Report Estimating Dry Density From Soil Stiffness ...€¦ · Report Estimating Dry Density ......
Transcript of Report Estimating Dry Density From Soil Stiffness ...€¦ · Report Estimating Dry Density ......
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Scott Fiedler, Product Manager Melvin Main, MarketingHumboldt Mfg. Co. Main Associates
7300 West Agatite Ave., Norridge, IL 60656, U.S.A. 16 Vegas Dr., Hanover, PA 17331, U,S,A.800-544-7220 extension 231 (Voice) 717-637-8246 (Voice & Fax)
708-456-0137 (Fax) [email protected] (Email)[email protected] (Email)
Report
Estimating Dry Density
From
Soil Stiffness & Moisture Content
29 June, 1999
Humboldt Mfg. Co.
7300 West Agatite
Norridge, IL 60656-4704
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PPPPrrrroooobbbblllleeeemmmmIf any new method of evaluating soil compaction is to be widely accepted, a firmrelationship must be established between this method and the most accepted currentmethods, measurements of dry density.
OOOObbbbjjjjeeeeccccttttiiiivvvveeeeDevelop an analytical-empirical relationship between soil stiffness and density. Validatethe relationship with data from Humboldt GeoGauge™ measurements and acceptedmethods of measuring density.
AAAApppppppprrrrooooaaaacccchhhhBegan with the analytical-empirical relationship that was developed by BBNTechnologies of Cambridge, MA some 4 years ago from the work of Hryciw & Thomann1.
ρD =ρ0
1 + 1.2 [ - .3].5CK
.5
where
C =(C1 σ1
P)4a
(1-υ)
C1 = is a function of moisture and soil type
σ1 = is the overburden stress
P = is typically between 1/2 and 1/4a = is the foot radiusυ = is Poisson’s ratio
ρD = is the dry density
ρ0 = is the ideal, void free density
K = is stiffness
Define C for a geographical region or group of soil classes, independent of everything butmoisture. Do this based on companion stiffness, moisture content and densitymeasurements. Then use C, measured stiffness and measured moisture content toestimate dry density. Compare the estimates to density measurements made with anuclear gauge and sand cone.
1 Roman D. Hryciw & Thomas G. Thomann, “Stress-History-Based Model for Cohesionless Soils”,Journal of Geotechnical Engineering, Vol. 119, No, 7, July, 1993
1)
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RRRReeeessssuuuullllttttssss
Analytical-Empirical RelationshipEarly attempts at following this approach revealed two things.
• A more precise estimation was possible when moisture content was broken out ofthe constant C and
• More precision was possible when the values of C were calculated from a linearrelationship with stiffness and moisture content.
Solving equation 1) for C yields
If we let C = Cm, where m = (% moisture content by weight)/100), then C can berepresented as
This representation allows for moisture content to be included in each estimate of drydensity. It also allows the values of C determined from the companion measurements tobe fitted to a linear equation with our two independent variables, K and m.
wheren is the slopeandb is the intercept.
This linear relationship between C, K and m allows a more appropriate value of C to usedin the estimate of each dry density as opposed to selecting a limited number of Cs to usedover several moisture ranges. Breaking m out of C and using this linear relationshipprovided closer agreement between measured and estimated dry density in 23% of thecases compared to not doing either.
Numerous other modifications of equation 1) were numerically analyzed relative toactual companion measurement data. The analytical-empirical relationship representedby equations 3 and 4 fit the data the best. Figure 1 is a 3D surface plot of K, M and ρD asdescribed by this relationship. The relationship appears to be well behaved in the rangesof density, stiffness and moisture content that most applications will encounter.
Based on the usage of current methods for evaluating compaction and a consensus ofGeoGauge™ customers, the following criteria were established for the evaluation of theabove approach.
C = K{[(ρ0/ρD-1)/1.2] + 0.3}2
C = (K/m){[(ρ0/ρD-1)/1.2] + 0.3}2
C = n(K/m.25) + b
2)
3)
4)
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a) Estimates of dry density should be within 5% of the measured values about 70% ofthe time & within 10% > 90% of the time.
b) The span of measured & estimated densities should be almost the same.c) A one-to-one correspondence of measured to estimated densities should yield a
correlation coefficient of > .3 (typically > .5).
Validation of the RelationshipFive hundred and seventy seven (577) companion measurements were made inCalifornia, Ohio, Florida, Missouri, New York, North Carolina and Virginia by theFHWA, California Polytechnic Institute, the H. C. Nutting Co., the City of San Jose, theFDOT, the MODOT, the NYSDOT and the NCDOT. These measurements were madelargely independent of Humboldt. The data, the estimates of dry density and thecomparisons of the estimates to direct measurements are presented in Appendices 1through 9.
Each appendix contains the following information.• Multiple plots of raw data; density vs. stiffness vs. moisture content• Summaries of how well C was determined form a function of stiffness & moisture
segregated by groups of similarly performing soils• Plots of estimated vs. measured density in terms of percentage difference and one-
to-one correspondence• All the data used to determine C and numerical data for all density estimates,
segregated by data that was used to determine C and data that was not2
It was evident that several classes or groups of similarly performing soils wererepresented by the data from each source. In some cases, when C was plotted against afunction of K and m, the presence of more than one linear relationship was apparent. Inother cases, there was a clustering of values of C that were calculated from companionmeasurements. When one or both of these conditions coincided with test sites orlocations, the data was correspondingly segregated and analyzed independently. Thisgreatly improved the results of the analysis in meeting the criteria stated earlier. Sinceonly the California Polytechnic Institute provided soil classifications with its data, thevalidity of this operation will need to be confirmed with the sources of the data.
It is also evident that the relationship represented by equations 3 and 4 will not providesatisfactory estimates of density for every soil. Soils due to stabilization additives,construction methods, site conditions or just their nature are apparently atypical. Thedata from the FDOT is a good example. As can be seen from the raw data in Appendices5 and 6, that sandy, limestone stabilized soil are not typical of the soil behavior illustratedin the other appendices. For such soils, it was found that by using the relationshiprepresented by equations 1 and 4 satisfactory estimates of density were possible. Figure 2is a 3D surface plot of K, M and ρD as described by equations 1 and 4.
2 Due to the volume of data, this information is omitted from the pdf version of the report. A hard copy ofthis information is available upon request.
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Table 1 summaries the results presented in the appendices. The 3 evaluation criteriaapplied across the 10 data sources are met 96% of the time. Only criteria a) is missed inthe MODOT data.
CCCCoooonnnncccclllluuuussssiiiioooonnnnssssAn analytical-empirical relationship has been developed that allows the estimation of drydensity from soil stiffness and moisture content within tolerances that are typical in theuse current field measurements. The successful application of this relationship requiresthat it be adjusted for groups of similarly performing soils and atypical soils. Thisrelationship firmly connects soil stiffness, as measured by the Humboldt GeoGauge™,with dry density. This relationship in conjunction with companion measurements ofmoisture content and stiffness is a potential alternative method for determining drydensity.
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FFFFiiiigggguuuurrrreeee 1111::::SSSSuuuurrrrffffaaaacccceeee PPPPllllooootttt ooooffff KKKK,,,, MMMM aaaannnndddd ρDDDD
aaaassss DDDDeeeessssccccrrrriiiibbbbeeeedddd bbbbyyyy EEEEqqqquuuuaaaattttiiiioooonnnnssss 3333)))) &&&& 4444))))
ρD =ρ0
1 + 1.2 [ - .3]mCK
.5
C = n(K/m.25) + b
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FFFFiiiigggguuuurrrreeee 2222::::SSSSuuuurrrrffffaaaacccceeee PPPPllllooootttt ooooffff KKKK,,,, MMMM aaaannnndddd ρDDDD
aaaassss DDDDeeeessssccccrrrriiiibbbbeeeedddd bbbbyyyy EEEEqqqquuuuaaaattttiiiioooonnnnssss 1111)))) &&&& 4444))))
ρD =ρ0
1 + 1.2 [ - .3]CK
.5
C = n(K/m.25) + b
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TTTTaaaabbbblllleeee 1111:::: SSSSuuuummmmmmmmaaaarrrryyyy ooooffff RRRReeeessssuuuullllttttssss
∆%, ρD (GeoGauge) re ρD (Nuc)(percentage of estimates within 5, 10and 15 % of the direct measurements)
DataSource
Number ofCompanion
Measurements
RelationshipUsed
5% 10% 15%
Density SpanGeoGauge/Nuc
(pcf)
R2
(correlation coefficient)ρD (Nuc) vs.
ρD (GeoGauge)
Cal. Poly. 80 Eq. 3 & 4 82% 100% - 32/35 0.83H.C.Nutting
66 Eq. 3 & 4 95% 5% - 34/33 0.86
San Jose 120 Eq. 3 & 4 70% 99% 100% 33/27 0.33FDOT(field)
112 Eq. 1 & 4 88% 100% - 23/18 0.43
FDOT(lab)
34 Eq. 1 & 4 97% 100% - 10/9 0.39
MODOT 30 Eq. 3 & 4 60% 100% - 39/36 0.77NYSDOT 50 Eq. 3 & 4 90% 100% - 0.31/0.34
Mg/m30.51
NCDOT 17 Eq. 3 & 4 100% - - 17/16 0.90FHWA 60 Eq. 3 & 4 88% 100% - 66/62 0.94
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Appendix 1
Analysis of NCDOT Data
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NNNNCCCCDDDDOOOOTTTT RRRRaaaawwww DDDDaaaattttaaaa
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NNNNCCCCDDDDOOOOTTTTDDDDaaaattttaaaa AAAAnnnnaaaallllyyyyssssiiiissss SSSSuuuummmmmmmmaaaarrrryyyy
∆%: ρD (HSG) re ρ
D (Nuc)
-4 .0 -2 .0 0.0 2.0 4.0 6.0
1
3
5
7
9
1 1
1 3
1 5
1 7
%. Percent
ρD =ρ0
1 + 1.2 [ - .3]mCK
.5
C = n(K/m.25) + b
DDDD eeeetttteeee rrrrmmmmiiiinnnnaaaa ttttiiiioooonnnn ooooffff CCCC
Soil Group #1:C = 3.7095(K/m.25) + 8.2414R2 = 0.8987
Soil Group #2:C = 5.6425(K/m.25) + 3.4313R2 = 0.8331
Measured vs. Predicted Density(NCDOT Data)
y = 0.8154x + 15.339
R
2
= 0.9029
75.0
80.0
85.0
90.0
95.0
75.0 80.0 85.0 90.0 95.0
ρD, (HSG), pcf
Data
Linear Fit
∆%, ρD (GeoGauge) re ρD (Nuc)
ρD (GeoGauge), pcf
Measured vs. Estimated Density
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Appendix 2
Analysis of Cal. Poly. Data
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CCCCaaaallll.... PPPPoooollllyyyy.... RRRRaaaawwww DDDDaaaattttaaaa
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CCCCaaaalllliiiiffffoooorrrrnnnniiiiaaaa PPPPoooollllyyyytttteeeecccchhhhnnnniiiicccc IIIInnnnssssttttiiiittttuuuutttteeee,,,, SSSSaaaannnn LLLLuuuuiiiissss OOOObbbbiiiissssppppoooo,,,, CCCCAAAADDDDaaaattttaaaa AAAAnnnnaaaallllyyyyssssiiiissss SSSSuuuummmmmmmmaaaarrrryyyy
∆%: ρD (HSG) re ρD (Nuc)
-10 -5 0 5 10
1
6
11
16
21
26
31
36
41
46
51
56
61
66
71
76
%. Percent
DDDD eeeetttteeee rrrrmmmmiiiinnnnaaaa ttttiiiioooonnnn ooooffff CCCC
Site #1, AASHTO A-2-6(U):C = 4.4561(K/m.25) + 12.704R2 = 0.8943
Site #2, AASHTO A-6(6):C = 3.765(K/m.25) + 19.165R2 = 0.8378
Site #3, AASHTO A-6(7):C = 4.2431(K/m.25) – 4.8947R2 = 0.8199
ρD =ρ0
1 + 1.2 [ - .3]mCK
.5
C = n(K/m.25) + b
Measured vs. Predicted Density(Cal. Poly. Data)
y = 0.9708x + 3.9808
R2
= 0.8292
90
100
110
120
130
90 100 110 120 130
ρD (HSG), pcf
Data
Linear Fit
s
∆%, ρD (GeoGauge) re ρD (Nuc)
ρD (GeoGauge), pcf
Measured vs. Estimated Density
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Appendix 3
Analysis of H. C. Nutting Data
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HHHH.... CCCC.... NNNNuuuuttttttttiiiinnnngggg RRRRaaaawwww DDDDaaaattttaaaa
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HHHH.... CCCC.... NNNNuuuuttttttttiiiinnnngggg CCCCoooo....,,,, CCCCiiiinnnncccciiiinnnnnnnnaaaattttiiii,,,, OOOOHHHHDDDDaaaattttaaaa AAAAnnnnaaaallllyyyyssssiiiissss SSSSuuuummmmmmmmaaaarrrryyyy
- 1 5 - 1 0 - 5 0 5 1 0 1 5
1
3
5
7
9
1 1
1 3
1 5
1 7
1 9
2 1
2 3
2 5
2 7
2 9
3 1
3 3
∆%, ρD (HSG) re ρD (Nuc)
Data Not Used for C
Data Used for C
%, Percent
DDDD eeeetttteeee rrrrmmmmiiiinnnnaaaa ttttiiiioooonnnn ooooffff CCCC
Soil Group #1:C = 2.8335(K/m.25) + 11.465R2 = 0.7417
Soil Group #2:C = 3.1484(K/m.... 22225555) + 2.6727R2 = 0.9693
Soil Group #3:C = 2.8146(K/m.... 22225555) + 10.44R2 = 0.9414
Measured vs. Predicted Density(H.C. Nutting Data)
y = 0.9174x + 9.489
R2
= 0.8638
9 0
100
110
120
130
140
9 0 100 110 120 130 140
ρD (HSG), pcf
Data
Linear Fit
∆%, ρD (GeoGauge) re ρD (Nuc)
ρD (GeoGauge), pcf
Measured vs. Estimated Density
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Appendix 4
Analysis of San Jose Data
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SSSSaaaannnn JJJJoooosssseeee RRRRaaaawwww DDDDaaaattttaaaa
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CCCCiiiittttyyyy ooooffff SSSSaaaannnn JJJJoooosssseeee,,,, CCCCAAAADDDDaaaattttaaaa AAAAnnnnaaaallllyyyyssssiiiissss SSSSuuuummmmmmmmaaaarrrryyyy
- 2 0 - 1 5 - 1 0 - 5 0 5 1 0 1 5
1
4
7
1 0
1 3
1 6
1 9
2 2
2 5
2 8
3 1
3 4
3 7
4 0
4 3
4 6
4 9
5 2
5 5
5 8
Data Not used for C
Data Used for C
∆%: ρD(HSG) re ρ
D (Nuc)
%, Percent
ρD =ρ0
1 + 1.2 [ - .3]mCK
.5
C = n(K/m.25) + b
Determination of C
y = 3.421x + 12.423R2
= 0.8517
0
2 0
4 0
6 0
8 0
100
120
140
160
180
200
0 1 0 2 0 3 0 4 0 5 0
K/ (m0.25
), MN/m
Measured vs, Predicted Density(San Jose Data)
y = 0.5763x + 49.73
R2
0 32919 0
9 5
100
105
110
115
120
125
130
9 0 100 110 120 130
ρD (HSG), pcf
∆%, ρD (GeoGauge) re ρD (Nuc)
ρD (GeoGauge), pcf
Measured vs. Estimated Density
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Appendix 5
Analysis of FDOT Field Data
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FFFFDDDDOOOOTTTT RRRRaaaawwww FFFFiiiieeeelllldddd DDDDaaaattttaaaa
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FFFFDDDDOOOOTTTTFFFFiiiieeeelllldddd DDDDaaaattttaaaa AAAAnnnnaaaallllyyyyssssiiiissss SSSSuuuummmmmmmmaaaarrrryyyy
ρD =ρ0
1 + 1.2 [ - .3]CK
.5
C = n(K/m.25) + b
∆%: ρD (HSG) re ρD (Nuc)
- 1 0 - 8 - 6 - 4 - 2 0 2 4 6 8
1
4
7
1 0
1 3
1 6
1 9
2 2
2 5
2 8
3 1
3 4
3 7
4 0
4 3
4 6
4 9
5 2
5 5
5 8
6 1
6 4
6 7
7 0
7 3
7 6
7 9
8 2
8 5
8 8
9 1
9 4
9 7
100
103
106
109
112
115
%, Percent
Measured vs, Predicted Density(FDOT Data)
y = 0.589x + 44.563
R2
= 0.4305
9 5
100
105
110
115
120
125
ρD (HSG), pcf
Data
Linear Fit
DDDD eeeetttteeee rrrrmmmmiiiinnnnaaaa ttttiiiioooonnnn ooooffff CCCC
Soil Group #1:C = 0.3536(K/m.25) + 1.8587R2 = 0.9439
Soil Group #1a:C = 0.4613(K/m.25) + 1.0223R2 = 0.97
Soil Group #2:C = 0.5391(K/m.... 22225555) + 0.1964R2 = 0.9568
Soil Group #3:C = 0.4126(K/m.... 22225555) + 0.8955R2 = 0.9828
Soil Group #4:C = 0.1288(K/m.25) + 6.48R2 = 1
∆%, ρD (GeoGauge) re ρD (Nuc)
ρD (GeoGauge), pcf
Measured vs. Estimated Density
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Appendix 6
Analysis of FDOT Lab Data
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FFFFDDDDOOOOTTTT RRRRaaaawwww LLLLaaaabbbb DDDDaaaattttaaaa
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FFFFDDDDOOOOTTTTLLLLaaaabbbb DDDDaaaattttaaaa AAAAnnnnaaaallllyyyyssssiiiissss SSSSuuuummmmmmmmaaaarrrryyyy
ρD =ρ0
1 + 1.2 [ - .3]CK
.5
C = n(K/m.25) + b
∆%: ρD (HSG) re ρ
D (Lab.)
- 4 - 3 - 2 - 1 0 1 2 3 4 5
1
2
3
4
5
6
7
8
9
1 0
1 1
1 2
1 3
1 4
1 5
1 6
1 7
%, Percent
Data Not Used for C
Data Used for C
Measured vs. Predicted Density(FDOT Data)
y = 0.5861x + 44.97
R2
= 0.3865
104
106
108
110
112
114
116
104 106 108 110 112 114 116
ρD(HSG), (pcf)
Data
Linear Fit
Determination of C
y = 0.3947x + 1.8007
R2 = 0.9397
4
5
6
7
8
9
1 0
1 1
1 2
1 3
1 4
0 1 0 2 0 3 0
K/m, (MN/M)
DataLinear Fit
∆%, ρD (GeoGauge) re ρD (Nuc)
ρD (GeoGauge), pcf
Measured vs. Estimated Density
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Appendix 7
Analysis of MODOT Data
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MMMMOOOODDDDOOOOTTTT RRRRaaaawwww DDDDaaaattttaaaa
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MMMMOOOODDDDOOOOTTTTDDDDaaaattttaaaa AAAAnnnnaaaallllyyyyssssiiiissss SSSSuuuummmmmmmmaaaarrrryyyy
∆%: ρD (HSG) re ρD
(Nuc)
- 1 0 - 5 0 5 1 0
1
4
7
1 0
1 3
1 6
1 9
2 2
2 5
2 8
%. Percent
ρD =ρ0
1 + 1.2 [ - .3]mCK
.5
C = n(K/m.25) + b
DDDD eeeetttteeee rrrrmmmmiiiinnnnaaaa ttttiiiioooonnnn ooooffff CCCC
Soil Group #1:C = 4.5241(K/m.25) – 2.0602R2 = 0.9239
Soil Group #2:C = 5.9674(K/m.25) – 16.752R2 = 0.9834
Measured vs. Predicted Density(MODOT Data)
y = 0.7527x + 26.806R
2
= 0.7717
8 5
9 5
105
115
125
135
145
8 5 9 5 105 115 125 135ρ
D (HSG), pcf
Data
Linear Fit
∆%, ρD (GeoGauge) re ρD (Nuc)
ρD (GeoGauge), pcf
Measured vs. Estimated Density
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Appendix 8
Analysis of NYSDOT Data
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NNNNYYYYSSSSDDDDOOOOTTTT RRRRaaaawwww DDDDaaaattttaaaa
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NNNNYYYYSSSSDDDDOOOOTTTTDDDDaaaattttaaaa AAAAnnnnaaaallllyyyyssssiiiissss SSSSuuuummmmmmmmaaaarrrryyyy
∆%, ρ(HSG) re ρ( N u c )
-10 -5 0 5 10
1
3
5
7
9
11
13
15
17
19
21
23
25
27
29
%, Percent
Not Used for C
Used for C
ρD =ρ0
1 + 1.2 [ - .3]mCK
.5
C = n(K/m.25) + b
Measured vs. Predisted Density(NYSDOT Data)
y = 0.7879x + 0.4068
R2
0 5073
1.70
1.75
1.80
1.85
1.90
1.95
2.00
2.05
2.10
1.70 1.80 1.90 2.00 2.10ρD (HSG), Mg/m
3
Data
Linear Fit
Deterimination of C
y = 4.1333x + 11.744
R
2
= 0.887
6
5 6
106
156
206
256
1 0 2 0 3 0 4 0 5 0
K / m , MN/m
Data
Linear Fit
∆%, ρD (GeoGauge) re ρD (Nuc)
ρD (GeoGauge), pcf
Measured vs. Estimated Density
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Appendix 9
Analysis of FDOT Lab Data
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FFFFHHHHWWWWAAAA RRRRaaaawwww DDDDaaaattttaaaa
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FFFFHHHHWWWWAAAA TTTTuuuurrrrnnnneeeerrrr---- FFFFaaaaiiiirrrrbbbbaaaannnnkkkkssssDDDDaaaattttaaaa AAAAnnnnaaaallllyyyyssssiiiissss SSSSuuuummmmmmmmaaaarrrryyyy
ρD =ρ0
1 + 1.2 [ - .3]mCK
.5
C = n(K/m.25) + b
∆%: ρD (HSG) re ρD
(Nuc)
- 1 5 - 1 0 - 5 0 5 1 0 1 5
1
3
5
7
9
1 1
1 3
1 5
1 7
1 9
2 1
2 3
2 5
2 7
2 9
%, Percent
Data Not Used for C
Data Used for C
Measured vs, Predicted Density(FHWA Data)
y = 0.9686x + 4.5858R
2
= 0.9383
80
90
100
110
120
130
140
150
160
ρD (HSG), pcf
Data
Linear Fit
DDDD eeeetttteeee rrrrmmmmiiiinnnnaaaa ttttiiiioooonnnn ooooffff CCCC
Soil Group #1 (Bridge):C = 7.7675(K/m.25) – 12.337R2 = 0.5699
Soil Group #2 (Agg. Pit):C = 5.8177(K/m.... 22225555) – 25.173R2 = 0.9839
Soil Group #3 (Sand Pit):C = 3.1862(K/m.... 22225555) + 2.5947R2 = 0.932
Soil Group #4 (Clay Pit):C = 33.626(K/m.25) – 69.423R2 = 0.9556
∆%, ρD (GeoGauge) re ρD (Nuc)
ρD (GeoGauge), pcf
Measured vs. Estimated Density