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Publication Number: FHWARD07052 Date: September 2007 
This appendix contains the algorithms used to determine the resilient modulus, creep compliance and indirect tensile strength for specimens tested using the P07 testing protocol. The algorithms presented herein are based upon the data format, data sampling rates and file structures used for LTPP P07 testing purposes. If formats, sampling rates or file structures used are different than outlined herein, the algorithms should be modified appropriately.
These algorithms are based upon the methods developed by Dr. Reynaldo Roque et al. and documented in the report referenced in Section 4.4 of this protocol. Dr. Roque and his colleagues developed two programs: MRFHWA to reduce and analyze resilient modulus data, and ITLTFHWA to reduce and analyze creep compliance and indirect tensile strength data. The user's guide for the software is available as a separate document. The data analysis methods used in MRFHWA and ITLTFHWA are documented in this appendix.
This appendix is divided into four sections as follows:
B1. Introduction
B2. Resilient Modulus Data Analysis Algorithm
B3. Creep Compliance Data Analysis Algorithm
B4. Indirect Tensile Strength Analysis Algorithm
An outline of the resilient modulus data analysis algorithm that is used in the "MRFHWA" software, and described in the report by Roque et al. is presented in section B2.2. The algorithm is described graphically in section B2.3.
B2.1 Subscript Convention
For the purpose of clarity, a subscript convention has been developed. The subscript 'i' represents the specimen number (i = 1, 2, or 3), the subscript 'j' represents the cycle number (j = 1, 2, or 3), and the subscript 'k' represents the specimen face (k = 1 or 2). Thus a variable may have up to three subscripts of the following form: X_{i,j,k}.
B2.2 Analysis
A separate analysis must be performed for each of the three temperatures.
B2.2.1 Select Cycles
For each of the three specimens, determine which three cycles of the five recorded in the data file shall be used for analysis. Find the maximum load (Pmax) of the first recorded cycle in the data file. If the maximum occurs at or after 150 points from the start of the file, then the first three cycles recorded in the data file shall be used for subsequent analysis. If the maximum occurs less than 150 points from the start of the file, then the second, third and fourth cycles recorded in the test shall be used. From now on, regardless of which cycles have been selected for analysis, they shall be referred to as cycles 1, 2 and 3, respectively.
B2.2.2 Calculate Contact Load (Pcontact_{i})
For each of the three specimens calculate the contact load. Only one contact load shall be calculated for each specimen as follows:
(1) Determine the point at which the maximum load (Pmax) occurs for cycle 1.
(2) Select the range of cells from 80 points before Pmax to 30 points before Pmax (50 points total)
(3) Average the load values in the selected range as follows:
Eq. B1:
where: Pcontact_{i} = the contact load for specimen i, lbs.
P_{y} = the load at point y, lbs.
x = the point at which Pmax_{i,1} occurs
B2.2.3 Determine Cycle Start and End Points
For each cycle j on each specimen i, determine the start and end points as follows. Determine Pmax for cycle j
(1) Starting at Pmax, and moving to the left, the start of cycle j is defined as the last data point for which the load is greater than Pcontact_{i} + 6 lbs (2.7 kg). This value shall be referred to as sp_{i,j.}
(2) Starting at Pmax and moving to the right, the end point for cycle j is defined as the last data point for which the load is less than Pcontact_{i} + 6 lbs (2.7 kg). This value shall be referred to as ep_{i,j.}
B2.2.4 Determine the Cyclic Load
For each cycle j on each specimen i, determine the cyclic load (Pcyclic_{i,j}) as follows:
Eq. B2: Pcyclic_{i, j} = Pmax_{i, j} Pcontact_{i}
where: Pcyclic_{i,j} = the cyclic load for cycle j of specimen i, lbs.
Pmax_{i,j} = the maximum load for cycle j of specimen i, lbs. Pcontact_{i} = the contact load of specimen i, lbs
B2.2.5 Calculate the maximum deformations:
On each of the two sawn faces of the sample, deformations are measured in the horizontal and vertical axes. Thus for each sample there will be a total of four deformation vs. time traces. From each of these traces, pick off the maximum deformation for each of the three cycles, within the cycle start and end points defined in section B2.2.3. These deformations will be referred to in the following format:
{H,V}max_{i,j,k}, inches
where {H,V} refers to the axis in which the deformation was measured (horizontal or vertical) and subscripts i, j and k refer to the specimen, cycle and face, as defined in section B2.1.
B2.2.6 Determine minimum deformations:
For {H,V}max_{i,j,k} calculated in section 4.2.5 there will be two corresponding minimum deformations: Total and Instantaneous, as shown in Figure 3 of the main body of this procedure. To calculate these minimum deformations two regression lines must be developed. These minimum deformations shall be referred to in the following format:
{H,V}min{I,T}_{i,j,k}, inches
where {H,V} refers to the axis in which the deformation was measured (horizontal or vertical), {I,T} refers to the type of deformation (instantaneous or total) and subscripts i, j and k refer to the specimen, cycle and face, as defined in section B2.1.
To calculate {H,V}min{I,T}_{i,j,k}, two regression lines must be developed from the deformation vs. time trace.
B2.2.6.1 Regression Line 1
(1) Starting at {H,V}max_{i,j,k} and moving to the right, select the 5^{th} through 17^{th} data points (13 data points total).
(2) Perform a least squares linear regression on deformation vs. time for the selected data points. The resulting equation shall be as follows:
Eq. B3
Where: m_{1} = the slope of regression line 1, and
b_{1} = the Yintercept of regression line 1
B2.2.6.2 Regression Line 2
(1) Starting at the start point of cycle j+1 and moving to the left, select first 300 data points (300 data points total).
(2) Perform a least squares linear regression on deformation versus time for the selected data points. The resulting equation shall be as follows:
Eq. B4
Where: m_{2} = the slope of regression line 2, and
_{2} = the Yintercept of regression line 2
B2.2.6.3 Calculate {H,V}minI _{i,j,k}
{H,V}minI_{i,j,k} is the deformation at the intersection of regression lines 1 and 2.
Eq. B5
B2.2.6.4 Calculate {H,V}minT_{i,j,k } {H,V}minT_{i,j,k} is the deformation calculated from regression line 1 and the first point of cycle j+1
Eq.B6
B2.2.7 Calculate the total and instantaneous recoverable deformations
The total and instantaneous recoverable deformations shall be referred to as D{H,V}T_{i,j,k} and D{H,V}I_{i,j,k} respectively.
Eq. B7
B2.2.8 Calculate average thickness and diameter
Eq. B8
Eq. B9
Where: tavg = the average thickness for all the specimens, inches
t_{i} = the thickness of specimen i, in
davg = the average thickness for all the specimens, inches
d_{i} = the diameter of specimen i, in
vB2.2.9 Calculate the average cyclic load
Eq. B10
Where: Pavg_{j} = the average cyclic load for cycle j, lbs.
Pcyclic_{i,j} = the cyclic load for cycle j of specimen i, lbs.
B2.2.10 Calculate the deformation normalization factors
Eq. B11
Where: Cnorm_{i,j} = the deformation correction factor for cycle j of specimen i,
t_{i} = the thickness of specimen i, in.
tavg = the average thickness of the specimens, in.
d_{i} = the diameter of specimen i, in.
davg = the average diameter of the specimens, in.
Pcyclic_{i,j} = the cyclic load for cycle j of specimen i, lb.
Pavg_{j} = the average cyclic load for cycle j lb.
B2.2.11 Calculate the normalized deformations
Eq. B12
Where: D{H,V}{I,T}n_{i,j,k} = the normalized deformation for face k and cycle j of specimen i, in.
Cnorm_{i,j} = the deformation correction factor for cycle j of specimen i,
D{H,V}{I,T}_{i,j,k} = the deformation for face k and cycle j of specimen i, in.
B2.2.12 Average deformation data sets
There are 12 deformation data sets. A deformation data set consists of all the recoverable deformations calculated for a given axis {H,V}, measurement point {I,T} and cycle j. Average the deformation data sets by one of the following methods:
B2.2.12.1 Method 1: Normal Analysis
For each deformation data set, remove the highest and lowest deformation and average the remaining four. This average shall be referred to as D{H,V}{I,T}navg_{j}
B2.2.12.2 Method 2: Variation of Normal Analysis
For each deformation data set, remove the tow highest and the two lowest deformations and average the remaining two. This average shall be referred to as D{H,V}{I,T}navg_{j}
B2.2.12.3 Method 3: Individual Analysis
For each deformation data set, remove any deformations and average the remaining deformations. This average shall be referred to as D{H,V}{I,T}navg_{j}
B2.2.13 Calculate Poisson's ratios
Eq. B13
B2.2.14 Calculate the cycle averaged deformations
Eq. B14
B2.2.15 Calculate the resilient modulus correction factors
Eq. B15
B2.2.16 Calculate resilient modulus
Eq. B16
B2.2.18 Repeat sections B2.2.1 through B2.2.17 for each temperature.
B2.3 Resilient Modulus Data Analysis Algorithm Flowchart
B2.3.1 Main Procedure
B2.3.2 Subroutine 1
B2.3.3 Subroutine 2
B2.3.4 Subroutine 3
An outline of the creep compliance data analysis algorithm that is used in the "ITLTFHWA" software, and described in the report by Roque et al. is presented in section B3.2. The algorithm is described graphically in section B3.3.
B3.1 Subscript Convention
For the purpose of clarity, a subscript convention has been developed. The subscript 'i' represents the specimen number (i = 1, 2, or 3), the subscript 'j' represents the creep time (j = 1, 2, 5, 10, 20, 50, or 100), and the subscript 'k' represents the specimen face (k = 1 or 2). Thus a variable may have up to three subscripts of the following form: X_{i,j,k}.
B3.2 Analysis
A separate analysis must be performed for each of the three temperatures at which creep compliance data is collected.
B3.2.1 Determine the creep test start point
The 10^{th} data point in the file is always assumed to be the starting point of the test. It is essential that when the test is performed that exactly 10 data points are collected prior to the initial application of the creep load otherwise this analysis algorithm will produce erroneous results. Since the data sampling rate should be constant at 10 Hz, the creep load should be applied exactly 1 second after the data acquisition is initiated.
B3.2.2 Determine initial extensometer readings
Determine the extensometer reading ({H,V}min_{i,k}) at the starting point of the creep test for each specimen i and face k. The starting point was defined in Section B3.2.1.
B3.2.3 Determine the extensometer reading for each creep time j
The Table B2 indicates the data point that corresponds to a certain creep time j for each face k of each specimen i.
Extensometer reading at time j  Data Point 

{H,V}_{i,1,k}  20^{th} point in data file 
{H,V}_{i,2,k}  30^{th} point in data file 
{H,V}_{i,5,k}  60^{th} point in data file 
{H,V}_{i,10,k}  110^{th} point in data file 
{H,V}_{i,20,k}  210^{th} point in data file 
{H,V}_{i,50,k}  Average 505^{th} point through 515^{th} point (11 points total) 
{H,V}_{i,100,k}  1010^{th} point in data file 
For a 100second creep test, the deformations at 50 seconds are used to calculate the Poisson's ratio for the experiment. To prevent a spike in the data from influencing the Poisson ratio value, the average of the 505^{th} point through the 515^{th} point (11 points total) is taken as the deformation at 50 seconds.
B3.2.4 Calculate deformations for each creep time j, face k, and orientation {H,V} of each specimen i.
Eq. B20
Where: D{H,V}_{i,j,k} = the deformation for creep time j of face k of each specimen i, in.
{H,V}_{i,j,k} = the extensometer reading for creep time i of face k of each specimen i, in.
{H,V}min_{i,k} = the extensometer reading at the start of the creep test for each face k of each specimen i, in.
B3.2.5 Determine the axial load (P_{i,j}) for each creep time j of each specimen i.
Axial load at time j  Data Point 

P_{i,1}  20^{th} point in data file 
P_{i,2}  30^{th} point in data file 
P_{i,5}  60^{th} point in data file 
P_{i,10}  110^{th} point in data file 
P_{i,20}  210^{th} point in data file 
P_{i,50}  510^{th} point in data file 
P_{i,100}  1010^{th} point in data file 
B3.2.6 Determine the average axial load (P_{i}) on specimen i
Eq. B21
where: P_{i} = the average axial load for specimen i, lbs.
P_{i,t} = the axial load for specimen i at time = t, lbs.
B3.2.7 Calculate the average specimen thickness (tavg), the average specimen diameter (davg), and the average axial load (Pavg).
Eq. B22
Where: tavg = the average specimen thickness, in.
davg = the average specimen diameter, in.
Pavg = the average axial load, lbs.
t_{i} = the thickness of specimen i, in.
d_{i} = the diameter of specimen i, in.
P_{i} = the axial load for specimen i, lbs.
B3.2.8 Calculate the deformation normalization factor (Cnorm_{i}) for each specimen i.
Eq. B23
Where: Cnorm_{i} = the deformation normalization factor for specimen i.
tavg = the average specimen thickness, inches.
davg = the average specimen diameter, inches.
Pavg = the average axial load, lbs.
t_{i} = the thickness of specimen i, inches.
d_{i} = the diameter of specimen i, inches.
P_{i} = the axial load for specimen i, lbs.
B3.2.9 Calculate the normalized deformations (D{H,V}norm_{i,j,k}) for time j and face k of each specimen i.
Eq. B24
Where: D{H,V}norm_{i,j,k} = the normalized deformations for time j and face k of specimen i, inches.
D{H,V}_{i,j,k} = the deformation for creep time j of face k of each specimen i, inches.
Cnorm_{i} = the deformation normalization factor for specimen i.
B3.2.10 Average deformation data sets
There are 14 "trim" data sets. A deformation data set consists of all the recoverable deformations calculated for a given orientation {H,V}, and time j. Average the deformation data sets by one of the following methods:
B3.2.10.1 Method 1: Normal Analysis
For each trim data set, remove the highest and lowest deformation and average the remaining four. This average shall be referred to as D{H,V}trimavg_{j} for time j.
B3.2.10.2 Method 2: Variation of Normal Analysis
For each trim data set, remove the two highest and the two lowest deformations and average the remaining two. This average shall be referred to as D{H,V}trimavg_{j} for time j.
B3.2.10.3 Method 3: Individual Analysis
For each trim data set, remove any deformations and average the remaining deformations. This average shall be referred to as D{H,V}trimavg_{j} for time j.
B3.2.11 Calculate the Poisson's Ratio at time = 50.
Eq. B25
Where: ? = the Poisson's Ratio
DHtrimavg_{50 }= the average horizontal trimmed deformation at time = 50, in.
DVtrimavg_{50 }= the average vertical trimmed deformation at time = 50, in.
tavg = the average specimen thickness, in.
davg = the average specimen diameter, in.
B3.2.12 Calculate the creep compliance correction factor (Ccmpl_{y}) for each time j.
Eq. B26
Where: Ccmpl_{j} = the creep compliance correction factor at time j.
DHtrimavg_{j }= the average horizontal trimmed deformation at time j, in.
DVtrimavg_{j} = the average vertical trimmed deformation at time j, in.
B3.2.13 Calculate the creep compliance for each time j.
Eq. B27
Where: D_{j} = the creep compliance at time j, 1/psi
DHtrimavg_{j }= the average horizontal trimmed deformation at time j, in.
davg = the average specimen diameter, in.
tavg = the average specimen thickness, in.
Ccmpl_{j} = the creep compliance correction factor at time j.
Pavg = the average axial load, lbs.
GL = the extensometer gauge length (1 inch [25 mm] for a nominal 4inch [102mm] specimen diameter, 1.5 inches [38 mm] for a nominal 6inch [152mm] specimen diameter).
B3.3 Creep Compliance Data Analysis Flow Charts
B3.3.1 Main Procedure
B3.3.2 Subroutine 1
B3.3.3 Subroutine 2
An outline of the indirect tensile strength algorithm that is used in the "ITLTFHWA" software, and described in the report by Roque et al. is presented in section B4.2. The algorithm is described graphically in section B4.3.
B4.1 Subscript Convention
For the purpose of clarity, a subscript convention has been developed. The subscript 'i' represents the specimen number (i = 1, 2 or 3), the subscript 'j' represents the specimen face (j =1 or 2) and the subscript 't' represents the time at which a value was measured. Thus a variable may have up to three subscripts of the following form: X_{i,j,t}.
B4.2 Analysis
B.4.2.1 Invert Load Values
For each of the three specimens, multiply all load values by 1, so that compression values are positive.
B.4.2.2 Determine Cycle Start Time (ts_{i}):
For specimen i, determine the time at which the load cycle starts. The load cycle start time is defined as the first time t that satisfies the following two requirements:
1) The load must continuously increase over the three data points subsequent to ts_{i}, as shown below:
Eq. B28
2) The load must increase by at least 40 lbs (18 kg) over the three data points subsequent to ts_{i}, as shown below:
Eq. B29
B4.2.3 Zero the Time Values
For each specimen i, subtract ts_{i} from each time value, so that the load cycle starts at t = 0.
B4.2.4 Zero the Load Values
For each specimen i, subtract the initial load value, P_{i,0} from each load value, so that the load at the time the cycle starts is 0.
B4.2.5 Calculate the Deformation Zero Value ({H,V}s_{i,j})
For each specimen i, face j, and orientation {H,V}, the deformation zero value is equal to the average of the 10 deformation values prior to the load cycle start, as shown below:
Eq. B30
B4.2.6 Zero the Deformation Values
For each specimen i, face j, and orientation {H,V}, subtract {H,V}s_{i,j} from the respective deformation value.
B4.2.7 Determine the Failure Load (P_{i,tfi})
B4.2.7.1 Determine tf_{i,j}
For each specimen i, and face j, determine the time where V_{i,j,t } H_{i,j,t} is at a maximum (tf_{i,j}).
B4.2.7.2 Determine Time of Specimen Failure (tf_{i})
For each specimen i, the time of specimen failure (tf_{i}) is the minimum of tf_{i,1} and tf_{i,2}.
B4.2.7.3 Determine the Failure Load (P_{i,tfi})
For each specimen i, the failure load is the load P corresponding to time tf_{i}.
B4.2.9 Determine the Deformations at Half the Failure Load (?{H,V}_{i,j})
B4.2.9.1 Determine the Time of Half Failure Load (th_{i})
For each specimen i, th_{i} is the time that satisfies the following equation:
Eq. B31
B4.2.9.2 Determine Deformations at Time th_{i}
For each specimen i, face j and orientation {H,V}, select the deformations at time th_{i}. This value shall be referred to as ?{H,V}_{i,j}.
B4.2.10 Calculate the Average Specimen Thickness and Diameter
Calculate the average specimen thickness (Tavg) and diameter (Davg) as shown below:
Eq. B32
Eq. B33
B4.2.11 Calculate the Deformation Normalization Factors (Cnorm_{i})
For each specimen i, calculate the deformation normalization factors as shown below:
Eq. B34
B4.2.12 Calculate the Normalized Deformations (?{H,V}norm_{i,j})
Eq. B35
B4.2.13 Average deformation data sets
There are 2 "trim" data sets. A deformation data set consists of all the normalized deformations calculated for a given orientation {H,V}. Average the deformation data sets by one of the following methods:
B4.2.13.1 Method 1: Normal Analysis
For each trim data set, remove the highest and lowest deformation and average the remaining four. This average shall be referred to as D{H,V}trimavg.
B4.2.13.2 Method 2: Variation of Normal Analysis
For each trim data set, remove the two highest and the two lowest deformations and average the remaining two. This average shall be referred to as D{H,V}trimavg.
B4.2.13.3 Method 3: Individual Analysis
For each trim data set, remove any deformations and average the remaining deformations. This average shall be referred to as D{H,V}trimavg.
B4.2.14 Calculate Poisson's Ratio (?)
Eq. B36
B4.2.15 Calculate "Used" Poisson's Ratio (?_{used})
B4.2.15.1 Case 1: ? > 0.5
If the ? calculated in step B4.2.14 is greater than 0.5, then ?_{ used} = 0.5.
B4.2.15.2 Case 2: ? < 0.05
If the ? calculated in step B4.2.14 is less than 0.05, then ?_{ used} = 0.05.
B4.2.15.3 Case 3: 0.05 < ? < 0.5
If the ? calculated in step B4.2.14 is between 0.05 and 0.5, then ?_{ used} = ?.
B4.2.16 Calculate the Stress Correction Factors
For each specimen i, calculate the stress correction factors as follows:
Eq. B37
B4.2.17 Calculate the Indirect Tensile Strength
For each specimen i, calculate the indirect tensile strength as follows:
Eq. B38
B4.2.18 Calculate the Average Indirect Tensile Strength
Eq. B39
B4.3 Indirect Tensile Strength Analysis Flowcharts
B4.3.1 Main Procedure
B.4.3.2 Subroutine 1
LTPP LABORATORY MATERIAL HANDLING AND TESTING
LABORATORY MATERIAL TEST DATA
CREEP COMPLIANCE, RESILIENT MODULUS AND INDIRECT TENSILE STRENGTH
LAB DATA SHEET T07  SAMPLE SUMMARY INFORMATION
ASPHALT CONCRETE LAYER (ASPHALTIC CONCRETE PROPERTIES)
LTPP TEST DESIGNATION AC07/LTPP PROTOCOL P07
LABORATORY PERFORMING TEST:___________________________________________________________
LABORATORY IDENTIFICATION CODE: ___ ___ ___ ___
1. STATE CODE: ___ ___  2. SHRP ID: ___ ___ ___ ___ 
3. LAYER NO: ___  4. FIELD SET: ___ 
DATA ITEM  SPECIMEN 1  SPECIMEN 2  SPECIMEN 3 
5. TEST NO  ___  ___  ___ 
6. SAMPLE AREA (SA)  ___ ___  ___ ___  ___ ___ 
7. LOCATION NO  __ __ __ __ __ __  __ __ __ __ __ __  __ __ __ __ __ __ 
8. LTPP SAMPLE NO  __ __ __ __ __ __ __  __ __ __ __ __ __ __  __ __ __ __ __ __ __ 
9. AVG. THICKNESS (mm)  ___ ___ . ___  ___ ___ . ___  ___ ___ . ___ 
10. AVG. DIAMETER (mm)  ___ ___ ___ . ___  ___ ___ ___ . ___  ___ ___ ___ . ___ 
11. BULK SPECIFIC GRAVITY  ___ . ___ ___ ___  ___ . ___ ___ ___  ___ . ___ ___ ___ 
12. COMMENT 1  ___ ___  ___ ___  ___ ___ 
13. COMMENT 2  ___ ___  ___ ___  ___ ___ 
14. COMMENT 3  ___ ___  ___ ___  ___ ___ 
15. Other Comments 
1. STATE CODE: ___ ___  2. SHRP ID: ___ ___ ___ ___ 
3. LAYER NO: ___  4. FIELD SET: ___ 
DATA ITEM  SPECIMEN 1  SPECIMEN 2  SPECIMEN 3 
RESILIENT MODULUS TEST  
16. DATA FILENAME, TEST 1  _ _ _ _ _ _ _ _ . DAT  _ _ _ _ _ _ _ _ . DAT  _ _ _ _ _ _ _ _ . DAT 
17. TEST 1 TEMP. (°C)  ___ ___ . ___  ___ ___ . ___  ___ ___ . ___ 
18. DATA FILENAME, TEST 2  _ _ _ _ _ _ _ _ . DAT  _ _ _ _ _ _ _ _ . DAT  _ _ _ _ _ _ _ _ . DAT 
19. TEST 2 TEMP. (°C)  ___ ___ . ___  ___ ___ . ___  ___ ___ . ___ 
20. DATA FILENAME, TEST 3  _ _ _ _ _ _ _ _ . DAT  _ _ _ _ _ _ _ _ . DAT  _ _ _ _ _ _ _ _ . DAT 
21. TEST 3 TEMP. (°C)  ___ ___ . ___  ___ ___ . ___  ___ ___ . ___ 
22. ANALYSIS FILENAME  _ _ _ _ _ _ _ _ . MRO  
CREEP COMPLIANCE TEST  
23. DATA FILENAME, TEST 1  _ _ _ _ _ _ _ _ . DAT  _ _ _ _ _ _ _ _ . DAT  _ _ _ _ _ _ _ _ . DAT 
24. TEST 1 TEMP. (°C)  ___ ___ . ___  ___ ___ . ___  ___ ___ . ___ 
25. DATA FILENAME, TEST 2  _ _ _ _ _ _ _ _ . DAT  _ _ _ _ _ _ _ _ . DAT  _ _ _ _ _ _ _ _ . DAT 
26. TEST 2 TEMP. (°C)  ___ ___ . ___  ___ ___ . ___  ___ ___ . ___ 
27. DATA FILENAME, TEST 3  _ _ _ _ _ _ _ _ . DAT  _ _ _ _ _ _ _ _ . DAT  _ _ _ _ _ _ _ _ . DAT 
28. TEST 3 TEMP. (°C)  ___ ___ . ___  ___ ___ . ___  ___ ___ . ___ 
29. ANALYSIS FILENAME  _ _ _ _ _ _ _ _ . OUT  
INDIRECT TENSILE STRENGTH TEST  
30. DATA FILENAME  _ _ _ _ _ _ _ _ . DAT  _ _ _ _ _ _ _ _ . DAT  _ _ _ _ _ _ _ _ . DAT 
31. TEST TEMP. (°C)  ___ ___ . ___  ___ ___ . ___  ___ ___ . ___ 
32. ".OUT" FILENAME  _ _ _ _ _ _ _ _ . OUT  
33. ".STR" FILENAME  _ _ _ _ _ _ _ _ . STR  
34. ".FAM" FILENAME  _ _ _ _ _ _ _ _ . FAM 
GENERAL REMARKS:___________________________________________________________________________  
SUBMITTED BY, DATE  CHECKED AND APPROVED, DATE 
______________________________  ______________________________ 
LABORATORY CHIEF Affiliation______________________  Affiliation______________________ 
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Topics: research, infrastructure, pavements and materials Keywords: research, infrastructure, pavements and materials, Asphalt cement, asphalt concrete, field sampling, General Pavement Studies, laboratory testing, LTPP, material properties, pavement layering, Pavement Performance Data Base, portland cement concrete, protocol,Specific Pavement Studies, subbase, subgrade, treated base, unbound base TRT Terms: research, facilities, transportation, highway facilities, roads, parts of roads, pavements Updated: 03/08/2016
