1 Introduction

Several studies have been carried out to evaluate the liquefaction resistance of Chlef sand, e.g. Arab 2008; Della et al. 2010; Djafar Henni et al. 2013; Belkhatir et al. 2012; Cherif Taiba et al. 2015; Brahim et al. 2016; Mahmoudi et al. 2018 and Dennine et al. 2016. The aim of this study is to evaluate the compression behavior of Chlef sand using the œdometer apparatus. The sands in nature are found with admixtures of clay, silt or gravel. Most of the published works in the literature have largely studied the effect of the fine fraction on the mechanical behavior (shear strength, liquefaction resistance, pore water pressure, volumetric strain, mechanical parameters c and ϕ) of saturated, unsaturated and partially saturated sands, for example Chang et al. 1982; Zlatovic and Ishihara 1995; Lade and Yamamuro 1997; Covert and Yamamuro 1997; Amini and Qi 2000; Thevanayagam and Martin 2002; Arab et al. 2009; Belkhatir et al. 2010, and Arab et al. 2014. However, the research focused on the influence of fines fraction (silt) on the 1D compression behavior is limited. Most of studies have investigated the addition of clay to sand on the compression behavior using the œdometer apparatus. Monkul and Ozden (2007) carried out œdometric tests on kaolinite-sand mixtures based on the principle of the intergranular void ratio, their results indicate that the initial conditions, the percentage of fines and the stress conditions has an influence on the compression characteristics, the tests showed that up to a certain proportion of fines, called transition fines content (Fct), when the intergranular pores (es) are completely filled by fine fraction, the compression behavior of the sand-clay mixtures is mainly controlled by the sand grains, when the percentage of fines exceeds (Fct), kaolinite controls the compression behavior. Cabalar and Hasan (2013) used the concept of the intergranular void ratio and the transition fines content (Fct) to demonstrate the nature of the interaction between coarser particles (sand) and finer particles (clay), they used two different fluids, water and oil, and different shapes of the sand grains to demonstrate that the interstitial fluid with higher viscosity in a sample can cause lower compressibility. Also higher roundness (R) and sphericity (S) of sand grains resulted in higher values of (Fct) et Cc, The value of Cc also increased with smaller diameter of sand grains Cfa et al. (2013) have shown that there is a strong correlation between clay content and strength and compressibility parameters, Compressibility also increases with the clay content and a variable percentage of clay in a site must be analyzed to ensure that the appropriate designs are made to account for differential settlements due to varying clay content. Yin (1999) observed the results similar to those for other soils published in the literature, he demonstrated that there are correlations between the parameters of consolidation Cc, Cr, and Cα, Cv (index of compressibility, index swelling, secondary consolidation coefficient and consolidation coefficient) with IP (or Cv with WL). Lupogo (2012) studied the compression behavior of silty sand with several types of clay, he concluded that the compression behavior is not influenced by the type of fine up to the Fct and its plasticity, above Fct, compressibility of the mixture is controlled by the fine fraction and differs according to the mineralogical composition of fines. Thevanayamgam and Mohan (2000) have studied the behavior of sand consolidation with fine plastics, they have shown that the fine content transition is between 20 and 30%, their results have also shown that for a fine content ≤ 10% the sand dominates the compressibility of the mixture whereas for a fraction of the fines ≥ 40% the fines dominate the compressibility of mixture. Research published in the literature has indicated that the intergranular void ratio is the ideal parameter to evaluate the behavior of a soil composed of two matrices such as our case (sand-silt). Several studies have evaluated the intergranular void ratio (es), Kuerbis et al. (1988) used the intergranular void ratio to study the undrained shear strength and proposed Eq. 1:

$$e_{s} = \frac{{V_{T} \cdot G_{s} \cdot \rho_{w} - (M - M_{silt} )}}{{(M - M_{silt} )}}$$
(1)

Thevanayagam et al. (1998, 2002) proposed an equation for calculating the intergranular void ratio (Eq. 2 and 3):

$$e_{s} = \frac{{e + F_{c} /100}}{{1 - F_{c} /100}}$$
(2)
$$e_{s} = \frac{{e + (1 - b)F_{c} /100}}{{1 - (1 - b)F_{c} /100}}$$
(3)

where (es) is the index of intergranular voids, (Fc) the fines fraction, (e) the ratio of voids and (b) the amount of fines active.

Many researchers used hypoplastic models for constitutive model able to predict the behavior of soil. Bauer (1999), Mašín (2012), Najser et al. (2012), Gudehus (1996), Herle and Gudehus (1999). In this study two parameters of the hypoplastic model (Hs and n) were used for the calculation of the maximum voids ratio emax according to Bauer (1999). Monkul and ozden (2007) have determined the transition fine content based on a constant emax (emax at 0 stress) but in reality emax is not constant and depends on the oedometric pressure applied. emax decreases with increasing oedometric pressure and consequently the transition fine content decreases and the behavior of sand-silt mixtures changes, because the transitional fine content changes with the change of emax. before the transitional fine content limit (Fct) the sand dominates the behavior, after this transitional fine content the silt controls the behavior which is important to the soil behaviour (Fig. 1).

Fig. 1
figure 1

Pressure dependence of void ratio according to Bauer's compression law, Bauer. E (1999)

Our objective is to study the influence of the fine content (Fc), relative density (RD) and the preparation methods on the compressibility behavior, and determine the transition fine content (Fct) for the different modes of preparation of Chlef sand on the basis on the concept of the intergranular void ratio (when \(e_{s} = e_{\max - c}\)) corresponding to monkul and ozden (2007). Bauer (1999) indicate that the maximum void ratio depends on the stress level using parameters of hypoplastic model, so emax is not constant Eq. 4.

$${\text{e}}_{{\text{i}}} = {\text{e}}_{{{\text{i}}0}} {\text{exp}}\left[ { - \left( {\frac{3ps}{{hs}}} \right)^{{\text{n}}} } \right]$$
(4)

ei: maximum void ratio depend on the stress level.

ei0: maximum void ratio at 0 stress level.

hs: granular hardness.

n: exponent.

ps: mean pressure.

The influence of the proportion of fines on the compressibility coefficients (Cc), and the granular compressibility coefficients (Cc-s) is also evaluated. Further, in addition to other papers published on the compression behavior, the relationship between compression coefficients (Cc) and (Cc-s) and the shape of the grading curve expressed by diameters (D10), (D50) and the coefficient of uniformity (Cu) is evaluated.

2 Materials, Apparatus used and experimental procedure

The tests were carried out on Chlef sand and Chlef silt, called “fines” in the following text, Specific gravity for clean sand is Gs = 2.65 and 2.68 for Chlef silt, Maximum and minimum void ratio were determined according to [ASTM D 4253] (2002), [ASTM D 4254] (2002). The diameters of mixtures (D10) and (D50) and the uniformity coefficient (Cu) are given in Table 1, and the particle size distribution curve is presented in Fig. 2.

Table 1 Index properties of sand-silt mixtures
Fig. 2
figure 2

Grain size distribution curves for the tested materials

The tests were carried out in oedometer cells of 70 mm diameter and 20 mm height according to the standard [ASTM D 2435/D 2435 M] (1997) (Fig. 3). The loads were applied by incremental loading steps, which were doubled every 24 h. The samples were prepared using two different preparation methods, dry pluviation (w = 0%) and moist tamping method (w = 3%) Castro.G (1969), Konrad JM (1993), Benahmed.N et al (1999), Bouri et al. (2019) and at two relative dry densities RD = 65% and 80%. The preparation procedure was the same for all samples, For samples with w = 0%, The time for mixing the sand with silt was shorter for w = 0% compared to samples with w = 3% where more time was needed to reach equilibrium. The mixture was then placed in the œdometer ring and compacted by dynamic blows until the desired density was reached, then the top cap was installed and sample was flooded to saturate, the loading stage started after 24 h of saturation.

Fig. 3
figure 3

View of samples after œdometric test

3 Results and discussion

3.1 Effect of fines content and method of preparation on the compressibility behavior of Chlef sand

Figures 4a, b and 5a, b show the variation of the void ratio versus the œdometric pressure, the obtained results show an exponential relationship between the void ratio and the œdometric pressure, the samples prepared by RD = 65% give larger void ratio than the samples prepared by 80% due to the lower compaction and higher void ratio. The initial water content has effect on the void ratio values. For low fines contents and high RD, void ratio is higher for moist tamping method (w = 3%) than for dry pluviation method (w = 0%), which is caused by strengthening effect of water menisci on soil structure, For other fines contents and relative densities, the effect of the initial water content on the initial void ratio appears not to be significant, it is observed from our results that the void ratio decreases with the increasing proportion of fine fraction up to 30% and decreases with further increase of fines up to 40%, It shows that description of the compression behavior by the overall void ratio is not satisfactory. Belkhatir et al. (2010) indicated that the overall void ratio cannot represent the amount of grain contacts in the mixed sand-silt soil. When granular soil contains fines, the overall soil void ratio (e) can no longer be used to describe soil behavior. Indeed, up to a certain fines content, Fc (ratio between the weight of silt and the total weight of the sand-silt mixture), fines occupy only the void spaces and do not significantly affect the mechanical behavior of the mixture, For this reason, the use of the intergranular void ratio has been suggested. The following expressions are suggested to evaluate the void ratio (e) which is a function of the œdometric pressure (σ′):

$$e = a.\exp ( - b.\sigma ^{\prime } ) + c$$
(5)
Fig. 4
figure 4

Variation of the void ratio (e) versus the œdometric pressure (σ′). (Dry pluviation method (w = 0%, a RD = 65%, b RD = 80%)

Fig. 5
figure 5

Variation of the void ratio (e) versus the œdometric pressure (σ′). (Moist tamping method (w = 3%), a RD = 65%, b RD = 80%)

Table 2 illustrates the coefficients a, b, c and the corresponding coefficient of determination (R2) for the Chlef sand-silt mixtures under consideration.

Table 2 Coefficients a, b, c and R2 for Eq. 5

Belkhatir et al (2010) indicated that the concept of the intergranular void ratio (es) assumes that the fines content does not actively participate in the maintenance of internal forces, if the fines content significantly increases, the behavior of the soil is governed by the fine contacts, and the coarse grains (the sand in this study) float in the fines (Fig. 6).

Fig. 6
figure 6

Adapted from Belkhatir et al. 2010)

Schematic diagram showing sand-silt mixtures: a Coarse grains are in contact with each other, b Coarse grains are swimming in the matrix of fines. (

Figures 7a, b and 8a, b illustrate the variation of the intergranular void ratio (es) versus the œdometric pressure (σ′). The intergranular void ratio (es) was calculated according the equation of Monkul and Onal (2006):

$$e_{s} = \frac{{e + G.F_{c} /(G_{f} .100)}}{{G/G_{s} .\left( {1 - F_{c} /100} \right)}}$$
(6)
Fig. 7
figure 7

Variation of the intergranular void ratio versus the œdometric pressure. (Dry pluviation method (w = 0%), a RD = 65%, b RD = 80%)

Fig. 8
figure 8

Variation of the intergranular void ratio versus the œdometric pressure. (Moist tamping method (w = 3%), a RD = 65%, b RD = 80%)

Gs and Gf are the specific gravity of sand and the fines, respectively, G is the specific gravity of sand-silt mixture. The obtained results show that the increase of the density from 65 to 80% and the œdometric pressure (σ′) decreases the intergranular void ratio (es), the samples prepared by dry pluviation method (w = 0%) has an intergranular void ratio (es) greater than those prepared by moist tamping method (w = 3%), the results show also that increasing the fines fraction from 0 to 40% increases the intergranular void ratio (es). The following expressions are suggested to evaluate the intergranular void ratio (es), which is a function of the œdometric pressure (σ′):

$$e_{s} = a.\exp ( - b.\sigma ^{\prime } ) + c$$
(7)

Table 3 illustrates the coefficients a, b, c and the corresponding coefficient of determination (R2) for the Chlef sand-silt mixtures under consideration.

Table 3 Coefficients a, b, c and R2 for Eq. 7

The compression coefficients versus the percentage of silt are shown in Figs. 9a, b and 10a, b, These coefficients were calculated according to the equation of Monkul and Ozden (2005). The calculation of the granular compression index (Cc-s), is similar to the computation of the compression index (Cc):

$$C_{c} = \frac{{\Delta e}}{{\Delta \log \sigma ^{\prime } }}$$
(8)
$$C_{{c - s}} = \frac{{\Delta e_{s} }}{{\Delta \log \sigma ^{\prime } }}$$
(9)
Fig. 9
figure 9

Variation of compression coefficients versus fraction of fines. (Dry pluviation method (w = 0%), a RD = 65%, b RD = 80%)

Fig. 10
figure 10

Variation of compression coefficients versus fraction of fines. (Moist tamping method (w = 3%), a RD = 65%, b RD = 80%)

The coefficients of compressibility (Cc) and (Cc-s) for the four curves are not the same one because of their initial conditions. The increase of the density from 65 to 80% reduces the risk of settlement, the compression coefficients for a density RD = 65% is greater than 80%. It is interesting to point out that, unlike in the case of strength, where a threshold between the behavior predominantly affected by coarse fraction and behavior predominantly affected by fine fraction can be observed, the effect of FC on compressibility behavior is gradual. It is clear that the samples prepared by wet tamping method (w = 3%) have larger compression coefficients than the samples prepared by dry pluviation method (w = 0%). As both samples had (apart of low FC sample at high RD) similar overall void ratios, the difference in the behavior is attributed to different internal structure of the samples caused by water menisci present in w = 3% samples. It is observed that the compression coefficients (Cc) and (Cc-s) increase exponentially with the increase of the fines fraction (Fc). The following expressions are suggested to evaluate the compression coefficients (Cc) and (Cc-s) which are a function of the fines fraction (Fc):

$$C_{c} = a.\exp (b.F_{c} ) + c$$
(10)
$$C_{c - s} = a.\exp (b.F_{c} ) + c$$
(11)

Tables 4 and 5 illustrate the coefficients a, b, c and the corresponding coefficient of determination (R2) of Eq. 10 and 11 for the Chlef sand-silt mixtures under consideration.

Table 4 Coefficients a, b, c and R2 for Eq. 10
Table 5 Coefficients a, b, c and R2 for Eq. 11

Figure 11a, b show the variation of maximum void ratios determinate from Eq. 4 of Bauer 1996 versus the oedometer pressure. The maximum void ratios decreases with the increasing stress level.

Fig. 11
figure 11

Maximum void ratio versus oedometer pressure for clean sand with with initial water content a) Dry pluviation method (w = 0%), b) Moist tamping method (w = 3%)

Figure 12 show the variation of the intergranular void ratio (es) versus the fines content (Fc) for the œdometric pressures applied during the tests (σ′). The border \(e_{s} = e_{\max - c}\) is represented by the dashed line in figures. Figure 5 shows the upper limit, under which the matrix of coarser grains forms a continuous frame with grain-grain contacts Monkul and Ozden (2005), but in reality the maximum void ratio emax is not a constant but depends on the stress level according to Bauer. E (1999) Fig. 11. Table 6, Figs. 11a, b shows the hypoplastic parameters for the determination of emax and curves of emax versus stress level.

Fig. 12
figure 12

Variation in the intergranular void ratio versus the fines fraction. (σ′ = 25, 50, 100, 200, 400, 800 kPa), Dry pluviation method (w = 0%), RD = 65%

Table 6 Hypoplastic model parameters, RD = 65%, moist tamping method (w = 3%)

The intersection between the dotted line and the curves allows to find the transition content of the fines (Fct). In this study the samples were prepared by several different ways, which resulted in different fines content transition (Fct), summarized in Table 7. Table 7 shows that the fines content transition (Fct) increases with the increasing œdometric pressure (σ′).

Table 7 Content transition (Fct) for sample with RD = 65%, Dry pluviation method (w = 0%) under different œdometric pressures for each emax calculate from equation of Bauer (1999)

3.2 Effect of granulometric composition on the compressibility behavior

3.2.1 Effect of effective diameter (D10)

Several studies (Chang et al. 1982; Vaid et al. 1991; Belkhatir et al. 2011; Monkul et al. 2016, 2017) have been conducted on the influence of particle size on the mechanical behavior (effect of particle size on liquefaction resistance), the results have indicated that the decrease of the diameters (D10)\({\mathrm{D}}_{10}\) and (D50)\({\mathrm{D}}_{50}\) (increase of the fines fraction) reduces the liquefaction resistance. On the other hand the decrease of coefficient uniformity (Cu) improves liquefaction resistance. Belkhatir et al. (2011) found a linear relationship between liquefaction resistance and the average diameter (D50) and uniformity coefficient (Cu)\({\mathrm{C}}_{\mathrm{U}}\), however, the effect of the particle size on the compression behavior has not been studied in such a detail. Figures 13a, b and 14a, b show the effect of the particle size on the compressibility coefficients (Cc) and (Cc-s), it is observed that the coefficients (Cc) and (Cc-s) decrease exponentially with the increase of the diameter (D10) for the two cases of relative density 65% and 80% and for the two different preparation method (Dry pluviation method w = 0% and moist tamping method w = 3%), the decrease of the compressibility coefficient with the increase of the effective diameter (D10) is associated with decreasing amount of the silt in the sand, it means that silt contributes to higher compressibility of the mixture. The following expressions are suggested to evaluate the compression coefficients (Cc) and (Cc-s) which is a function of the effective diameter (D10):

$$C_{c} = a.\exp (b.D_{10} ) + c$$
(12)
$$C_{c - s} = a.\exp (b.D_{10} ) + c$$
(13)
Fig. 13
figure 13

Variation of the compression coefficients versus the effective diameter D10. (Dry pluviation method (w = 0%), a RD = 65%, b RD = 80%)

Fig. 14
figure 14

Variation of the compression coefficients versus the effective diameter D10. (Moist tamping method (w = 3%), a RD = 65%, b RD = 80%)

Tables 8 and 9 illustrate the coefficients a, b, c and the corresponding coefficient of determination (R2) of Eqs. 12 and 13 for the Chlef sand-silt mixtures under consideration.

Table 8 Coefficients a, b, c and R2 for Eq. 12
Table 9 Coefficients a, b, c and R2 for Eq. 13

3.2.2 Effect of the average diameter (D50)

Figures 15a, b and 16a, b show the variation of the compression coefficients (Cc) and (Cc-s) as a function of the average diameter (D50) for the different preparation modes, it is noted that the compression coefficients increase with the increase of the fines fraction (Fc) which leads to the decrease of the average diameter (D50), this decrease of the average diameter (D50) is due to the increase in the amount of silt in the sand, which generates higher compressibility. The following expressions are suggested to evaluate the compression coefficients (Cc) and (Cc-s) which is a function of the average diameter (D50):

$$C_{c} = a.\exp (b.D_{50} ) + c$$
(14)
$$C_{c - s} = a.\exp (b.D_{50} ) + c$$
(15)
Fig. 15
figure 15

Variation of compression coefficients versus average diameter D50. (Dry pluviation method (w = 0%), a RD = 65%, b RD = 80%)

Fig. 16
figure 16

Variation of compression coefficients versus average diameter D50. (Moist tamping method (w = 3%), a RD = 65%, b RD = 80%)

Tables 10 and 11 illustrates the coefficients a, b, c and the corresponding coefficient of determination (R2) of Eqs. 14 and 15 for the Chlef sand-silt mixtures under consideration.

Table 10 Coefficients a, b, c and R2 for Eq. 14
Table 11 Coefficients a, b, c and R2 for Eq. 15

3.2.3 Effect of uniformity coefficient (Cu)

Figures 17a, b and 18a, b show the effect of the coefficient of uniformity (Cu) on the compression coefficients (Cc). We note that the increase of the coefficient of uniformity and the fines fraction (Fc) increases the compression coefficients (Cc) and (Cc-s), this increase in compression coefficients is due to the increase in the amount of fines in the sand which increases the compressibility of the sand-silt mixtures. The following expressions are suggested to evaluate the compression coefficients (Cc) and (Cc-s) which is a function of the uniformity coefficient (Cu):

$$C_{c} = a.\exp (b.C_{u} ) + c$$
(16)
$$C_{c - s} = a.\exp (b.C_{u} ) + c$$
(17)
Fig. 17
figure 17

Variation of compression coefficients versus uniformity coefficient Cu. (Dry pluviation method (w = 0%), a RD = 65%, b RD = 80%)

Fig. 18
figure 18

Variation of compression coefficients versus uniformity coefficient Cu. (Moist tamping method (w = 3%), a RD = 65%, b RD = 80%)

Tables 12 and 13 illustrate the coefficients a, b, c and the corresponding coefficient of determination (R2) of Eq. 16 and 17 for the Chlef sand-silt mixtures under consideration.

Table 12 Coefficients a, b, c and R2 for Eq. 16
Table 13 Coefficients a, b, c and R2 for Eq. 17

4 Conclusions

A series of œdometric tests were carried out on sand-silt mixtures extracted from a liquefied site in the banks of the Chlef River (Algeria). Several parameters were investigated on mixtures of sand with 0 to 40% of silt In the first part we studied the effect of the relative density, the effect of initial water content on the sample preparation and the effect of the content of fines. Further, the effect of the particle size distribution on the compressibility behavior of the Chlef sand was evaluated. The following conclusions can be drawn:

The relative density and the initial preparation method have a significant influence on the compressibility of the soil, samples prepared with a density RD = 65% have a larger void ratios and intergranular void ratios than the samples prepared by a relative density RD = 80%, and consequently coefficients of compressibility (Cc) and (Cc-s) are higher. Samples prepared by moist tamping method (w = 3%) gave compression coefficients greater than those prepared by dry pluviation method (w = 0%). As both samples had (apart of low FC sample at high RD) similar overall void ratios, the difference in the behavior is attributed to different internal structure of the samples caused by water menisci present in w = 3% samples. It is interesting to point out that, unlike in the case of strength, where a threshold between the behavior predominantly affected by coarse fraction and behavior predominantly affected by fine fraction can be observed, the effect of FC on compressibility behavior is gradual.

The increase of the fines fraction in the sand causes larger compression coefficients (Cc) and (Cc-s). For low fines content the compression behavior is dominated by coarse grains. As the fines fraction becomes larger in the soil, the compression coefficients become also larger.

The transition fines content (Fct) is not constant and depends on the stress level and maximum void ratio calculate from parameters of hypoplastic parameters model (hs and n). It is shown from this study that the particle size influences the coefficients of compressibility (Cc) and (Cc-s).

From our results it can be said that the influence of relative density, the method of sample preparation and fines fraction on the compression behavior is similar to the liquefaction behavior, a large quantity of silt fraction in the soil has a negative effect on the soil in terms of liquefaction behavior (the studies published in the literature cited at the beginning of this paper) and compression behavior (Cc) and (Cc-s), on the other hand increased density improves the mechanical response of soils in terms of liquefaction resistance (published results in the literature) and compression behavior (this study). The particle size has a significant effect on the compression behavior, and has shown that there are exponential relationships between the compression coefficient and the diameters (D10), (D50) and the coefficient of uniformity (Cu).