Expansive soils are widely distributed in the world and particularly in tropical areas where their formation is related to contrasting seasons. Changes in volume of clayey soils represent the principal cause of damage to an important number of buildings and civil engineering works  -  . In tropical areas, the alternation of seasons (dry and rainy) promotes variations of clayey soils volume resulting in shrinkage/swelling cycles. Several studies based on laboratory tests focused on the cycling behavior of clays  -  . Many classifications of clayey soils in relation to their sensitivity to water and their swelling and shrinkage potential have been established  . Authors studied the influence of shrinkage/swelling cycles on clayey soils and showed different behaviors according to the mechanical initial state and the mineralogical composition   .
Several studies have focused on the characterization of soils by the realization of different kinds of geotechnical tests    . Most of these studies have led to the development of correlations between the physical parameters. The purpose of this study is to do, in addition to a macroscopic characterization, a microscopic scale characterization to better understand the results from macroscopic experiments. So, three clayey soils were sampled in order to be subjected to different tests. Geotechnical tests were complemented by other characterization methods that are less commonly used in civil engineering. Two classes of methods were thus jointly used: 1) measurement of macroscopic properties relying on physical test, free swelling test and compressibility test and 2) microscopic study including thermal analysis, chemical analysis, X-Ray diffraction (XRD), Environmental Scanning Electron Microscopy (ESEM) and X-Ray microanalysis. The collected information/data are cross-checked in order to have a complete understanding the most relevant characterization.
The three studied clayey soils are located in the depression of the Lama in southern Benin. Figure 1 shows the geological map of the studied area, which belongs to the coastal sedimentary basin part of the geological province known as the “Bay of Da- homey”. In this area, clayey soils, lining the bottom of the depression of the Lama, developed from the middle Eocene formations. The studied area is limited by the longitudes 1˚7 and 2˚05 east and latitudes 6˚60 and 7˚00 north. The location of the sites referred to as Lama1, Lama2 and Lama3, where the clayey soils were sampled is shown in Figure 1.
3. Macroscopic Characterization
3.1.1. Physical Tests
The following physical tests were carried out according the following standards (all test were performed assuming common French Standard): Moisture content (NF P 94-050), sieve analysis (NF P 94-056 and NF P 94-057), Atterberg limits (allowing the determination of the Plasticity Index (NF P 94-051), effective shrinkage characteristic on undisturbed soil sample (XP P 94-060-2) and methylene-blue absorption test (NF P 94-068).
Figure 1. Geological Map  and location of the sampled sites.
The Unified Soil Classification System (USCS), based on the granularity and plasticity of soils, was used  .
3.1.2. Free Swelling Test
The free swelling test consisted in soaking the material, sieving it under water through a sieve of 400 microns, and drying it in an oven at 105˚C. Then, 2 g of dry powder was introduced into a measuring cylinder and its initial volume (Vinitial) was determined. The sample was last introduced into a test tube containing water: the final volume was measured after 24 hours (Vafter24h).
This test is based on the same principle as the measure of the free swelling index according to the XP P 84-703 standard. Using this principle  , Haas et al. obtained reliable measurement which could be correlated to the type of the clay minerals and to methylene blue values.
3.1.3. Compressibility Tests
Compressibility tests were performed according to the NF P 94-090-1 standard. The test specimen was introduced into a cylindrical-shaped cell and flooded by water under a stress corresponding to the weight of the piston. Once the swelling deformation was stabilized, loading was performed incrementally (50, 100, 200 and 400 kPa) and was followed by unloading down to 50 kPa. Then loading was increased up to 800 kPa and the sample was last unloaded. The measurement acquisition was made using several sensors connected to a data acquisition system (ELE Geotechnical Software DS7). The parameters to be derived from the compressibility curves of unsaturated soil are the initial void ratio (e0), the compression index (Cc) and the swelling coefficient (Cs). The compression index (Cc) is the slope of the second linear portion of the loading curve showing the void ratio (e) vs. the logarithm of the effective pressure (p). Cc specifies the sensitivity of soil compaction along that curve. The swelling coefficient (Cs) reports the susceptibility of a clayey soil swelling. It is the slope of linear part of the curve of the final unloading showing e vs. log (p).
3.2.1. Physical Tests
Figure 2. Particle size curves.
Table 1. Identification parameters.
3.2.2. Free Swelling Test
Results obtained by free swelling test are summarized in Table 2.
Lama3 shows the heaviest with the lowest free swelling index, Lama1 has the highest value and Lama2 is compromised.
3.2.3. Compressibility Tests
Table 2. Test results of free swelling test.
Figure 3. Compressibility curves.
Table 3. Compressibility parameters.
Compared to Lama1 and Lama3, the void ratio value for Lama2 is very important, which leads to the highest values for compression index (Cc) and swelling coefficient
(Cs). However, the ratio is virtually the same for Lama1 and Lama2.
All these results based on macroscopic observations revealed therefore an unexpected behavior for Lama1 and Lama2, which could not be explained by only geotechnical and standard classification of clayey soils. Indeed, the results of the free swelling test are not in line with the results of physical testing and compressibility testing. Lama1 shows the highest free swelling index while the compressibility tests reveal that Lama1 has moderate swelling coefficient Cs. Lama2 behaves the reverse way and shows a moderate free swelling index (Fs) and a quite high swelling coefficient (Cs). In addition, Lama2 shows the
highest plasticity index. Last, the compressibility tests lead to a similar ratio for
Lama1 and Lama2. So, under “free swelling conditions” (free swelling index), Lama1 swells more than Lama2 does. When loading and unloading the samples, an opposite
trend is observed: Lama2 swells (Cs) more than Lama1 does. The ratio being the
same for the two samples, Lama2 is more compressible (Cc) than Lama1. As the samples are actually natural clayey soils, one may assert that one component entering in the composition of the samples is responsible for the observed trends. In this respect, the samples are investigated at the microscopic scale in the next section with special emphasis given to their mineralogical composition and their microstructure.
4. Microscopic Characterization
Several complementary methods of analysis were performed in order to explain the different trends reported above.
4.1.1. Differential Thermal Analysis and Thermal Gravimetric Analysis
The analyses were carried out simultaneous between 30˚ and 1000˚C under a stream of argon using a NETZSCH STA 409 device. The heating rate was 10˚C/min. The thermocouple is of S type supporting alumina crucibles of 50 µl, scanned at a rate of 60 ml/min with argon.
4.1.2. Chemical Analysis
Mass content of chemical elements were determined with an Inductively Coupled Plasma-Optical Emission Spectrometer (ICP-OES) at the “Service d’Analyse, des Roches et des Minéraux (SARM)” of Nancy on the fine fraction (diameter < 80 microns). Test specimens were fused in Pt crucibles along with ultra-pure LiBO2 at 980˚C and were passed into a motorized tunnel oven at constant speed during 60 minutes  . The quantification of the elements is based on the principle of nebulization and ionization of the sample liquid (acidic solution treatment) in an argon plasma (6000˚C - 8000˚C).
4.1.3. X-Ray Diffraction
Soil mineralogy was also determined by X-ray diffraction (XRD) analysis. The spectra were collected on a PANalitycal PW3020 Bragg-Brentano θ - 2θ geometry diffractometer equipped with a secondary monochromator over an angular range 2θ = 3˚ − 80˚. The Cu-Kα Diffraction was generated at 45 kV and 40 mA (lambda = 0.15418 nm). Peaks present in these diagrams were identified using the embedded database (the “Powder Diffraction File”) under the EVA processing software. The semi-quantifica- tion of the mineral composition as derived from the diffraction peak area was made using the EVA software BRUKER-AXS®  .
4.1.4. Environmental Scanning Electron Microscopy (ESEM) and X-Ray Energy Dispersive Spectrometry (EDS)
Secondary electrons and backscattered electrons images were obtained (in low vacuum) using a Field Emission Gun (FEG) FEI Quanta 250 Environmental Scanning Electron Microscope (ESEM). Semi-quantitative chemical analyses using an Edax Apollo XL X- ray Energy Dispersive Spectrometer (EDS) were performed to complete the mineral characterization. For every sample, a 2D X-ray map was acquired over the whole surface of the sample with the EDS spectrometer. X-ray mapping consisted in rastering over the whole map area storing the entire spectral information for every pixel location in the image. From these X-ray data, reconstitution of the main mineral phases using a statistical method available under the EDAX Genesis Software was made.
4.2.1. Differential Thermal Analysis (DTA) and Thermal Gravimetric Analysis (TG)
The DTA and TG curves are shown in Figure 4. For Lama1 the DTA curve showed essentially peak at 485˚C characteristic of kaolinite and a peak at 766˚C characteristic of smectite. Lama2 DTA curve showed two mains peaks (124˚C and 484˚C) below 600˚C which are characteristic of fibrous clays   . For Lama3, we note on the DTA curve a peak at 491˚C corresponding to kaolinite. This curves suggested that the three samples do not include the same clays. The analyses presented in what follows aimed at identifying the presence of other compounds such as silica, oxides that are expected to enter into the composition of these clayey soils.
4.2.2. Chemical Analysis
The results obtained on the three samples are summarized in Table 4.
The quantification of the ICP-OES data highlighted themajor components in their oxidized forms: SiO2, Al2O3, Fe2O3, MgO and H2O. The lower H2O and MgO content in Lama3 compared to Lama1 and Lama2 supports the DTA results: a clay content for Lama3 dominated by kaolinite and a clay content for Lama1 and Lama2 dominated by smectite and fibrous clay, respectively. Note that the higher content in iron oxides and titanium oxides that typifies Lama3 strengthens the mechanical properties of this clayey soils.
Figure 4. Thermo gravimetric analysis (TG) and differential thermal analysis (DTA) curves.
Table 4. Chemical composition of the studied clayey soils (ICP-OES).
4.2.3. X-Ray Diffraction
The acquired X-ray diffraction patterns are shown in Figure 5. The diffractograms indicated that the main minerals are: quartz, kaolinite, palygorskite, smectite, and goethite.
With the EVA software, the relative abundance of each identified mineral was estimated semi-quantitatively taking into account the net area of the peaks in the diffraction pattern. According to this method, the samples were characterized as follow:
・ Lama1: 40% of quartz, 41% of smectite, 14% of kaolinite, 3% of goethite and 2% of anatase.
・ Lama2: 86% of palygorskite, 7% of kaolinite, 3% of smectite, 2% of quartz, and 2% of muscovite.
・ Lama3: 55 % of quartz, 39% of kaolinite, and 6% of goethite.
Lama3 is clearly a mix of quartz and kaolinite enriched in iron oxides (goethite FeO(OH)). This is consistent with its low free swelling index (Fs) and its low compression index (Cc) and swelling coefficient (Cs) compared to the other samples (Lama1 and Lama2). XRD result also reveals that Lama2 basically is a clay mixture largely dominated by palygorskite which is a fibrous clay. At the opposite, Lama1 is a clayey soil dominated by quartz and smectite.
4.2.4. Environmental Scanning Electrum Microscopy (ESEM) and X-Ray Energy Dispersive Spectrometry (EDS)
ESEM images along with the corresponding X-Ray EDS chemical maps are shown in Figures 6-8.
Figure 6(b) is a low magnification BSE image of Lama1 revealing a granular arran- gement. The statistical analysis of the X-Ray EDS mapping data determined two main phases (Figure 6(c)). The mineralogical interpretation of the quantification on the
Figure 5. X-Ray Diffraction patterns of the three samples.
(a) (b) (c)(d) (e)
Figure 6. Sample Lama1. (a) Secondary Electron (SE) high magnification image; (b) Back Scattered Electrons (BSE) low magnification image; (c) Statistical analysis of the X-ray spectral mapping data; (d) Average phase spectrum of the dominant phase (blue pattern in (c); (e) Average phase spectrum of the second phase (red pattern in (c)).
Figure 7(b) is a low magnification BSE image of Lama2. When zooming within this image, a fibrous structure with quite large inter fiber voids cf. e.g., Figure 7(a), is systematically seeing. This explain the very low density of this sample (Table 1). The statistical analysis of the X-ray EDS mapping data reveals quite consistently a single phase represented in blue in Figure 7(c) (the green patterns represent inter particle voids not accessible to the X-ray analysis due to an important relief). The phase spectrum of this blue phase is given in Figure 7(d) along with the atomic % quantification. The mineralogical interpretation reveals unambiguously that this blue phase is an almost pure palygorskite.
The low magnification BSE image in Figure 8(b) of Lama3 shows a heterogeneous structure including large grains intermingled within a more continuous matrix. The high resolution image within the “matrix” Figure 8(a) shows a booklet-shaped particle whose texture supports the matrix is made up of kaolinite (as supported by XRD and DTA data). The statistical analysis of the X-Ray EDS mapping data highlights two main
(a) (b) (c)(d)
Figure 7. Sample Lama2. (a) SE high magnification image; (b) BSE low magnification image; (c) Statistical analysis of the X-ray spectral mapping data; (d) Average phase spectrum of the dominant phase (blue pattern in (c)).
(a) (b) (c)(d) (e)
Figure 8. Sample Lama3. (a) SE high magnification image; (b) BSE low magnification image; (c) Statistical analysis of the X-ray spectral mapping data; (d) Average phase spectrum of the blue phase in (c); (e) Average phase spectrum of the second phase (red pattern in (c)).
phases represented in blue and red in Figure 8(c). The spectrum associated to the blue phase in Figure 8(c) is provided in Figure 8(e) along its atomic % quantification. The mineralogical interpretation of At% quantification shows unambiguously that the blue phase is dominated by kaolinite (phase area%: 66) along with quartz (10%) and goethite (10%). The red phase is dominated by quartz (phase area %: 50.5) along with kaolinite (33.5%) and goethite (6.1%).
By combining thermal analysis, ICP-OES chemical analysis, XRD characterization, SEM observations complementary X-ray EDS analyses, the mineral components of the three soils have been identified. Lama1 is a clayey soil containing predominately quartz grain, smectite and goethite. Lama2 is basically a fibrous clay, namely palygorskite. Lama3 is a clayey soil in the form of a mix of quartz and kaolinite along with goethite.
Smectite, palygorskite and kaolinite are all phyllosilicate. Kaolinite is nonswelling and palygorskite is typified by a moderate swelling capacity, whereas smectite is a swelling clay. More precisely, smectite have very weak interlayer boards and have the property of binding water molecules between two adjacent layers. The water in the clay particles is arranged into monolayers  . Such intra particle swelling takes place therefore at a very fine intra particle scale but has a large scale expression. This distinction feature is responsible for the very high free swelling index (Fs) of Lama1 compared to Lama2 and Lama3. Kaolinite has a low shrinkage-swelling capacity due to very strong hydrogen bonds between the layers, which furthermore allow large stacks of sheets. This property combined with the presence of quartz explain the low free swelling index (Fs) and the low compression index (Cc) and swelling coefficient (Cs) that typified the compressibility test for this clayey soil. At the very fine scale, fibrous clays like palygorskite exhibit a hollow bricks structure, which forms channels. Palygorskite is a modulated phyllosilicate made up of layer ribbons connected by tetrahedral inversion resulting in zeolite like tunnels  . The distinctive feature of these minerals is that they show a three-di- mensional structure compared to the other phyllosilicate. Therefore, swelling of fibrous clays is limited  . This property explains that Lama2 shows an intermediate free swelling index compared to Lama1 and Lama3. Note that at a larger scale cf. e.g. Figure 7(a), Lama2 shows large inter fiber voids that can be filled with water. Such inter fiber water contributes to the free swelling index (Fs) of Lama2 but its macroscopic expression remains moderate compared to that one of a swelling clay like smectite. For Lama1 and Lama2, the trends observed for the free swelling test change during the compressibility test. The relatively low values of Cc and Cs for Lama1 is mainly explained by the role played by the packing of quartz grains which limits the compressibility under loading and expansion during unloading. Goethite, which binds quartz grains, acts in the same way. The quite large values of Cc and Cs for Lama2 is chiefly the consequence of the inter fiber porosity which is quite high. The high Cc of Lama2 is due to a loss of porosity during loading and its high Cs is due to that inter fiber voids are partly recovered during unloading. In other words, for Lama1 the quartz grains binder goethite acts as a reinforcing frame. The geotechnical properties are therefore mostly explained by the quartz stiffness rather than by the swelling clay. For Lama2, it is both the inter fiber porosity and the clay self that explain the high values for Cc and Cs.
Geotechnical tests on three clayey soils reveal the results of physical and compressibility tests appear not to be consistent with the free swelling test results. These natural clayey soils showing a different microscopic characterization: indeed, the microscopic analyses that were performed allowed to specify the nature of the clay minerals that compose them. Likewise, the X-ray EDS chemical mapping revealed the dominant mineralogical phases in every soil and explained the behavior of the samples at the macroscopic level. As to the mineralogy, the studied samples turned out to be principally three types of clay minerals: palygorskite, smectite and kaolinite. In terms of swelling mineral content, Lama3 was the one of the lowest content.
The behaviors of Lama1 and Lama2 were compared by focusing on compressibility, free swelling and physical tests, which highlighted differences in the behaviors of the two samples. The above coupled analysis highlighted some important relationships between their underlying microscopic and their geotechnical properties. Altogether, from the geotechnical point of view, Lama1 (dominantly smectite) and Lama2 (fibrous) behaved as a clayey soils but showed contrasting mechanical/geotechnical properties, which were difficult to understand consistently from the only geotechnical viewpoint. Important differences between Lama1 and Lama2 were revealed from the viewpoint offered by thermal analysis, ICP-OES chemical analysis, XRD characterization, SEM observations complementary X-ray EDS analyses. These differences at the microscopic scale did explained the different trends observed at the macroscopic scale.
To complete this study that combines microscopic and macroscopic aspects of clayey soils, other samples will be subjected to various tests. From the data that are thus formed, a classification of clayey soils, based on the free swelling test can be developed.
The authors wish to express their thanks to the X-ray Service of the Institute of Condensed Matter Chemistry of Bordeaux (ICMCB-CNRS). As to the equipment used for the microscopic analyses, the authors thank the European Union, which promotes the Aquitaine region (France) with the European Regional Development (FEDER) Fund.
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