength   

Acceptance Method Used in the Prototype PRS

Concrete strength is one of the four AQC’s included in the prototype PRS developed under the previous FHWA PRS study.(1,2,3)  The prototype required that flexural strength be measured directly from beam specimens or indirectly from cylinder strength tests and used for the acceptance of the as-constructed portland cement concrete (PCC) slab.  The prototype PRS recommended using core testing as an indirect measure of the in situ flexural strength.  With this method, cores are taken at some reference maturity equivalent (for example, 3 days at 22 °C).  To provide rapid feedback to the contractor, the 28-day flexural strength is then projected from the early age in situ strength data.  The inter-strength relationship between flexural and compressive strength would be established for the approved mix design (prior to construction) using project-approved aggregates, cement, and admixtures.  The previous PRS study concluded that there is no statistical difference between the compressive strength of cores and cylinders cured under identical curing conditions.(3)  The literature search focused on obtaining information related to these processes, as well as the typical standard deviations associated with the different strength sampling methods.

Variation of Concrete Compressive Strength

A discussion of the overall variation of in-place concrete core strengths in structures was included in a draft report prepared by the American Concrete Institute (ACI) Committee 214.(4)  This report referenced findings from a previous study which reported coefficients of variation (COV) for structures as a function of one or many members, and one or many batches of concrete.(5)  These findings are presented in table 1. Although these reported COV’s are specific to structures, the core COV expected in a PCC pavement is most likely close to the 13.0-percent value associated with many members and many cast-in-place batches.

Table 1.  Coefficient of variation due to in-place strength variation within the structure.(4)

Structure Composed of:

One Member

Many Members

One Batch of Concrete

7%

8%

Many Batches of Concrete

Cast-in-place

12%

13%

Precast

9%

10%


The ACI Committee 214 report also includes a section dealing with the conversion of core strengths to equivalent in-place strengths (again, focusing on structures).
(4)  The report presents an equation that is used to calculate the equivalent compressive strength (f’C (EQUIVALENT)) in terms of measured core compressive strength (fCORE) and four correction factors.  The correction factors account for the effects of core length-to-diameter ratio (Fl/d), core diameter (FDIAMETER), moisture condition of the core (FMOISTURE), and damage sustained during drilling (FDAMAGE).  The correcting equation is defined in equation 1.

f’C (EQUIVALENT)  =  Fl/d * FDIAMETER * FMOISTURE * FDAMAGE * fCORE            (1)

The report also contained a table of guidelines for estimating the specific correction factors required in the equation.  These values are shown in table 2.

Table 2.  Magnitude and precision of strength correction factors for converting core strengths into equivalent in-place strengths.(4)

Factor

Mean Value

COV, %

Fl/d: l/d ratio

soaked

1 – {0.117 – 4.3 * (10–4) * fcore}(2 – l/d)2

2.5 * (2 – l/d)2

air dried

1 – {0.144 – 4.3 * (10–4) * fcore}(2 – l/d)2

2.5 * (2 – l/d)2

Fdia: core diameter

50 mm

1.06

11.8

100 mm

1.00

0.0

150 mm

0.98

1.8

Fmc: core moisture content

soaked

1.09

2.5

air dried

0.96

2.5

Fd: damage due to drilling

1.06

2.5

Notes: 1 To obtain the equivalent in-place concrete strength, multiply the observed core strength by the appropriate factor(s) in accordance with equation 1.
2 fcore is expressed in terms of MPa.
3 Standard soaked and air dried conditions are specified in American Society for Testing and Materials (ASTM) C 42.

Core data for one pavement project in Indiana were presented in the 1996 Hughes report titled Variability in Highway Pavement Construction.(6)  This 28-day core compressive strength data consisted of 63 cores taken over a 6-week period.   A statistical analysis of the data resulted in a mean and standard deviation of 35.1 and 6.0 MPa, respectively. The COV was then calculated to be 17.0 percent for this project.

A 1995 Illinois Department of Transportation (IDOT) report presented structural and pavement strength data (contained in IDOT’s MISTIC database).(7)  Both structural and pavement data were included in the report because most of the mix designs were "indistinguishable."  Each calculated variability is specific to one mix design, one construction year, and in some cases, one producer.  Table 3 contains a summary of the reported concrete cylinder compressive strength variability data.

Table 3.  Concrete cylinder 28-day compressive strength variability data from the Illinois Department of Transportation MISTIC database.(7)

Mix Number

Class

Year

n

Mean, MPa

Std Dev, MPa

COV, %

1

pavement

1992

110

30.81

2.69

8.7

2

pavement

1992

38

28.31

3.87

13.7

3

pavement

1993

16

34.70

2.69

7.8

4

pavement

1992

82

33.47

5.51

16.5

5

pavement

1993 QA/QC

10

33.21

3.53

10.6

6

pavement

1993 Non-QA/QC

8

31.32

3.84

12.3

7

pavement

1992 Non-QA/QC

12

33.14

3.44

10.4

8

pavement

1991 Non-QA/QC

18

29.88

2.75

9.2

9

pavement

1993 QA/QC

31

35.23

6.27

17.6

10

pavement

1992

23

34.51

2.92

8.5

11

pavement

1993

15

35.11

1.69

4.8

12

pavement

1992 Non-QA/QC

28

35.88

5.58

15.5

13

structural

1992

29

33.07

4.63

14.0

14

structural

1993

23

35.20

4.01

11.4

15

structural

1992

94

32.76

4.61

14.0

16

structural

1993

30

33.27

5.73

17.2

17

structural

1992

110

30.81

2.69

8.7

18

structural

Unknown

40

35.80

6.34

17.7

19

structural

Unknown

11

34.58

9.16

23.9

20

structural

1993 QA/QC

34

29.61

4.72

16.0

Pavement Data Only Averages

32.96

3.73

11.3

Structural Data Only Averages

33.14

5.23

15.4

All Data (Pavement and Structural) Averages

33.03

4.33

12.9

QA/QC = Quality assurance/quality control.

An analysis of the compressive strength data in table 3 shows little difference between the averages of the pavement and structural 28-day cylinder compressive strength means (32.96 MPa for pavement and 33.14 MPa for structural concrete).  The data did show, however, that greater variation (a higher standard deviation) was typically associated with the structural data (average structural standard deviation of 5.23 MPa, compared to an average pavement standard deviation of 3.73 MPa).

A 1972 paper by Darter specifically discussed compressive strength variability.(8)  He presented results from a West Virginia study in which the variation from materials, sampling, and testing was investigated for seven different projects.  Table 4 contains highlighted data from the West Virginia study.

Table 4.  Components of 28-day compressive strength variability for seven West Virginia projects.(8)

Project Number

Mean

Overall

Testing

Sampling

Materials

Std Dev, MPa

COV, %

Std Dev, MPa

COV, %

Std Dev, MPa

COV, %

Std Dev, MPa

COV, %

Paving Concrete

1

32.23

3.76

11.7

2.60

8.1

0.63

0

2.73

8.3

2

25.89

2.90

11.2

2.22

8.5

0.29

0

1.86

7.1

3

25.65

3.96

15.5

2.19

8.5

3.41

13.3

4

32.82

3.22

9.8

1.38

4.2

0.23

0

2.90

8.8

5

32.32

5.05

16.5

4.03

12.5

3.76

11.7

Structural Concrete

1

29.20

3.00

10.0

1.17

4.0

1.63

5.6

2.14

7.2

2

30.47

3.32

10.9

2.23

7.3

0.27

0

2.48

8.1

Paving Data Only Averages

3.78

12.9

2.48

8.4

0.39

2.93

9.8

Structural Data Only Averages

3.16

10.5

1.70

5.7

0.95

2.8

2.31

7.7

All Data (Pavement and Structural) Averages

3.60

12.2

2.26

7.6

0.61

0.8

2.75

9.2


The data from these seven projects show an average overall project standard deviation of 3.60 MPa and a corresponding overall project average COV of 12.2 percent.  Darter noted that the sampling and testing error make up a significant portion of the overall variation, and the materials COV is about three-fourths of the overall COV.  Figure 1 illustrates the relationships among the materials, sampling, and testing standard deviations.  It is important to note that the standard deviations are not additive; therefore, the sum of the standard deviation shown does not equal the overall standard deviation of the concrete strength.
(9)

    Figure 1.  PCC relative standard deviation of components of variation for compressive strength.(9)

Similar data was presented in a 1973 report by Di Cocco.(10)  He analyzed 28-day cylinder compressive test data from nine projects (the data included concrete placed using three different mixer types—central mixer, paver, and truck mixer). The results showed an overall standard deviation of 4.98 MPa for the nine projects.

Darter also combined 28-day cylinder compressive strength data from 11 different sources—a total of 56 projects in all.  It is important to note that the data are comprised of test values in which one test represents the average of three replicate cylinder tests.  The data collected for these 56 projects are presented in table 5.  The data show an average overall project standard deviation of 3.72 MPa (averages of three cylinder tests) and an average overall project COV of 12.1 percent.

Table 5.  Summary of 28-day cylinder compressive strength statistics of various projects.(8)

Project Number

Class

No. of Tests

Mean, MPa

Std. Dev., MPa

COV, %

1

pavement

536

31.19

2.73

8.8

2

pavement

292

33.65

3.72

11.1

3

pavement

96

39.20

3.75

9.6

4

pavement

192

38.11

3.90

10.2

5

pavement

196

35.15

3.98

11.3

6

pavement

112

33.27

4.19

12.6

7

pavement

258

37.71

4.60

12.2

8

pavement

320

36.16

4.65

12.9

9

pavement

232

36.47

4.90

13.4

10

pavement

176

33.97

5.00

14.7

11

pavement

126

34.94

5.05

14.4

12

pavement

46

24.13

3.19

13.2

13

pavement

12

28.90

3.52

12.2

14

pavement

12

28.10

2.18

7.8

15

pavement

15

29.65

1.92

6.5

16

pavement

14

37.48

4.38

11.7

17

pavement

22

28.33

3.79

13.4

18

pavement

27

36.41

3.30

9.0

19

pavement

31

30.34

2.89

9.5

20

pavement

24

30.45

2.75

9.0

21

pavement

14

27.53

6.74

24.5

22

pavement

25

28.46

1.99

7.0

23

pavement

10

26.82

3.56

13.3

24

pavement

15

31.76

3.31

10.4

25

pavement

13

26.73

2.68

10.0

26

pavement

93

29.75

3.56

12.0

27

pavement

82

33.74

3.01

9.0

28

pavement

845

33.45

5.12

15.3

29

pavement

5318

31.35

4.36

13.9

30

pavement

8468

29.35

4.29

14.6

31

pavement

146

33.17

4.58

13.8

32

pavement

39

29.79

5.01

16.8

33

pavement

68

15.58

2.10

13.5

34

pavement

208

36.19

3.38

9.3

35

pavement

861

35.71

3.72

10.4

36

pavement

296

40.33

10.62

25.6

37

pavement

51

19.51

2.79

14.3

38

pavement

44

20.13

3.19

15.8

39

pavement

153

26.06

2.81

10.8

40

pavement

87

23.37

3.80

16.2

41

pavement

81

25.30

3.09

12.2

42

pavement

89

24.13

2.50

10.4

43

pavement

61

22.61

3.30

14.6

44

pavement

19

32.41

2.09

6.4

45

pavement

23

41.09

2.39

5.8

46

pavement

33

25.17

2.16

8.6

47

pavement

74

36.34

4.62

12.7

48

pavement

44

30.27

4.01

13.3

49

pavement

14

35.85

2.94

8.2

50

pavement

28

34.68

4.41

12.7

51

pavement

47

17.75

2.28

12.8

52

pavement

63

22.25

2.96

13.3

53

pavement

63

29.18

3.40

11.6

54

pavement

187

35.64

4.23

11.9

55

pavement

65

33.25

3.67

11.1

56

pavement

90

40.55

5.12

12.6

Average

30.87

3.72

12.1

Note: One test usually indicates the average of three replicate cylinders.

The standards for 28-day cylinder compressive test COV (recommended by the American Concrete Institute [ACI] in 1972) were also presented in the 1972 paper by Darter.(8)  These standards are summarized in table 6. A comparison of the summary results from the 56 projects (COV of 12.1 percent) shows that the average observed project quality falls in the "Good" range.  In the conclusions of his 1972 report, Darter recommends that a compressive strength COV of 15 percent be used for design.

Table 6.  ACI 1972 recommended standards for 28-day cylinder compressive test COV.(8)

 

Class of Operation

Coefficients of Variation for Different Control Standards

Excellent

Good

Fair

Poor

Overall variations:

General construction

Below 10.0

10.0 to 15.0

15.0 to 20.0

Above 20.0

Laboratory control

Below 5.0

5.0 to 7.0

7.0 to 10.0

Above 10.0

Within-test variations:

Field control

Below 4.0

4.0 to 5.0

5.0 to 6.0

Above 6.0

Laboratory control

Below 3.0

3.0 to 4.0

4.0 to 5.0

Above 5.0


Neaman and Laguros presented 28-day cylinder compressive strength results from a 12.9-km project in Oklahoma.
(11)  Two-hundred pairs of cylinders (400 total cylinders) were tested for the project, resulting in an overall 28-day cylinder compressive strength mean and standard deviation of 26.22 and 4.97 MPa, respectively.  A histogram of this strength data is presented in figure 2.

    Figure 2.  Histogram of 28-day cylinder compressive strength data for a project constructed in Oklahoma (200 pairs of 2 cylinders).(11)
1 psi = 6.9 kPa

In a 1992 report, Wood presented tables of data showing normalized compressive strength means and standard deviations for different ages.(12)  In addition to age, the report also looked at the influence of curing condition and type of cement.  Concrete compressive strength values at 1, 3, and 7 days were normalized by dividing by the corresponding 28-day compressive strength.  These results, for the four different curing conditions, are presented in tables 7 through 10.

Table 7.  Variation of normalized concrete compressive strength with age—moist curing—portland cements.(12)

Age at Test

Type of Cement

I

II

III

IV

No.

Mean, MPa

Std. Dev., MPa

No.

Mean, MPa

Std. Dev., MPa

No.

Mean, MPa

Std. Dev., MPa

No.

Mean, MPa

Std. Dev., MPa

Moist Curing

1 day

46

0.18

0.07

13

0.16

0.04

10

0.30

0.11

11

0.13

0.03

3 days

46

0.46

0.10

3

0.35

0.02

24

0.62

0.11

3

0.24

0.03

7 days

64

0.70

0.09

13

0.61

0.08

28

0.81

0.08

11

0.48

0.06

28 days

64

1.0

13

1.0

28

1.0

11

1.0

Note: Data from 152-mm modified cubes and 152- x 305-mm cylinders are included. 

Table 8.  Variation of normalized concrete compressive strength with age—moist curing—blended cements.(12)

Age at Test

Type of Cement

IS

IP

IA

No.

Mean, MPa

Std. Dev., MPa

No.

Mean, MPa

Std. Dev., MPa

No.

Mean, MPa

Std. Dev., MPa

Moist Curing

1 day

20

0.22

0.07

15

0.10

0.03

9

0.14

0.06

3 days

20

0.42

0.09

15

0.32

0.09

7 days

20

0.62

0.10

15

0.53

0.11

9

0.69

0.09

28 days

20

1.0

15

1.0

9

1.0

Note: Data from 152-mm modified cubes and 152- x 305-mm cylinders are included. 

Table 9.  Variation of normalized concrete compressive strength with age—air curing.(12)

Age at Test

Type of Cement

I

III

IS

IP

No.

Mean, MPa

Std. Dev., MPa

No.

Mean, MPa

Std. Dev., MPa

No.

Mean, MPa

Std. Dev., MPa

No.

Mean, MPa

Std. Dev., MPa

Air Curing

1 day

10

0.16

0.08

6

0.24

0.08

20

0.21

0.06

15

0.10

0.03

3 days

19

0.44

0.10

15

0.56

0.13

20

0.40

0.08

15

0.33

0.08

7 days

19

0.67

0.09

15

0.78

0.10

20

0.59

0.08

15

0.54

0.10

28 days

19

1.0

15

1.0

20

1.0

15

1.0

Note: Data from 152-mm modified cubes and 152- x 305-mm cylinders are included. 

Table 10.  Variation of normalized concrete compressive strength with age—outdoor exposure.(12)

Age at Test

Type of Cement

I

III

No.

Mean, MPa

Std. Dev., MPa

No.

Mean, MPa

Std. Dev., MPa

Outdoor Exposure

1 day

3 days

21

0.53

0.10

21

0.69

0.15

7 days

21

0.78

0.09

21

0.88

0.12

28 days

21

1.0

21

1.0

Note: Data from 152-mm modified cubes.

A large amount of cylinder compressive strength data was collected at a 1993 paving project in Colorado.(13)  The project consisted of 25.7 km of paving on I-70 near the town of Vona.  A mean and standard deviation of 37.02 and 3.14 MPa, respectively, were calculated for the 436 cylinders tested for 28-day compressive strength.  A histogram showing the testing results is presented in figure 3.

    Figure 3.  Histogram of 28-day cylinder compressive strength results—1993 project on I-70 near Vona, Colorado.(13)

An article published by the American Concrete Pavement Association (ACPA) in 1995 discussed the typical 28-day compressive strength standard deviation expected from ready-mix plants.(14)  It reported that historical records from past plant operations showed that this standard deviation could be expected to be less than 2.76 MPa for concrete coming from a well-controlled ready-mix operation.  In addition, it reported that ready-mix concrete historically has COV’s in the 7- to 13-percent range, whereas COV’s for central-mix concrete generally fall in the 5- to 12-percent range.

A 1990 report contained a reprint of an article by McMahon et al. that discussed the quality assurance (QA) of PCC pavement.(9)   The authors reported the following information related to concrete strength:

  • Strength is not always the most important characteristic of concrete quality, but it is the one that is most often measured.  It is assumed to be indicative of the water-cement ratio and, accordingly, an indicator of durability.  The magnitude of the variability in strength, is, therefore, an indicator of the magnitude of variability of the other characteristics.
  • Variability in concrete strengths can be attributed to two other types of variability: (1) Inherent variability in the materials and processes that results from chance causes, which cannot be controlled, and (2) variability from assignable causes that can be controlled.
  • The measurement of variability from chance or inherent causes is complicated by the inherent variability of each of the ingredients in the mix, which can interact with the processes of blending, mixing, and placing, and result in a much larger variability in the concrete itself.
  • The assignable causes of variability are more numerous and more difficult to isolate, but the production of quality concrete is dependent on the reduction of all variables.   However, the isolation and restriction of variables can be carried only as far as economic conditions warrant.  Under the present state of knowledge, the ultimate uniformity of concrete production cannot be precisely stated.  Extensive research will be necessary to isolate variables and to determine the extent to which variation can be reduced.

McMahon et al. present variability data from many different published sources in their article.  Table 11 summarizes their results.

Table 11.  Average deviation of 28-day concrete compressive strengths.(9)

Agency

Concrete Type

Data Source

Average Standard Deviation, MPa

Bureau of Public Roads

Paving

Research

4.03

Bureau of Public Roads

Paving

Historical

3.26

Bureau of Public Roads

Structural

Historical

3.97

Virginia Dept of Highways

Structural

Special

3.22

Virginia Dept of Highways

Paving

Cores

4.57

Ontario Dept of Highways

Paving

Routine

3.41

Note: The average standard deviation is for all data presented.

Results of an analysis of historical cylinder compressive strengths by the State Road Department of Florida were also presented in the article by McMahon et al.(9)  These results included data from two different concrete types (class A and class NS).  It was noted that "routine control is normally exercised over class A concrete, whereas class NS concrete is spot checked only occasionally."  Tables 12 and 13 contain the results from the Florida study (table 12 presents the results by project, and table 13 presents the results by concrete production source).

Table 12.  Historical concrete compressive strength data published by the State Road Department of Florida—project comparison.(9)

Project Number

Number of Samples

Mean, MPa

Overall Std. Dev., MPa

COV, %

Testing Error, MPa

28-day cylinders—class A concrete

1 1

536

31.19

2.73

8.8

1.21

2

292

33.65

3.72

11.1

1.43

3

96

39.20

3.75

9.6

1.28

4

192

38.11

3.90

10.2

1.07

5

196

35.15

3.98

11.3

0.332

6

112

33.27

4.19

12.6

1.35

7

258

37.71

4.60

12.2

1.03

8

320

36.16

4.65

12.9

1.09

9

232

36.47

4.90

13.4

1.32

10

176

33.97

5.00

14.7

1.45

11

126

34.94

5.05

14.4

1.12

Average 3

230

35.44

4.23

13.1

1.23

Range

224

5.93

1.32

5.1

0.41

28-day cylinders—NS concrete

1 1

50

27.72

2.741

9.9

115

2

340

24.51

3.79

15.5

93

3

240

27.62

4.00

14.5

134

4

200

23.95

4.17

17.4

122

5

240

26.07

4.62

17.7

96

6

196

28.90

5.03

17.4

160

7

148

29.05

5.05

17.4

92

8

94

29.23

5.34

18.3

87

9

108

25.21

5.34

21.2

116

10

182

25.33

5.35

21.1

113

11

156

28.34

5.35

18.9

70

12

224

28.81

5.69

19.8

127

13

138

27.17

6.09

22.4

161

Average 3

178

27.07

4.81

17.8

114

Range

246

5.27

2.30

7.9

91

Notes: 1 Values are not included in range calculations.
2 Statistical outlier—not included in calculation of range or average.
3 Averages are not weighted and include all values except the outlier.

 Table 13.  Historical concrete compressive strength data published by the State Road Department of Florida—production source comparison.(9)

Source

Concrete Class

Number of Samples

Mean Strength, MPa

Pooled Std. Dev., MPa

COV, %

1

A

480

33.09

4.09

12.4

NS

218

28.21

4.27

15.2

2

A

540

33.83

4.63

13.7

NS

360

29.03

4.55

15.7

3

A

440

34.85

4.03

11.6

NS

308

27.79

4.03

14.5


A 1966 paper by Steele et al. presented a summary of data collected for two projects in West Virginia.
(15)  A summary of the 28-day cylinder compressive strength results (reported for both projects) is presented in table 14.  The authors of this report point out that although a typical project standard deviation could be estimated to be around 3.17 MPa, it could range from 2.41 to 4.48 MPa. A calculated standard deviation for one lot may even be higher.

Table 14.  Strength parameters for Class A structural concrete—two projects in West Virginia.(15)

 

Project

Number of Tests

Avg 28-day Compressive Strength, MPa

Standard Deviation Individuals, MPa

West Virginia—Project A

190

29.20

3.00

West Virginia—Project B

200

30.47

3.32

Average

29.84

3.17


A literature review conducted by ERES Consultants, Inc. for a report titled Measurement and Specification of Construction Quality included six different figures showing normal distributions of different types of PCC strength data.
(16)   These are presented in figures 4 through 9.

    Figure 4.  Histogram of 28-day concrete compressive strength.(16)
1 psi = 6.9 kPa

    Figure 5.  Distribution of PCC compressive strength. (16)
1 psi = 6.9 kPa

    Figure 6.  Histogram of 28-day cylinder concrete compressive strength.(16)
1 psi = 6.9 kPa

    Figure 7.  Histogram of 7-day cylinder concrete compressive strength.(16)
1 psi = 6.9 kPa

    Figure 8.  Histogram of concrete flexural strength.(16)
1 psi = 6.9 kPa

    Figure 9.  Histogram of concrete flexural strength.(16)
1 psi = 6.9 kPa

Actual concrete strength compressive strength data were also collected for the Federal Highway Administration (FHWA)-sponsored project "Measurement and Specification of Construction Quality."(17)   Both 28-day cylinder and core data were collected for three projects (one each for Illinois, Minnesota, and Ohio) constructed during the 1995 construction season.  The results of the statistical analysis for both data sets are presented in table 15.

Table 15.  1995 28-day cylinder and core compressive strength data.(17)

Project Location

Sample Type

No. of Samples

Mean, MPa

Std Dev, MPa

COV, %

Rochelle, IL

Cylinder

106

37.40

5.16

13.8

Core

30

40.12

3.76

9.4

Mankato, MN

Cylinder

56

36.62

3.36

9.2

Core

30

41.26

7.38

17.9

Bellefontaine, OH

Cylinder

100

29.53

2.43

8.2

Core

31

41.45

5.32

12.8

Cylinder Data Only—Averages

3.65

10.4

Core Data Only—Averages

5.49

13.4


In 1996, Hughes compiled a table of typical 28-day PCC cylinder statistics in a report titled Variability in Highway Pavement Construction.(6)  This table included data from two published State Highway Agency (SHA) reports (from Arizona and Pennsylvania), as well as data from databases and variability studies provided with a completed questionnaire.  These data are presented in table 16. Hughes also reported that the New Jersey DOT’s typical standard deviation associated with a lot is approximately 2.07 MPa.

Table 16.  Typical standard deviations for 28-day PCC cylinder strengths.(6)

Source

Year

Class

Mean, MPa

Std Dev, MPa

COV, %

Georgia

1993

Paving

32.89

3.35

10.2

New York

1993

Gen Structural

30.43

5.21

17.3

New York

1993

Thin Structural

33.27

5.36

16.3

New York

1993

Pumping

34.74

5.39

15.8

Maine

1992

Gen Structural

35.66

4.05

11.4

Maine

1991

Gen Structural

34.12

4.55

13.3

Virginia

1988

Gen Structural

33.40

4.55

13.6

Virginia

1988

High Strength

39.76

4.37

11.2

Arizona

1974

Paving

30.16

4.15

13.8

Pennsylvania

1972

Gen Structural

32.06

4.83

15.1

Note: Standard deviation based on single 28-day cylinders.

Variation of Concrete Flexural Strength

Flexural strength data from the Illinois Department of Transportation MISTIC database were summarized and presented in a 1995 report.(7)  The results are shown in table 17.  An analysis of the data shows a typical average beam flexural strength standard deviation of 0.44 MPa and an average COV of 8.1 percent.

Table 17.  Concrete beam 28-day flexural strength variability data from the Illinois Department of Transportation MISTIC Database.(7)

Mix Number

Class

Year

n

Mean, MPa

Std Dev, MPa

COV, %

1

Structural

Unknown

18

5.63

0.60

10.7

2

Structural

Unknown

129

5.41

0.34

6.4

3

Structural

Unknown

13

5.35

0.39

7.3

Structural Data Averages

5.46

0.44

8.1


Flexural stength variability data were also presented by Darter in a 1972 report.(8)  This consisted of data from five Texas Highway Department projects, as well as some data from the original American Association of State Highway Officials (AASHO) Road Test.  This information is summarized in table 18.

Table 18.  Concrete beam 28-day flexural strength variability data from the Texas Highway Department and the AASHO Road Test.(8)

Project Number

Number of Tests

Mean, MPa

Std Dev, MPa

COV, %

Texas Highway Department Data

1

135

4.78

0.57

11.8

2

305

4.56

0.39

8.4

3

474

3.38

0.46

13.7

4

258

2.82

0.14

4.9

5

270

4.67

0.45

9.6

AASHO Road Test Data

1

11

4.55

0.35

7.7

2

11

4.90

0.37

7.5

Texas Data Only—Averages

4.04

0.40

9.7

AASHO Data Only—Averages

4.72

0.36

7.6

All Project Data—Averages

4.23

0.39

9.1


An analysis of the flexural strength data in table 18 shows a typical average beam flexural strength standard deviation of 0.39 MPa and an average COV of 9.1 percent.  Darter does point out that the AASHO data show less variability than the Texas data (probably due to the stringent quality control procedures at the Road Test).  In this report, Darter recommends that a flexural strength COV of 15 percent be used for design.(8)

In a 1996 report, Hughes presented typical flexural strength data collected from four different State studies.(6)  It is interesting to note that one of these States (Indiana) presented contractor quality control data and State DOT acceptance data for the same project.  The collected data are presented in table 19.

Table 19.  Typical flexural strength data for different State studies.(6)

Data Source

Test Type

Mean, MPa

Std. Dev., MPa

COV, %

Midwestern State #1

mid-point loading

5.63

0.72

12.7

Midwestern State #2

third-point loading

4.69

0.48

10.4

Pennsylvania

not reported

5.45

0.69

12.7

Indiana—Contractor Quality Control Tests

not reported

4.52*

0.23*

5.0

Indiana—State Acceptance Tests

not reported

4.52*

0.26*

5.8

* Each "sample value" included in the statistical analysis represents the average of two beam breaks.

A report by Greer contained information regarding the within- and between-batch flexural strength variations in the laboratory and the field.(18)  The study analyzed published data from more than 200 mixes (more than 765,000 m3 of concrete) placed at the Atlanta International Airport.  In the laboratory, the within-test standard deviation represents the amount of variation among flexural strength tests from the same batch of concrete and is an indicator of the quality of the procedures performed by the laboratory personnel.  The laboratory between-batch variation, however, "indicates the amount of variation between different batches of the same concrete materials."  In the field, the within-test standard deviation is an indicator of the quality of the testing procedures performed by the field testing personnel.  The field between-batch variability indicates the quality of the production and control procedures used by the contractor and supplier.  The results of the Greer study are presented in table 20.

Table 20.  Measured flexural strength variations at the Atlanta International Airport.(18)

Variation Type

Std Dev Range, MPa

Average Std. Dev., MPa

28-day laboratory within-test

Not available

0.23

28-day laboratory between-batch

Not available

0.19

28-day field within-test

0.22 – 0.28

0.24

28-day field between-batch

0.18 – 0.36

0.24

3-day field within-test

0.17 – 0.23

0.20

7-day field between-batch

0.17 – 0.33

0.29


Greer noted that both the laboratory within-test and between-batch standard deviations for both sources are independent of the measured flexural strength.(18)  Therefore, it can be concluded that the standard deviation is more appropriate than the COV when evaluating flexural strength tests.  Table 21 contains proposed guidelines for assessing the level of quality associated with flexural strength testing data.(18)

Table 21.  Proposed guidelines for assessing the level of quality associated with flexural strength testing data.(18)

Within-Test Standard Deviation (Testing Agency)

Overall Standard Deviation (Contractor)

Level of Quality (Quality Control)

< 0.28 MPa

< 0.28 MPa

Excellent to Good

0.28 – 0.45 MPa

0.28 – 0.45 MPa

Good to Fair

> 0.45 MPa

> 0.45 MPa

Fair to Poor


A large amount of data was collected at a 1993 Colorado paving project.  The project consisted of 25.7 km of paving on I-70 near the town of Vona.  Flexural strength was measured from third-point load testing (modulus of rupture) of 11 sets of 2 beams each.  A mean and standard deviation of 4.69 and 0.44 MPa, respectively, were observed from the testing.(13)

An article published by ACPA in 1995 discussed the typical 28-day third-point flexural strength standard deviation expected from ready-mix plants.(14)  It reported that historical records from past plant operations showed that this standard deviation could be expected to be less than 0.48 MPa for concrete coming from a well-controlled ready-mix operation.

Variation of Concrete Split Tensile Strength

Split tensile strength data were also collected at the 1993 Colorado paving project.(13)  Split tensile strength tests were conducted on 39 sets of 2 cylinders each, resulting in an overall mean and standard deviation of 3.10 and 0.26 MPa, respectively.

Within-Test and Between-Batch Variability

A report by Gray reported on a study that investigated both the between- and within-laboratory variability.(19)  The study looked at testing results obtained in interlaboratory or comparative testing programs that were operated in the three largest metropolitan areas of British Columbia and Alberta, Canada.  The study separately analyzed laboratories that were and were not certified by the Canadian Standards Association (CSA).  Figure 10 shows linear trends of within-laboratory variability versus average compressive strength for all programs.  Figure 11 shows linear trends of average within-laboratory and between-laboratory variability versus average compressive strength.   Figure 12 shows linear trends of between-laboratory variability versus average compressive strength for all programs. The following two conclusions were drawn from the study’s results:(19)

  1. The within-laboratory precision of the standard test method for determining the compressive strength of cylindrical portland cement concrete test specimens varies linearly with the compressive strength of the test concrete.  As measured by the 95-percent repeatability limit (within a laboratory), this variability approaches 10 percent of the compressive strength.  This implies that on the basis of test error alone, the difference in absolute value of two test results obtained in the same laboratory on the same material can be expected to exceed approximately 10 percent of the average compressive strength of the test concrete about 5 percent of the time, and there is reason to question one or both of the test results only if such a difference is found to be larger than this value.
  1. The between-laboratory precision of the standard test method also varies linearly with the compressive strength of the test concrete.  As expressed by the 95-percent reproducibility limit (between laboratories), this variability approaches 15 percent of the compressive strength.  This implies that on the basis of test error alone (including both the within and between-laboratory components), the difference in absolute value of two test results obtained in different laboratories on the same material can be expected to exceed approximately 15 percent of the average compressive strength of the test concrete about 5 percent of the time, and there is reason to question one or both of the test results only if such a difference is found to be larger than this value.
    Figure 10.  Repeatability (within a laboratory) standard deviation versus average compressive strength for all programs.(19)

 

    Figure 11.  Average repeatability (within a laboratory) and reproducibility (between laboratories) standard deviations versus average compressive strength.(19)

 

    Figure 12.  Reproducibility (between laboratories) standard deviation versus average compressive strength for all programs.(19)

ACI 214-89 "Recommended Practice for Evaluation of Strength Test Results of Concrete" was reviewed as part of a literature review conducted by ERES Consultants, Inc. for a report titled Measurement and Specification of Construction Quality.(16)  ACI Guidelines for determining the quality of a laboratory, based on observed within-test COV’s for compressive strength, are provided in table 22.

Table 22.  Compressive strength within-test COV guidelines.(16)

Within-Test COV*

Laboratory Control

Below 3.0

Excellent

3.0 to 4.0

Very Good

4.0 to 5.0

Good

5.0 to 6.0

Fair

Above 6.0

Poor

* Variation in compressive strength between replicate samples tested by the same operator.

Other information included in the literature review stated that typical COV values for 7-day flexural strength range from 2.8 to 17.6 percent, while COV’s for 28-day flexural strength range from 3.5 to 9.6 percent.(16)

Accelerated Testing Methods for Concrete Strength

Much can be learned about nondestructive testing (NDT) methods for concrete strength from the fast-track paving technology.  Fast-track techniques are generally used to move up the traffic open date of a newly constructed or repaired PCC pavement.  A number of different techniques have been developed to provide quick and reliable assessments of the concrete strength at early ages.  One reviewed ACPA report describes the current state of fast-track paving techniques, including six nondestructive strength assessment methods that have been used.(20)  A table outlining the six methods is presented as table 23.  Of these six techniques, the most commonly used are the maturity and pulse-velocity methods (both of which are described in more detail in the following sections).

Table 23.  Non-destructive test methods for concrete.(20)

Test Method

Standard

Basic Description

Testing Precision to Baseline Cylinder Strength2

Surface Hardness (Swiss Hammer) ASTM C 805 Rebound of hammer correlates to surface hardness & compressive strength

± 40 %

Penetration Resistance (Windsor Probe) ASTM C 803 Penetration depth of gun-fired probe correlates to surface hardness & compressive strength

± 20 %

Pullout1 ASTM C 900 Force to remove cast-in metal probe correlates to surface compressive strength

± 15 %

Break-off ASTM C 1150 Force necessary to break a circular core cast or cut partially into slab correlates to flexural strength

± 15 %

Maturity ASTM C 1074 Internal temperature of concrete relates directly to concrete strength

± 5 %

Pulse Velocity ASTM C 597 Velocity of sound wave from transducer to receiver through concrete relates to concrete strength

± 10 %

Notes: 1 Cap and pull-out (CAPO) variation of pull-out test not approved by ASTM.
2 These are estimates of precision based on cylinder strength tests made using recommended ASTM procedures. Inaccurate concrete strength characterization by destructive cylinder testing is a common problem.

Maturity Method

The following is an excerpt from the above-mentioned ACPA report that describes some of the maturity concepts.(20)

"Maturity testing provides strength evaluation through monitoring of internal concrete temperature in the field.  The basis of maturity is that each concrete mix has a unique strength-time relationship.  Therefore, a mix will have the same strength at a given maturity no matter what conditions (time or temperature) occur before measurement."

Two methods of maturity were introduced in the report—the Nurse-Saul method and the Arrhenius maturity equation.  In the United States, the Nurse-Saul method is the more commonly used of the two methods.  The Nurse-Saul method calculates maturity as a function of time and temperature using equation 2.

M(t)  =  S(TA – T0) Dt                 (2)

where

M(t)  =  Temperature-time factor, degree-days or degree-hours.

Dt  =  Time interval, days or hours.

TA   =  Average concrete temperature during time interval, °C.

T0   =  Datum temperature, °C (typically –10 °C).

No specific information on the Arrhenius maturity method was provided; however, the report did refer to ASTM C 1074 as a source for more information on the method.

Estimated strength gain versus maturity is mix-specific.   Therefore, laboratory testing is required to accurately assess the as-constructed slab strength.  The following excerpt from the ACPA report describes the details of the required laboratory and field maturity procedures.(20) 

"Laboratory testing requires preparation of trial batches using the actual field-mix materials. Technicians must monitor the batch temperature and break cylinders to develop a relationship between the strength criterion and the temperature-time factor. This relationship becomes the calibration curve for evaluating the field concrete strength.

Field maturity evaluation begins with the embedment of thermocouples of temperature probes in the concrete when practicable after finishing or curing. The probes must connect to either commercially available maturity meters or temperature recorders with an accuracy of 1 °C. Technicians take readings at regular intervals then estimate strength using the temperature-time relationship from the laboratory study."

Pulse-Velocity Method

The pulse-velocity method estimates concrete strength or stiffness by measuring the time required for an ultrasonic wave to pass through the concrete from one transducer to another.  This method is also mix-specific; therefore, laboratory testing is required to accurately assess the as-constructed slab strength.  The following excerpt from the ACPA report describes the details of the required laboratory and field pulse-velocity procedures.(20) 

"Pulse-velocity testing requires laboratory calibration to produce meaningful field information.  Pulse-velocity readings are sensitive to aggregate, water-cement-plus-pozzolan ratio, moisture content, and concrete consolidation.   Therefore, trial batches must contain the same mix materials at similar proportions as the project mix.  In the laboratory, technicians take pulse-velocity measurements through a representative number of cast specimens, test the specimens for strength, and plot the results against the pulse-velocity readings to create a calibration curve."

Finally, pulse-velocity measurements are taken in the field following the manufacturer’s recommendations for placement of the transducers.  Early-age concrete strengths are then estimated using the laboratory-developed calibration curves.

Compressive Versus Flexural Strength

Historically, flexural strength testing has been used for acceptance and design; however, today the trend is toward using compressive strength testing for not only quality control, but acceptance as well.

Advantages of Compressive Strength Over Flexural Strength for Acceptance

The following list of the advantages of using compression test cylinders, as opposed to flexural test beams, was compiled by Kosmatka:(21)

  • Cylinders are easier to make, handle, transport, and test.
  • Construction and inspection personnel are better acquainted with proper casting and testing procedures for cylinders.
  • Cylinders are less sensitive to variations in testing procedures.
  • Compression tests have a lower coefficient of variation.  For example, tests using concretes made with 56 aggregate combinations and 2 different cement contents had an average batch-to-batch COV of 5.73 percent for flexural tests and 3.25 percent for compression tests.
  • Some of the most commonly used specifications and guidelines refer to concrete acceptance criteria based on compressive strength.
  • Statistical data for ready-mix concrete design are usually available for compressive strength, but not necessarily for flexural strength.
  • Durability criteria for mix design is usually based on compressive strength.
  • Investigations on low in-place concrete strengths are much easier to perform using drilled cores than sawed beams.

Strength Type Conversion Equations

In the current PRS approach, flexural strength is used in the distress indicator models that are dependent on strength.  As many SHA’s move toward strength acceptance based on compressive or tensile strength testing, it is becoming more important to understand the relationships between different strength types.

Many different strength-type relationships were discussed in Darter’s 1972 report.(8)  A relationship between modulus of elasticity and compressive strength is presented as equation 3.  (Note: Equation 3 was developed in English units.)

Ec  =  33 w1.5 (f’c)0.5             (3)

where

Ec   =  Static modulus of elasticity of concrete, psi.

w  =  Air dry weight of concrete at time of test, pcf.

f’c   =  Compressive strength of concrete at time of test, psi.

Flexural strength is commonly estimated using an equation of the form shown in equation 4.

S  =  K (f’c)0.5                 (4)

where

S  =  Flexural strength (modulus of rupture), MPa.

K  =  Constant usually between 0.6 and 0.8 MPa.

f’c   =  Compressive strength of concrete at time of test, MPa.

As stated, values for K typically range from 0.6 to 0.8 MPa, but can be as low as 0.5 or as high as 0.9 for normal strength concrete.  Because of the possible wide range of values for K, estimated correlations are not advised for the design of large projects.  However, once established, the correlation for a particular mix can be quite stable.(21) 

Kosmatka presented an example of a flexural strength versus compressive strength relationship compiled by Walker, Stanton, and Bloem in 1956.(21)   This relationship is presented in figure 13.  This chart (compiled from data for various aggregate combinations) demonstrates the range associated with making correlations from compressive to flexural strength.  (Note: Figure 13 is presented in both English and metric units.)

    Figure 13.  Relationship between flexural and compressive strength for various aggregate combinations.(21)

Darter presented the results of a 1962 study conducted by the Bureau of Public Roads in which a relationship between flexural strength and modulus of elasticity was developed.(8)  This relationship is presented as equation 5.  (Note: Equation 5 was developed in English units.)

Ec   =  14.4 w1.5 S0.77                 (5)

where

Ec   =  Static modulus of elasticity of concrete, psi.

w  =  Air dry weight of concrete at time of test, pcf.

S  =  Flexural strength (modulus of rupture), psi.

The same Bureau of Public Roads report also produced a relationship between indirect splitting tensile strength and compressive strength.  This relationship is presented as equation 6.  (Note: Equation 6 was developed in English units.)

T  =  1.37 (f’c)0.69                 (6)

where

T  =  Indirect tensile strength, psi.

f’c   =  Compressive strength of concrete at time of test, psi.

A 1995 research work plan from Virginia was to focus on determining relationships between compressive strength, tensile strength, flexural strength, and wave propagation.(22)  The developed relationships were then to be verified by field testing on construction projects using the same concrete mixtures evaluated in the laboratory.  This study was being conducted with the ultimate goal of collecting enough data to develop a performance-related specification for Virginia.