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Publication Number: FHWA-HRT-04-079
Date: July 2006

Seasonal Variations in The Moduli of Unbound Pavement Layers

Appendix G: Trial Application Results Obtained With One-Date Section/Layer-Specific Models

Figure 61. Section 040113 (Arizona) E versus E predicted for section-specific models based on data for a single test date

Figure 61. Graph. Section 040113 (Arizona) E versus E subscript predicted for section-specific models based on data for a single test date. The backcalculated modulus is graphed on the horizontal axis from 0 to 500 megapascals. The predicted modulus is graphed on the vertical axis from 0 to 500 megapascals. There are three layers: layers 2, 3, and 4. The subgrade error is at a minimum confidence of 95 percent and the base error is at the maximum confidence of 95 percent. Layer 3 is tightly clustered at backcalculated modulus of 70-100 megapascals at predicted modulus of 50-100 megapascals. Layer 2 is scattered between a backcalculated modulus of 100-200 megapascals and a predicted modulus of 125-425 megapascals. Layer 4 is tightly clustered at a backcalculated modulus of 120-160 megapascals and at a predicted modulus of 150 megapascals. Both layers 3 and 4 are plotted within the subgrade error band and have a strong correlation.

Figure 62. Section 091803 (Connecticut) E versus E predicted for section-specific models based on data for a single test date

Figure 62. Graph. Section 091803 (Connecticut) E versus E subscript predicted for section-specific models based on data for a single test date. The backcalculated modulus is graphed on the horizontal axis from 0 to 600 megapascals. The predicted modulus is graphed on the vertical axis from 0 to 600 megapascals. There are three layers: layers 2, 3, and 4. The subgrade error is at a minimum confidence of 95 percent and the base error is at the maximum confidence of 95 percent. All three layers are scattered across the graph from backcalculated modulus of 100-400 megapascals and predicted modulus of 100-600 megapascals. All three layers are plotted outside of the base band error and thus have a weak correlation.

Figure 63. Section 271018 (Minnesota) E versus E predicted for section-specific models based on data for a single test date (A (top) and B (bottom))

Figure 63. Graphs. Section 271018 (Minnesota) E versus E subscript predicted for section-specific models based on data for a single test date (A-top and B-bottom). There are two graphs shown (A and B). On both graphs, the backcalculated modulus is graphed on the horizontal axis from 0 to 400 megapascals, and the predicted modulus is graphed on the vertical axis from 0 to 400 megapascals. There are three layers: layers 2, 3, and 4. The subgrade error is at a minimum confidence of 95 percent and the base error is at the maximum confidence of 95 percent. Layer 3 has a few plots overlapping each other for both graph A and graph B at a modulus of 40 megapascals. Layer 2 has a few plots scattered throughout graph A. In graph B, layer 2 has 4 plots on backcalculated modulus 140-200 megapascals at predicted modulus of 150 megapascals. Layer 3 remains within the subgrade error band for both graph A and B. Layers 3 and 4 for both A and B, and layer 2 in graph B, have a strong correlation and remain within the base and subgrade error band.

Figure 64. Section 481077 (Texas) E versus E predicted for section-specific models based on data for a single test date

Figure 64. Graph. Section 481077 (Texas) E versus E subscript predicted for section-specific models based on data for a single test date. The backcalculated modulus is graphed on the horizontal axis from 0 to 800 megapascals. The predicted modulus is graphed on the vertical axis from 0 to 800 megapascals. There are two layers: layers 2 and 3. The subgrade error is at a minimum confidence of 95 percent and the base error is at the maximum confidence of 95 percent. Layer 3 is plotted within the base error band and is in a tight cluster on backcalculated modulus of 100-250 megapascals and predicted modulus of 125-250 megapascals. Layer 2 is loosely clustered on backcalculated modulus 200-500 megapascals at 225-500 megapascals. Layer 3 has a strong correlation between backcalculated modulus and predicted modulus.

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The Federal Highway Administration (FHWA) is a part of the U.S. Department of Transportation and is headquartered in Washington, D.C., with field offices across the United States. is a major agency of the U.S. Department of Transportation (DOT). Provide leadership and technology for the delivery of long life pavements that meet our customers needs and are safe, cost effective, and can be effectively maintained. Federal Highway Administration's (FHWA) R&T Web site portal, which provides access to or information about the Agency’s R&T program, projects, partnerships, publications, and results.
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