Ancillary Experiments 7.3.4.3 Contact Area vs. Perimeter These results show no coherent picture for the small scale plates between contact pressure, LPPL, and soil density increase. Therefore in Figure 127 LPPL is plotted against contact pressure for the soil bin experiment and shows two near linear relationships depending on axle load. If both, the contact pressure and LPPL data are divided by the corresponding load resulting in perimeter length and contact area which is plotted on the right hand side of Figure 127, their relationship appears to be linear. To ease further comparison, soil den- sity increase will now be corrected for its influence of load, too. Load per Perimeter Length (t/m) 3,2 3,0 2,8 2,6 2,4 2,2 2,0 1,8 1,6 1,4 1,2 60 80 100 120 140 160 180 Contact Presssure (kPa) Ph.D. Thesis Dirk Ansorge (2007) Perimeter Length (m) 6,5 6,0 5,5 5,0 4,5 4,0 3,5 3,0 2,5 164 2,0 0,2 0,4 0,6 0,8 1,0 1,2 1,4 1,6 Contact Area (m 2 Contact Area (m ) 2 ) Figure 127: LPPL vs. contact pressure (left) and perimeter length vs. contact area (right) 7.3.4.4 Interaction of Contact Area and Perimeter Since the previous Sections implied that both contact pressure and LPPL appear to have an influence on soil density increase, the following model was tested next on the soil bin ex- periment: Rel . DensityIncrease � ContactArea � PerimeterLength � ContactArea * PerimeterLength Eq. 10 The resulting prediction of the soil density increase is shown on the left of Figure 128 whereby a high correlation coefficient was achieved and the slope was equal to one. How- ever, following the statistical analysis, the parameter “contact area” dropped out of this full
Ancillary Experiments model which only marginally decreased the correlation coefficient as can be seen from the right hand side in Figure 128. The slight disadvantage of the prediction model was that both times the intercept was statistically significant, which ideally should be zero as at a measured density increase of zero the predicted one should be zero, too. Measured Rel. Density Increase 0,00035 0,0003 0,00025 0,0002 0,00015 0,0001 0,00005 y = x - 6E-08 R 2 y = x - 6E-08 R = 0,945 2 = 0,945 0 0 0,00005 0,0001 0,00015 0,0002 0,00025 0,0003 0,00035 Predicted Rel. Density Increase Measured Rel. Density Increase 0,00035 0,0003 0,00025 0,0002 0,00015 0,0001 0,00005 y = 1,0001x - 2E-08 R 2 y = 1,0001x - 2E-08 R = 0,9326 2 = 0,9326 Ph.D. Thesis Dirk Ansorge (2007) 165 0 0 0,00005 0,0001 0,00015 0,0002 0,00025 0,0003 0,00035 Predicted Rel. Density Increase Figure 128: Measured vs. predicted relative density increase; full (left) and reduced mo- del (right) Therefore a further approach was heuristically taken whereby the relative density increase was described with the reciprocal of both contact area and perimeter length. Additionally the reciprocal of the interaction term again allowed an interaction between both. The result of the regression line is shown in Figure 129 on the left hand side. The correlation coeffi- cient is highest and the slope virtually equal to one. All three parameters significantly de- scribe the behavior and more importantly compared to the previous approach, the intercept is the only parameter not having a significant influence in explaining the data. Measured Rel. Density Increase 0,00035 0,0003 0,00025 0,0002 0,00015 0,0001 0,00005 y = 0,9996x+ 2E-08 R 2 R = 0,9556 2 = 0,9556 0 0 0,0000 0,0001 0,0001 0,0002 0,0002 0,0003 0,0003 5 5 5 5 Predicted Rel. Density Increase Measured Measured Rel. Density Increase 0,00035 0,0003 0,00025 0,0002 0,00015 0,0001 0,00005 y = x + 2E-09 R 2 R = 0,8495 2 = 0,8495 0 0 0,0000 0,0001 0,0001 0,0002 0,0002 0,0003 0,0003 5 5 5 5 Predicted Rel. Density Increase Figure 129: Measured vs. predicted relative density increase using reciprocals of Eq. 10; full (left) and empirically reduced (right) model If the interaction term is not taken into consideration (right hand side of Figure 129) the correlation coefficient drops significantly and moreover the two remaining parameters are not significant anymore in describing the variation of the data.
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Cranfield University School of Appl
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Abstract Ancillary experiments show
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Table of Contents TABLE OF CONTENTS
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Table of Contents 4.1.3 Analysis of
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Table of Contents 11.1.1.1 Comparis
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List of Figures and Tables Figure 3
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List of Figures and Tables Figure 1
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Nomenclature NOMENCLATURE Abbreviat
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Introduction 1 INTRODUCTION 1.1 Bac
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Introduction � Ansorge, D. and Go
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Introduction 1.2 Aim To elucidate t
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Introduction a) the soil compaction
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Experimental Methods 2.1.1.1 Test F
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Experimental Methods had been mount
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Experimental Methods track; the loa
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Experimental Methods 800/10.5/2.5 t
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Experimental Methods term. In the m
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Experimental Methods Soil Surface F
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Experimental Methods Depth (cm) 0 1
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Experimental Methods ence surface c
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Experimental Methods chine derives
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Experimental Methods depth. The dat
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Experimental Methods with water and
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Experimental Methods 2.4 Statistica
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Laboratory Studies Into Undercarria
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Laboratory Studies Into Undercarria
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Laboratory Studies Into Undercarria
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Laboratory Studies Into Undercarria
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Laboratory Studies Into Undercarria
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Laboratory Studies Into Undercarria
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Laboratory Studies Into Undercarria
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Laboratory Studies Into Undercarria
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Laboratory Studies Into Undercarria
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Laboratory Studies Into Undercarria
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Laboratory Studies Into Undercarria
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Laboratory Studies Into Undercarria
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Laboratory Studies Into Undercarria
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Laboratory Studies Into Undercarria
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Field Study With Full Size Combine
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Field Study With Full Size Combine
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Field Study With Full Size Combine
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Field Study With Full Size Combine
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Field Study With Full Size Combine
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Field Study With Full Size Combine
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Field Study With Full Size Combine
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Field Study With Full Size Combine
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Field Study With Full Size Combine
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Field Study With Full Size Combine
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Field Study With Full Size Combine
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Alleviation of Soil Compaction Howe
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Alleviation of Soil Compaction not
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Alleviation of Soil Compaction in a
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Alleviation of Soil Compaction diff
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Soil Compaction Models sibilities t
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Soil Compaction Models depends on t
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Soil Compaction Models Wroth (1968)
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Soil Compaction Models however, the
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Soil Compaction Models level. Criti
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Soil Compaction Models Utilizing Ke
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Soil Compaction Models average of m
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Soil Compaction Models Depth (mm) -
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Soil Compaction Models ture content
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Soil Compaction Models with four ot
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Soil Compaction Models Predicted In
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- Page 195 and 196: Bibliography 10 BIBLIOGRAPHY Aboaba
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- Page 199 and 200: Bibliography Gregory, A.S.; Whalley
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- Page 203 and 204: Bibliography Seig, D., 1985. Soil C
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Appendix To summarize the ability t
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Appendix In the following the predi
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Appendix concentration factor of 4,
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Appendix 11.1.5.1 Confining Pressur
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Appendix Figure 24. The VCL created
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Appendix Rel. Density 2 1,9 1,8 1,7
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Appendix relation of � 1 to � 2
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Appendix Rel. Density 2 1,9 1,8 1,7
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Appendix Rel. Density 1,7 1,68 1,66
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Appendix Depth (mm) 0,0 100,0 200,0
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Appendix Figure 42: Plate in cookin
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Appendix � z � � �� k c p
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Appendix Table 8: n and k depending
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Appendix to the plate sinkage equat
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Appendix with a slight deviation fr
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Appendix Table 12: DBD values for a