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

Seasonal Variations in The Moduli of Unbound Pavement Layers

Appendix D: Materials Data Used in Development of E Predictive Models

Table 70. Material density, relative density, and PI used in soil class models
Section	Layer	Class	Thickness (m)	Layer Type^*	Dry Density (kg/m³)	Relative Density	PI
040113	2	A–1–a	0.19	GB	2164	0.96	0
040113	3	A–1–b	0.91	SS	2097	1.04	0
040113	4	A–1–b	6.40	SS	1930	0.96	0
040114	2	A–1–a	0.31	GB	2108	0.93	0
040114	3	A–2–4	0.91	SS	1800	0.84	7
040114	4	A–2–4	6.22	SS	1800	0.84	7
041024	2	A–1–a	0.16	GB	2278	0.95	0
041024	3	A–2–6	0.91	SS	1956	1.03	20
041024	4	A–2–6	–	SS	1960	1.03	20
081053	2	A–1–a	0.11	GB	2166	0.99	0
081053	3	A–1–a	0.60	GS	2161	1.01	0
081053	4	A–6	0.91	SS	1640	1.02	22
081053	5	A–6	–	SS	1630	1.02	22
091803	2	A–1–a	0.31	GB	2260	1.04	0
091803	3	A–1–a	0.91	SS	1997	0.88	0
091803	4	A–4	–	SS	2265	1.27	4
131005	2	A–1–a	0.23	GB	2230	1.02	0
131005	3	A–4	0.91	SS	1829	0.89	1
131005	4	A–4	–	SS	1690	0.82	1
131031	2	A–1–b	0.22	GB	2168	1.00	0
131031	3	A–4	0.91	SS	1500	0.81	9
131031	4	A–4	13.80	SS	1500	0.81	9
161010	2	A–1–a	0.14	GB	2047	0.90	0
161010	3	A–2–4	0.91	SS	1878	1.03	0
161010	4	A–2–4	–	SS	1877	1.03	0
231026	2	A–1–a	0.45	GB	2278	1.04	0
231026	3	A–1–b	0.91	SS	1961	0.92	0
231026	4	A–1–b	–	SS	1960	0.92	0
241634	3	A–4	0.33	GS	2006	0.98	0
241634	4	A–4	–	SS	1680	1.03	0
251002	2	A–1–a	0.10	GB	1940	0.81	0
251002	3	A–1–b	0.21	GS	2030	0.98	0
251002	4	A–3	–	SS	1790	1.07	0
271018	2	A–1–b	0.13	GB	2035	0.92	0
271018	3	A–3	0.91	SS	1829	0.98	0
271018	4	A–3	1.16	SS	1828	0.98	0
271028	3	A–1–b	0.91	SS	2017	1.09	0
271028	4	A–1–b	–	SS	2017	1.09	0
276251	2	A–1–b	0.26	GB	2076	0.96	0
276251	3	A–3	0.91	SS	1895	1.00	0
276251	4	A–3	1.39	SS	1858	0.98	0
308129	2	A–1–a	0.58	GB	2209	1.00	0
308129	3	A–6	1.67	SS	1816	0.97	16
308129	4	A–6	–	SS	–	–	16
331001	2	A–1–a	0.49	GB	2150	0.99	0
331001	3	A–1–b	0.37	GS	2100	1.02	0
331001	4	A–2–4	–	SS	1860	1.00	0
351112	2	A–2–4	0.15	GB	1722	0.90	7
351112	3	A–3	0.91	SS	1646	0.97	0
351112	4	A–3	–	SS	1646	0.97	0
481077	2	A–1–a	0.26	GB	2139	0.96	0
481077	3	A–4	0.91	SS	1720	0.94	0
481122	2	A–1–b	0.40	GB	2154	0.97	1
481122	3	A–2–4	0.21	GS	1821	0.94	0
481122	4	A–2–6	–	SS	1851	0.98	12
491001	2	A–1–b	0.15	GB	2094	0.98	0
491001	3	A–2–4	0.91	SS	1812	0.99	0
161010	4	A–2–4	–	SS	1877	1.03	0
231026	2	A–1–a	0.45	GB	2278	1.04	0
231026	3	A–1–b	0.91	SS	1961	0.92	0
231026	4	A–1–b	–	SS	1960	0.92	0
241634	3	A–4	0.33	GS	2006	0.98	0
491001	4	A–2–4	–	SS	1810	0.99	0
501002	2	A–1–a	0.66	GB	2027	0.88	0
501002	3	A–1–a	0.91	SS	1759	0.80	0
501002	4	A–1–a	–	SS	1761	0.80	0
561007	2	A–1–a	0.16	GB	2046	0.91	0
561007	3	A–2–4	0.91	SS	1917	0.99	0
561007	4	A–2–4	–	SS	1916	0.99	0
831801	2	A–1–a	0.14	GB	2084	0.95	5
831801	3	A–2–6	0.34	GS	1936	0.89	11
831801	4	A–2–4	–	SS	1829	1.08	0
871622	2	A–1–b	0.17	GB	2007	0.90	0
871622	3	A–1–b	0.67	GS	1951	1.02	0
871622	4	A–4	–	SS	1809	1.02	0
906405	2	A–1–a	0.23	GB	2151	0.95	0
906405	3	A–1–b	0.91	SS	2039	1.16	0
906405	4	A–1–b	–	SS	2039	1.16	0
^*GB = granular base; GS = granular subbase; SS = subgrade soil

Table 71. Material gradation used in soil class models
Section and Layer		Percent Passing
Section and Layer		3"	2"	1.5"	1"	¾"	½"	3/8"	No. 4	No.10	No.40	No.80	No.200
040113	2	100	100	100	100	94	81	75	61	49	27	18	11
040113	3	100	100	98	96	93	89	86	77	58	22	11	9
040113	4	100	100	98	96	93	89	86	77	58	22	11	9
040114	2	100	100	100	100	94	81	75	61	49	27	18	11
040114	3	100	96	94	85	82	77	74	64	51	31	24	18
040114	4	100	96	94	85	82	77	74	64	51	31	24	18
041024	2	100	100	100	88	71	53	46	32	23	17	14	9
041024	3	100	100	97	92	89	85	83	79	73	59	47	31
041024	4	100	100	97	92	89	85	83	79	73	59	47	31
081053	2	100	100	100	100	98	78	66	47	35	22	14	9
081053	3	100	77	77	72	65	57	52	42	33	21	14	9
081053	4	100	100	100	100	100	100	100	97	97	96	94	92
081053	5	100	100	100	100	100	100	100	97	97	96	94	92
091803	2	92	89	85	76	71	63	58	49	40	22	11	6
091803	3	91	89	83	75	69	62	57	49	43	28	18	11
091803	4	100	100	100	98	97	94	90	89	86	74	64	54
131005	2	100	100	100	94	83	68	61	48	41	30	18	9
131005	3	100	100	100	100	100	100	100	100	100	95	79	36
131005	4	100	100	100	100	100	100	100	100	100	95	79	36
131031	2	100	100	100	99	97	95	94	93	78	48	29	11
131031	3	100	100	99	97	94	91	90	88	84	69	56	43
131031	4	100	100	99	97	94	91	90	88	84	69	56	43
161010	2	100	100	100	100	100	87	68	46	34	25	16	8
161010	3	100	100	100	100	100	100	99	97	88	66	38	13
161010	4	100	100	100	100	100	100	99	97	88	66	38	13
231026	2	71	61	59	50	45	41	38	32	26	13	7	4
231026	3	94	89	85	78	74	69	66	60	54	36	23	11
231026	4	94	89	85	78	74	69	66	60	54	36	23	11
241634	3	100	100	100	100	100	100	100	100	99	99	99	99
241634	4	100	100	100	100	100	100	100	100	100	99	99	99
251002	2	100	100	97	79	69	62	57	46	24	13	9	7
251002	3	91	86	83	80	77	72	69	61	52	28	15	10
251002	4	100	100	100	100	100	100	99	99	98	72	19	7
271018	2	100	100	100	100	95	85	80	68	57	29	13	8
271018	3	100	100	100	100	100	99	98	97	95	72	12	5
271018	4	100	100	100	100	100	99	98	97	95	72	12	5
271028	3	100	100	100	99	98	97	96	92	86	43	12	6
271028	4	100	100	100	99	98	97	96	92	86	43	12	6
276251	2	100	100	100	100	98	93	91	85	75	38	16	9
276251	3	100	100	100	100	100	100	99	99	97	72	18	8
276251	4	100	100	100	100	100	100	99	99	97	72	18	8
308129	2	100	100	100	100	95	76	66	43	29	21	12	8
308129	3	100	100	100	99	97	93	90	84	79	76	72	60
308129	4	100	100	100	99	97	93	90	84	79	76	72	60
331001	2	100	100	100	77	68	59	52	44	37	16	8	5
331001	3	100	100	97	93	89	85	81	75	68	37	17	8
331001	4	100	100	100	99	99	98	97	95	93	74	40	15
351112	2	100	100	100	98	95	89	83	67	59	49	36	15
351112	3	100	100	100	100	100	100	100	99	99	96	70	4
351112	4	100	100	100	100	100	100	100	99	99	96	70	4
481077	2	100	100	100	91	82	69	61	49	42	25	12	7
481077	3	100	100	100	100	99	99	98	97	97	94	90	74
481122	2	100	99	99	94	88	77	69	53	43	31	27	23
481122	3	100	99	99	99	98	97	97	96	96	64	34	19
481122	4	100	100	100	100	100	100	99	99	98	72	46	32
491001	2	100	100	100	100	99	86	74	63	56	49	32	13
491001	3	100	100	100	100	100	100	99	97	96	91	50	14
491001	4	100	100	100	100	100	100	99	97	96	91	50	14
501002	2	100	93	83	56	45	31	24	15	10	5	4	3
501002	3	94	92	88	80	76	70	62	48	38	17	10	7
501002	4	94	92	88	80	76	70	62	48	38	17	10	7
561007	2	100	100	100	100	98	81	70	51	40	28	18	10
561007	3	100	100	100	100	100	98	96	88	84	78	52	24
561007	4	100	100	100	100	100	98	96	88	84	78	52	24
831801	2	100	100	100	100	100	85	78	62	48	23	12	11
831801	3	100	100	100	91	85	74	69	57	47	17	12	11
831801	4	100	100	100	100	100	100	100	100	99	93	49	29
871622	2	100	100	100	100	96	83	75	63	53	31	19	13
871622	3	80	80	79	76	74	72	70	67	63	47	23	12
871622	4	100	100	100	100	100	100	100	100	100	99	84	52
906405	2	100	100	100	99	99	90	88	65	48	28	12	9
906405	3	100	100	100	100	100	100	99	99	98	40	7	5
906405	4	100	100	100	100	100	100	99	99	98	40	7	5

Table 72. Source tables for materials data used in predictive models for backcalculated pavement layer moduli
Variable	Source Data Table	Comments
Moisture content	SMP_TDR_AUTO_MOISTURE	Within-day mean of all observations for layer
Moisture content;optimum moisture content	SMP_TDR_AUTO_MOISTURE + TST_SS05_UG05	Within-day mean of all observations for layer
Distance to water table	SMP_WATERTAB_DEPTH_MAN	Relative to mid-layer depth for finite layers; relative to depths used for stress computations for semi-infinite layers
Density	TST_ISD_MOIST	Values for instrumented end of section where available; those for opposite end of section as backup. Gradation and density for section 091803 subgrade layers from reference [82]

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Page Owner: Office of Research, Development, and Technology, Office of Infrastructure RDT

Topics: research, infrastructure, pavements and materials
Keywords: research, infrastructure, pavements and materials,LLTPP, Seasonal Monitoring Program, modulus, pavement, Enhanced Integrated Climatic Model, linear layered elastic theory
TRT Terms: research, facilities, transportation, highway facilities, roads, parts of roads, pavements
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