Some equations and variables in this section are expressed in English units only due to their source.
Typical densities for commonly encountered dry soils. Ice rich soils can have substantially smaller dry densities.
Table 1: Typical Soil Densities
| Soil | gd (lb/ft3) |
| Gravel and sand | 120 - 140 |
| Silts and clays | 90 - 100 |
| Peat | ≈ 20 |
Normally, dry densities are used in most calculations (gd); however, the total density of a soil (including moisture) can be calculated as follows:
gtotal = gd (1 + w/100)
|
where: |
w |
= |
moisture content of soil expressed as a percentage |
|
|
gd |
= |
dry density in kg/m3 (lb/ft3) |
|
|
gtotal |
= |
total density in kg/m3 (lb/ft3) |
For example, if a gravel has gd
= 130 lb/ft3
and w = 5%, then gt = 130(1 + 5/100)
= 136.5 lb/ft3
Soil moisture content can be calculated as follows:


Table 2: Typical Moisture Contents of Non-Ice Rich Soils
| Material | gd (lb/ft3) |
| Gravel | 2 - 10 |
| Sands | 5 - 15 |
| Silts | 5 - 40 |
| Clays | 10 - 50 or more |
| Organic (Peat) | > 50 |
The thermal conductivity is the rate of heat flow through a unit area under a thermal gradient (recall that 1 BTU is the energy (heat) required to raise the temperature of 1 lb of water 1 °F):
Units: BTU/hr • ft2 • °F/ft or BTU/hr • ft • °F
Further, ksnow (loose) = 0.06, ksnow (compact) = 0.20.
In the range of water contents (5 to 10%) and dry densities (125-135 lb/ft3) commonly encountered in embankments and pavement base courses, thermal conductivity is very sensitive to moisture content and soil type. Soil thermal conductivities can be obtained from Figures 1 through 3 (from Kirsten, 1949 and Air Force, 1966):
For example, using
Figures 1
through 3:
Base Course (granular)
|
gd = 135 lb/ft3 |
|
kfrozen = 1.8
BTU/hr • ft2
• °F |
Subgrade (silt)
|
gd = 100 lb/ft3 |
|
kfrozen = 0.8
BTU/hr • ft2
• °F |

Figure 1: Average Thermal Conductivity for Silt and
Clay Soils,
Frozen and Unfrozen (redrawn from Kersten, 1949 and Air Force, 1966)
Figure 2: Average Thermal Conductivity for Granular Soils,
Frozen and Unfrozen
(redrawn from Kersten, 1949 and Air Force, 1966)

Figure 3: Average Thermal Conductivity for Peat, Frozen and
Unfrozen
(redrawn from Kersten, 1949 and Air Force, 1966)
The equations used to develop Figures 1 and 2 follow. There are separate equations for frozen (tests conducted at -4 °C) and unfrozen (tests conducted at +4 °C) conditions.
|
where: |
k |
= |
thermal conductivity (BTU/hr • ft2 • °F/ft) |
|
|
w |
= |
soil moisture content (%) |
|
|
gd |
= |
soil dry density (lb/ft3) |
The equations for silt–clay were based on five soils and are valid for moisture contents of seven percent or higher. The equations for granular soils were based on four soils (two sands, a sandy loam, and a gravel) and are valid for moisture contents of one percent or higher. Farouki (1986) noted that Kersten's equations do not apply to dry soils or to crushed rocks. Use of the above equations to estimate k is more accurate than use of Figures 1 and 2.
The volumetric specific heat expresses the change in thermal
energy in a unit volume of soil per unit change in temperature (units are in BTU/ft3 • °F).
Volumetric heat is derived from specific heat. (Recall: specific heat is the change in thermal energy per unit weight per unit change in temperature. If objects of the same weight but of different materials receive the same amount of energy (heat), they will come to equilibrium at different temperatures. Or, stated another way, how much each object's temperature changes depends on the specific heat of the material, if the mass and energy inputs are identical).
|
Calculated values for a
gravel with gd = 130 lb/ft
and w = 5%: |
Cu = 130 (0.17 + 5/100) = 28.6 BTU/ft3 • °F Cf = 130 (0.17 + (0.5) (5/100)) = 25.4 BTU/ft3 • °F Cavg = 130
(0.17 + (0.75) (5/100)) = 27.0 BTU/ft3 • °F |
All objects have energy (heat). A portion of this thermal energy (stored heat) is released when the object cools. The sketch below represents a volume of soil with some moisture as it freezes:

As water freezes, thermal energy equal to L is released while the temperature of the soil remains nearly constant. Thus, the latent heat is the energy required to transform 1 lb of a pure substance from one phase to another at constant temperature. Further, 1 lb. of water gives off 144 BTU as it freezes. The latent heat of a soil can be represented by:

An embankment material with w = 5% and gd = 140 lb/ft3,
Depth of freezing and thawing depends in part on the magnitude and duration of the temperature differential below or above freezing (32 °F) at the ground surface. The freezing or thawing index is therefore given by the summation of the degree-days for a freezing or thawing season.
|
where: |
T |
= |
mean daily temperature |
|
|
|
= |
0.5(T1 + T2) |
|
|
T1 |
= |
maximum daily air temperature |
|
|
T2 |
= |
minimum daily air temperature |
| Day | Maximum | Minimum | Average | Degree Days per Day |
Cumulative Degree Days |
| 1 | 29 | 1 | 15 | -17 | -17 |
| 2 | 9 | -11 | -1 | -33 | -50 |
| 3 | 10 | -8 | 1 | -31 | -81 |
| 4 | 15 | -1 | 7 | -25 | -106 |
| 5 | 30 | 16 | 23 | -9 | -115 |
| 6 | 38 | 30 | 34 | +2 | -113 |
| 7 | 30 | 18 | 24 | -8 | -121 |
Notes:
Normally, data are only available for air freezing and thawing indexes (@ 1 meter in air above ground). However there is still a need to establish potential heat flow at the air-ground interface. No simple correlation exists between air and surface indexes. Differences between air and surface temperatures are influenced by:
|
|
However, designers generally use "n-factor" for purposes of correlation.
"n" increases with increases in latitude and wind speed. Snow covered surfaces reflect large portion of incoming solar radiation with a resulting larger surface freezing index.
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Table 3: Typical “n” Values for Freezing Conditions
| Surface Type | "n" |
| Snow | 1.0 |
| Pavements free of snow and ice | 0.9 |
| Sand and gravel | 0.9 |
| Turf | 0.5 |
"n" decreases with
increases in latitude and wind speed.
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Table 3: Typical “n” Values for Thawing Conditions
| Surface Type | "n" |
| Sand and gravel | 2.0 |
| Turf | 1.0 |
For design purposes, generally use freezing (or thawing) index based on three coldest winters (or warmest summers) in last 30 years of record. If not available, use air-freezing index for the coldest winter in last 10 years.