干湿循环下粗粒土回弹模量演变规律及模型预估和修正

doi:10.13229/j.cnki.jdxbgxb20200614

Abstract

Abstract:

With the help of the dynamic triaxial test system, the changes of coarse-grain soil rebound modulus under different moisture content, stress loading paths and dry and wet cycles (N) are studied. A several estimation models are used to determine the Ni model as the estimation model of coarse-grain soil modulus, and the correction coefficient and fitting equation are put forward. The test results show that the rebound modulus decreases with the increase of water content, and the rebound modulus corresponding to 4% water content is the largest. When the partial stress is fixed, the surrounding pressure and the rebound modulus are negatively correlated with the rebound modulus. With the increase of N the rebound modulus has the trend of decay, which reaches the maximum at N=1~2, and the decay is reduced at N=3~4, when N>4, the rebound modulus becomes stable. The research results provide a reference basis for the design of coarse-grain soil subgrade.

Key words: road engineering, coarse-grained soil, dry-wet cycle, correction coefficient, modulus estimate

CLC Number:

UT411

Wu-ping RAN,Hui-min CHEN,Ling LI,Li-qun FENG. Evolution law and model estimation and modification of resilience modulus of coarse grained soil subgrade under wet and dry cycle[J].Journal of Jilin University(Engineering and Technology Edition), 2021, 51(6): 2079-2086.

Figures/Tables 10

Fig.1

Table 1

Fig.2

Fig.3

Fig.4

Fig.5

Fig.6

Table 2

Regression of fitting parameters of the predicted mode"

模型	拟合公式	ω/%	k₁	k₂	k₃	R²
K-θ	$M R = k 1 θ k 2$	4	60.18	0.16	?	0.29
		5	59.08	0.14	?	0.29
		6	50.99	0.15	?	0.26
围压	$M R = k 1 σ 3 k 2$	4	55.93	0.24	?	0.65
		5	56.26	0.20	?	0.64
		6	46.93	0.23	?	0.63
Uzan	$M R = k 1 θ k 2 σ d k 3$	4	45.83	0.28	-0.11	0.63
		5	45.31	0.25	-0.11	0.54
		6	39.61	0.26	-0.11	0.53
NCHRP1-28A	$M R = k 1 p a θ p a k 2 τ o c t p a + 1 k 3$	4	1.46	0.26	0.94	0.66
		5	1.26	0.23	0.69	0.74
		6	1.14	0.23	0.94	0.62
Ni	$M R = k 1 p a σ 3 p a + 1 k 2 σ d p a + 1 k 3$	4	1.46	0.26	0.94	0.82
		5	1.26	0.23	0.69	0.89
		6	1.14	0.23	0.94	0.77

Table 2

Fig.7

Table 3

Correction coefficient of dry and wet cycle（ω=5%）"

/kPa $σ 3$	$σ d$ /kPa	修正系数拟合公式 $β = a + b x + c x 2 + d x 3$					粗粒回弹模量干湿循环修正系数β
/kPa $σ 3$	$σ d$ /kPa	a	b	c	d	R	N=0	N=1	N=2	N=3	N=4	N=5
15	8	1.003	-0.157	0.026	-0.002	>0.95	1	0.88	0.78	0.70	0.70	0.65
	15	0.997	-0.155	0.024	-0.001	>0.95	1	0.85	0.78	0.71	0.67	0.65
	30	1.003	-0.200	0.041	-0.003	>0.95	1	0.85	0.73	0.69	0.66	0.62
30	15	1.002	-0.073	-0.016	0.004	>0.95	1	0.92	0.82	0.73	0.70	0.69
	30	1.002	-0.127	0.010	0.001	>0.95	1	0.89	0.80	0.71	0.70	0.69
	60	0.999	-0.146	0.017	-0.000	>0.95	1	0.87	0.77	0.70	0.65	0.63
45	23	1.005	-0.114	0.017	-0.001	>0.95	1	0.92	0.82	0.73	0.70	0.69
45	45	0.999	-0.158	0.220	-0.001	>0.95	1	0.86	0.77	0.70	0.67	0.66
干湿循环修正系数取值范围								0.85~ 0.92	0.73~ 0.82	0.69~ 0.73	0.65~ 0.70	0.62~ 0.69

Table 3

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Evolution law and model estimation and modification of resilience modulus of coarse grained soil subgrade under wet and dry cycle

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