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Published online 21 June 2006
Published in Soil Sci Soc Am J 70:1262-1271 (2006)
DOI: 10.2136/sssaj2005.0247
© 2006 Soil Science Society of America
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Fitting Uniaxial Soil Compression Using Initial Bulk Density, Water Content, and Matric Potential

D. D. Fritton*

Dep. of Crop and Soil Sciences, Pennsylvania State Univ., University Park, PA 16802


Figure 1
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Fig. 1. Bulk density of seven Bucks soil samples from the 0.76- to 1.22-m depth plotted as a function of the applied stress. The legend indicates the initial water content (kg kg–1) for each soil sample. Symbols represent experimental data. The smooth lines are nonlinear regression curves based on Eq. [1] best fit separately (see Table 1 for values of the input data and coefficients) to each individual soil sample.

 

Figure 2
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Fig. 2. Plot of the coefficient n versus the coefficient m (data points) from Eq. [1]. The smooth curve is the best fit (Eq. [8]) for the 120 soil samples. The inset shows greater detail for 0.02 < m < 0.22. The four circled points belong to the soil sample mixture containing one part Hagerstown and four parts sand (1 Hagerstown/4 sand) and are discussed in the text.

 

Figure 3
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Fig. 3. Bulk density of three Glenelg soil samples from the 0.00- to 0.30-m depth plotted as a function of the applied stress. The data are for an undisturbed core sample (stars) and for two disturbed samples at different initial water contents (triangles and squares). See Table 1 and legends for initial conditions and additional information. The smooth lines result from nonlinear fits based on (a) Eq. [5], (b) Eq. [3] with n1 and n2 as in Eq. [8], (c) Eq. [3] with optimized n1 and n2 values, and (d) Eq. [1]. Optimized values for fits in (a), (b), and (d) are in Table 3, Table 2, and Table 1, respectively, and for (c) are b = –1.43, c = –1.26, cc = 0.00121, f = 0.753, and n2 = 0.165, with all other coefficients set to zero.

 





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