5.1. Effects of TDA on Soil Compactability
Figure 2 illustrates the variations of the compaction optimum water content
wopt and maximum dry unit weight
γdmax against TDA content
fT for the tested mix designs. For any given TDA size, the greater the TDA content, the lower the soil compaction characteristics, with both
wopt and
γdmax following monotonically decreasing trends. The unamended test soil, referred to as “control” in
Figure 2, resulted in
γdmax = 17.0 kN/m
3 for
wopt = 19.5%. As typical cases highlighting the effects of TDA content; the addition of 5%, 10% and 20% TDA-M produced lower values of 16.3 kN/m
3, 15.9 kN/m
3 and 15.3 kN/m
3 for
γdmax, and 18.2%, 17.1% and 15.0% for
wopt, respectively. Similarly, for any given TDA content, an increase in TDA size led to a further, yet less pronounced, decrease in the values of
γdmax and
wopt. For instance, the mix designs containing 10% TDA-F, TDA-M and TDA-C resulted in
γdmax = 16.1 kN/m
3, 15.9 kN/m
3 and 15.5 kN/m
3 (corresponding to
wopt = 17.5%, 17.1% and 16.6%), respectively. The rates of decrease in
γdmax (in kN/m
3) and
wopt (in %) with respect to 5% ≤
fT ≤ 20%—represented by the slope of a linear trendline fitted through a desired
γdmax–
fT or
wopt–
fT dataset—were calculated as
RTM = Δ
γdmax/Δ
fT = −0.06, −0.07 and −0.07 (see
Figure 2b), and
RTO = Δ
wopt/Δ
fT = −0.21, −0.21 and −0.19 (see
Figure 2a) for TDA-F, TDA-M and TDA-C, respectively. These values indicate that, for the three TDA materials examined in this study (see
Figure 1), the rates of reduction in the compaction
γdmax and
wopt parameters are substantially independent of the TDA gradation (or
D50T).
The observed reductions in the maximum dry unit weight encourage the use of TDA-based materials as a lightweight earth-fill alternative compared to traditional quarried materials (e.g., sands and gravels). The TDA materials’ lower specific gravity and hydrophobic character (water adsorption capacity < 4%) compared with those of the soil solids, and clay particles in particular, elucidate the observed reductions in the compaction characteristics [
25,
28,
40]. Because of their high energy absorption capacity, the compacted TDA particles may gradually recover their initial (uncompacted) shapes by way of a so-called “elastic rebound” effect, thereby reducing the efficiency of the compactive effort and hence producing lower maximum dry unit weights [
41]. In this regard, the larger the TDA particles, the higher their energy absorption capacity, and thus the more pronounced their elastic-rebound recovery.
Figure 3a illustrates the variations of
γdmax against
wopt “the path of optimums” for the tested mix designs. As demonstrated in the figure, the optimum points followed a linear path, which can be expressed as
γdmax = 0.373
wopt + 9.55 (with R
2 = 0.956), somewhat perpendicular to the test soil’s zero air-voids (ZAV) saturation line. Similarly, the observed linear path of optimums was found to be perpendicular to that commonly reported for natural fine-grained soils (with varying coarse fractions) tested under the same standard Proctor conditions—that is,
γdmax = −0.260
wopt + 21.61 [
42]. For a natural fine-grained soil, the addition of a coarse fraction (>75 μm) leads to an “upward–leftward” translation of the compaction curve, and hence the optimum point, over the
γd:
w space. For the soil–TDA blends, however, an increase in TDA content, which for the present investigation is essentially similar to increasing the soil coarse fraction, promotes a “downward–leftward” translation of the optimum point. This discrepancy can be attributed to the lower specific gravity of the TDA materials (i.e.,
GsT = 1.08, 1.10 and 1.11 for TDA-F, TDA-M and TDA-C, respectively; see
Table 2) compared to that of soil solids (i.e.,
GsS = 2.77; see
Table 1). To achieve a more familiar visualization of the compaction characteristics of TDA-based blends, consistent with the traditionally understood soil compaction framework, the maximum dry unit weight and optimum water content for the soil–TDA blends should be redefined as follows [
43,
44]:
where
γdmaxN = normalized maximum dry unit weight;
woptN = normalized optimum water content;
GsS = specific gravity of soil solids (=2.77, as reported in
Table 1); and
GsM = specific gravity of the soil–TDA blends, obtained by Equation (1) and reported in
Table 3.
Figure 3b illustrates the variations of
γdmaxN against
woptN for the tested mix designs. As expected, the normalized compaction parameters were found to follow a path which can be expressed as
γdmaxN = −0.293
woptN + 22.52 (with R
2 = 0.768), similar to that of natural fine-grained soils.
5.2. Effects of TDA on Swelling Potential
Figure 4 illustrates typical swell–time relationships—plotted over the
εsw:Log
t space (where
εsw = axial swelling strain, and
t = elapsed time of swelling)—for the unamended test soil (control) and various TDA-blended samples. The swell–time relationships were found to follow
S-shaped paths, thereby suggesting the existence of three distinct phases during swell evolvement. For ease of presentation and analysis, the
S-shaped swell–time path was represented using the rectangular hyperbola function, which can be expressed as follows [
14,
39,
45]:
where
εsw(
t) = axial swelling strain (in %) with respect to the elapsed time of swelling
t (in min); and
α and
β = fitting parameters (
α in %
−1min, and
β in %
−1). It should be noted that
t =
α/
β and
εsw = 1/2
β represent the curve’s inflection point over the
εsw:Log
t space.
The regression analyses outputs with respect to Equation (4) are summarized in
Table 4. The rate of swelling with respect to the elapsed time can be obtained as the first derivative of Equation (4) with respect to Log
t [
46]:
where
Rsw(
t) = rate of swelling (in %) with respect to the elapsed time of swelling
t (in min).
As demonstrated in
Figure 4, the swelling process entails three distinct stages—that is, initial, primary and secondary swelling [
3,
26,
39,
45,
47]. The initial swelling (ISW) phase, often referred to as intervoid swelling, takes place at the macrostructural level where active clay minerals, such as montmorillonite, expand within the soil interassemblage voids. It progresses until such time that the interassemblage voids are no longer capable of accommodating further clay mineral expansion. As such, this first swelling phase is normally associated with a relatively minor swelling strain, often less than 10% of the ultimate swelling strain (or swelling potential). The primary swelling (PSW) phase progresses at the microstructural level. It is graphically represented by a steep-sloped linear segment over the
εsw:Log
t space, and thus signifies a substantially steady rate of swelling with respect to the elapsed time. This swelling phase often accounts for up to 80% of the swelling potential. The secondary swelling (SSW) phase also evolves at the microstructural level, taking place as a result of double-layer repulsion, and accounts for small time-dependent increases in the soil volume.
In view of the above, the swelling rate
Rsw(
t) was found to develop into a bell-shaped curve, peaking within the PSW region (at the inflection point of the
S-shaped curve) and then decreasing as the swelling process transitions from the PSW to the SSW stage. Referring to
Figure 4a, which highlights the effects of TDA content on the swell–time behavior; at any given elapsed time of swelling, the greater the TDA content, the lower the magnitude and rate of swelling. Similarly, for any given TDA content, an increase in TDA size was found to decrease the soil’s swelling strain magnitude and rate, albeit to lesser degrees (see
Figure 4b). Unlike TDA content, the role of TDA gradation/size in reducing the rate of swelling was notable only within the ISW and PSW regions; for the SSW stage, the rate of swelling for the three TDA gradations examined in this study (see
Figure 1) was found to be rather similar. As demonstrated in
Figure 4a, for any given TDA size, changes in the TDA content within the investigated range of 5% ≤
fT ≤ 20% did not significantly affect the time required to achieve the maximum swelling rate. On the contrary, the coarser the TDA material, the longer the time required to attain the maximum swelling rate (see
Figure 4b).
Figure 5a illustrates the variations of the ultimate swelling strain, i.e., swelling potential
SP, against TDA content for the tested mix designs. For any given TDA size, the greater the TDA content, the lower the swelling potential, following a monotonically decreasing trend. The unamended soil sample (control) resulted in
SP = 7.54%. As typical cases highlighting the effects of TDA content; the use of 5%, 10% and 20% TDA-M led to lower values of 5.55%, 4.21% and 2.82%, respectively. Similarly, an increase in TDA size (for any given TDA content) led to a further, yet less pronounced, decrease in the soil’s swelling potential. For instance, the samples blended with 10% TDA-F, TDA-M and TDA-C resulted in
SP = 4.80%, 4.21% and 3.65%, respectively. The rate of decrease in
SP with respect to 5% ≤
fT ≤ 20% was calculated as
RTS = Δ
SP/Δ
fT = −0.18, −0.18 and −0.19 for TDA-F, TDA-M and TDA-C, respectively. Accordingly, for the three TDA gradations examined in this study (see
Figure 1), the rate of reduction in swelling potential is independent of the TDA size (or
D50T).
In view of the three swelling stages described above, the swelling potential can be subdivided into the initial, primary and secondary swelling strains—that is,
SP =
εisw +
εpsw +
εssw.
Figure 5b illustrates the variations of
εisw,
εpsw and
εssw against TDA content for the tested mix designs. In general, the variations of the initial, primary and secondary swelling strains were all found to follow a trend similar to that observed for the swelling potential. The swelling potential can be employed to specify the soil degree of expansivity [
38]. Corresponding classifications for the unamended soil and various TDA-blended samples—obtained in accordance with the classification framework suggested by Seed et al. [
36] (see
Table A1 of
Appendix A)—are outlined in
Figure 5. The unamended soil sample can be classified as “highly expansive”. The samples containing 5% TDA-F and TDA-M produced the same “highly expansive” classification, whereas the addition of 5% TDA-C led to an improved classification of “moderately expansive”. Beyond 5% TDA, regardless of the TDA size investigated, all samples were found to be “moderately expansive”.
It is customary to interpret the time-dependent nature of the swelling phenomenon by means of the primary and secondary swelling coefficients, i.e.,
Cpsw and
Cssw, respectively. These two coefficients can be defined as follows [
26,
39]:
where
tisw,
tpsw and
tssw = completion times (from
t = 0) of the ISW, PSW and SSW stages, respectively; and
εpsw and
εssw = primary and secondary swelling strains, respectively (data provided in
Figure 5b).
Making use of Equations (4) and (5), along with basic geometrical laws, the parameters
tisw and
tpsw can be quantified using the following explicit relationships (values presented in
Table 4) [
46]:
where
εsw(
t0) and
Rsw(
t0) = axial swelling strain and rate of swelling at the start time of recording, which can be obtained by substituting
t0 = 1 min into Equations (4) and (5), respectively; and
εsw(
t1) and
Rsw(
t1) = axial swelling strain and rate of swelling at the end time of recording, which can be obtained by substituting
t1 =
tssw = 10,080 min into Equations (4) and (5), respectively.
Figure 6a,b illustrates the variations of
Cpsw and
Cssw against TDA content for the tested mix designs. Much like the swelling potential, for any given TDA size, the greater the TDA content, the lower the swelling coefficients, further confirming the TDA materials’ capability to counteract the heave in both magnitude and rate (e.g., see the trend curves “TDA-M” in
Figure 6). As typical cases, the unamended soil and various TDA-blended samples prepared with 5%, 10% and 20% TDA-M resulted in
Cpsw = 3.46%, 2.57%, 1.96% and 1.31%, and
Cssw = 1.02%, 0.74%, 0.56% and 0.41%, respectively. For any given TDA content, the tendency for reduction in the
Cpsw parameter was in favor of larger TDA sizes (see the arrowed lines in
Figure 6a). The same, however, was not observed for
Cssw, as the effects of TDA gradation (or
D50T) was found to be rather marginal (see the arrowed lines in
Figure 6b). For instance, the samples blended with 10% TDA-F, TDA-M and TDA-C resulted in
Cpsw = 2.22%, 1.96% and 1.74%, and
Cssw = 0.60%, 0.56% and 0.59%, respectively. It should be noted that these observations are in agreement with the observed general trends for the
Rsw(
t) parameter in
Figure 4.
5.3. Effect of TDA on Soil Compressive Strength
Typical stress–strain curves for the unamended soil (control) and various TDA-blended samples prepared with TDA-M are presented in
Figure 7a. The constitutive response for the unamended soil sample exhibited a rise–fall trace with a visually-identifiable peak point, signifying a strain-softening behavior leading to a brittle failure mode. As a result of increasing the TDA content, the stress–strain locus progressively transitioned towards a strain-hardening (or more ductile) character, as reflected in the axial strain at peak parameter increasing in magnitude with the TDA content (follow the arrowed lines in
Figure 7a). This transitional mechanism can be ascribed to the lower stiffness and higher deformability of the soil solids–TDA agglomerations compared with that of the aggregated soil solids of the unamended soil (control) [
2,
21,
28]. Referring to
Figure 7b, which highlights the effects of TDA gradation on the stress–strain response; an increase in TDA size was also found to enhance the soil’s axial strain at peak and hence its strain-hardening character (see the arrowed line in
Figure 7b).
Figure 8a illustrates the variations of the UCS
qu against TDA content for the tested mix designs. For any given TDA size, the variations of the UCS parameter with respect to TDA content demonstrated a rise–fall relationship, peaking at
fT = 5% and then decreasing for higher TDA contents. Although the highest UCS values were recorded for
fT = 5%, the samples prepared with 10% TDA-M and TDA-C were still able to outperform (in terms of mobilized UCS) the unamended soil by comfortable margins. The addition of 10% TDA-F, however, produced a UCS similar to that obtained for the unamended soil. The samples containing 20% TDA-F and TDA-M were found to produce markedly lower UCS values compared with that of the unamended soil, while the same 20% inclusion of TDA-C was essentially on par with the unamended soil. As typical cases, the unamended soil and various TDA-blended samples containing 5%, 10% and 20% TDA-M resulted in
qu = 126.7 kPa, 210.2 kPa, 180.7 kPa and 101.4 kPa, respectively. For any given TDA content, an increase in TDA size promoted a notable improvement in the UCS, hence indicating a TDA size-dependent amending mechanism. For instance, the samples blended with 10% TDA-F, TDA-M and TDA-C produced UCS values of 123.1 kPa, 180.7 kPa and 194.9 kPa, respectively.
Improvement in composite ductility is often interpreted by means of the deformability index. For the problem at hand, the deformability index
ID can be defined as follows [
2,
48]:
where
εuN = axial strain at peak for the unamended soil sample (=1.1%, as shown in
Figure 7); and
εuT = axial strain at peak for the TDA-blended sample.
The variations of the deformability index against TDA content for the tested mix designs are presented in
Figure 8b. Unlike the UCS, the deformability index exhibited a monotonically increasing trend with the TDA content, and as such, the greater the TDA content, the more ductile the soil’s response to unconfined compression. By definition, the unamended soil sample has a deformability index of
ID = 1.0 (
εuN = 1.1%). As typical cases, the samples prepared with 5%, 10% and 20% TDA-M resulted in
ID = 3.4, 4.7 and 7.0 (
εuT = 3.7%, 5.2% and 7.7%), respectively. Interestingly, an increase in TDA size was also found to considerably enhance composite ductility. For instance, the samples blended with 10% TDA-F, TDA-M and TDA-C resulted in
ID = 4.2, 4.7 and 6.5 (
εuT = 4.6%, 5.2% and 7.1%), respectively.
Figure 9a illustrates the variations of the elastic stiffness modulus
E50—defined as the secant modulus at 50% of the UCS [
49]—against TDA content for the tested mix designs. In general, the variations of the
E50 parameter exhibited a trend similar to that observed for the deformability index (or axial strain at peak); however, in an adverse manner. As such, the greater the TDA content and/or the coarser its particles, the lower the developed stiffness, attributed to the lower stiffness of the soil solids–TDA agglomerations compared with that of the aggregated soil solids of the unamended soil (control) [
2,
21,
28]. The unamended soil sample resulted in
E50 = 18.7 MPa. When blended with 5%, 10% and 20% TDA-M, for instance, the
E50 parameter dropped to 9.6 MPa, 7.6 MPa and 3.5 MPa, respectively. Similarly, the samples prepared with 10% TDA-F, TDA-M and TDA-C produced
E50 values of 9.5 MPa, 7.6 MPa and 5.3 MPa, respectively.
The variations of peak strain energy
Eu—defined as the area under the stress–strain curve up to mobilization of the UCS or
qu (e.g., see the shaded area for 20% TDA-M in
Figure 7a), which signifies the sample’s energy absorption capacity, and hence its toughness, up to that point [
50]—against TDA content for the tested mix designs are presented in
Figure 9b. Simpson’s rule for numerical integration was used to calculate the area under the stress–strain curve up to mobilization of the UCS (and hence the
Eu parameter). It should be mentioned that, with the axial stress
σa in kPa and the dimensionless form of the axial strain
εa (i.e., not in %) used in these calculations, the
Eu parameter is obtained in kPa. By definition, an increase in toughness can be achieved by increases in the UCS and/or the axial strain at peak [
17,
51]. As demonstrated in
Figure 8, the deformability index (and hence the axial strain at peak) was consistently in favor of higher TDA contents, whereas TDA contents greater than 5% adversely influenced the UCS. In view of these opposing actions, for any given TDA size, the role of TDA content in improving the toughness was positive only up to a certain (or optimum) content, beyond which the toughness exhibited a decreasing trend with the TDA content. In this regard, the optimum TDA content was found to be 5% for TDA-C, and 10% for both TDA-M and TDA-F (see the dotted squares denoted as “Transition” in
Figure 9b). These results indicate that the magnitude of reduction associated with the UCS at
fT > 5% for TDA-C and
fT > 10% for both TDA-M and TDA-F outweighed the magnitude of improvement associated with the axial strain at peak (or deformability index). Moreover, for any given TDA content, an increase in TDA size enhanced composite toughness by way of increasing both the UCS and the axial strain at peak—that is, the coarser the TDA particles, the higher the UCS and ductility of the soil–TDA blends (see
Figure 8). The unamended soil sample resulted in
Eu = 0.9 kPa. When blended with 5%, 10% and 20% TDA-M, for instance, the peak strain energy changed to 5.5 kPa, 6.8 kPa and 5.8 kPa, respectively. As typical cases highlighting the positive effects of TDA size, the samples prepared with 10% TDA-F, TDA-M and TDA-C produced
Eu values of 4.6 kPa, 6.8 kPa and 9.7 kPa, respectively.
5.4. Soil–TDA Interactions
Previous studies have mainly discussed clay–TDA interactions in a way similar to that of clay–sand mixtures, attempting to link the variations of the UCS to changes in cohesion and friction. However, the terminologies employed in this context, such as “interparticle cohesion” and “interparticle friction”, are often vague, as they do not explicitly clarify which components of the TDA-blended composite are actually involved in the development of cohesion and friction [
2,
23,
28,
29,
35]. Conventionally, for clay–sand mixtures, the loss of cohesion at low sand contents is often small, while the increase in friction can be high; consequently, the UCS can increase. As the sand content increases, the loss of cohesion becomes more significant and begins to dominate the increase in friction, such that the UCS begins to decrease [
52,
53,
54,
55].
Quite clearly, there are significant differences between clay–sand mixtures and the examined clay–TDA blends in the present investigation. Firstly, for the sample preparation method employed here (and with the 5–20% TDA contents), on water addition, the dry-mixed soil and TDA particles aggregate, forming soil–TDA agglomerations, such that the TDA particles can be visualized as embedded coarse-grained “isolated solid inclusions”. Secondly, the embedded TDA particles themselves have greater deformability (or lower rigidity) compared to that of the soil solids, considering these mixtures are compacted at optimum conditions, such that compared with individual soil agglomerations (0% TDA), individual soil–TDA agglomerations possess substantially lower stiffness. This significant mismatch in relative stiffness between the soil solids and embedded TDAs gives the soil–TDA agglomerations a so-called “friable” nature, such that in unconfined compression, the soil–TDA samples undergo greater radial expansion (producing greater values of axial strain at peak), and mobilize lower
E50 values (see
Figure 8b and
Figure 9a). Consequently, a new take on the clay–sand mixture analogy is required to explain the rise–fall behavior of the UCS with respect to TDA content, as well as the effects of TDA size, observed in the present experimental investigation.
Starting with 0% TDA, the UCS capacity mobilized due to cohesion of the soil solids matrix (soil undrained strength) reduces with increasing TDA content, such that for the limiting case—that is, a 100% TDA sample—and soil with very high TDA contents (>>20%), the resistance capacity resulting from frictional (granular) behavior provided by the skeleton of contacting TDA particles would mobilize negligible UCS. Accordingly, a 100% TDA sample and soil with very high TDA contents (>>20%) would have negligible
E50. In transitioning from these dominant “cohesive” to “frictional” type behaviors, an intermediate scenario occurs whereby the UCS capacity, when considered at the soil–TDA agglomeration-scale level, is provided by the combination of the cohesion resistance of its soil solids matrix and an adhesion resistance (interface undrained strength) developed at the surfaces of the isolated embedded TDA particles. Since the adhesion resistance (soil–TDA interface) is less than the cohesion resistance (soil–soil interface), compared to the overall cohesion resistance of an individual soil agglomeration (0% TDA), the combined cohesion–adhesion resistances for the soil–TDA agglomeration would be lower overall and progressively reduces with increasing TDA content. In terms of deformability behavior, one could postulate that, for the compacted mixture with a given TDA content, the stiffness of individual soil–TDA agglomerations is dominated by the stiffness contribution of the soil solids matrix, such that agglomerations containing more smaller-sized embedded TDA particles have greater overall stiffness compared to those containing fewer larger-sized (and with higher deformability) TDAs. Further, beyond a certain TDA content, the stress–strain–strength response at some points within the TDA-blended sample may be governed by a dominant TDA-to-TDA particles’ interaction [
28,
33,
56], so-called “TDA-clustering”, which adversely affects the mobilized UCS, analogous to the “frictional” behavior with very high TDA contents described earlier.
For those soil–TDA mixtures where the mobilized UCS was greater than that of the unamended soil (control), “arching” between large TDA inclusions within the soil–TDA agglomerations is proposed as the governing mechanism—with the positive effects of arching dominant compared with the negative effects of the cohesion–adhesion mechanism described above. In this regard, the relative size of the TDA particles in relation to that of the soil–TDA agglomerations, and the number of these inclusions, are likely important factors. Up to a certain limiting size and TDA content, the larger their relative size, the greater the arching effects, such that this could explain the greater UCS mobilized for the soil agglomerations containing 5% TDA-C. In other words, for 5% TDA content, fewer larger-sized embedded TDA-C particles produce a better outcome in terms of arching effects (and hence UCS) compared to more smaller-sized TDA-F particles. Compared to 5% TDA, although the arching effects are greater for 10% and 20% TDA contents; as explained above, the adverse impact with increasing TDA content of the cohesion–adhesion mechanism produces lower overall UCS values for these samples. As such, for 10% TDA-C and TDA-M, which are also higher in terms of UCS compared with the unamended soil (see
Figure 8a), the arching effects are still dominant compared to the cohesion–adhesion effects. For 10% TDA-F, however, these mechanisms seem to produce equal but counteracting results; hence, the UCS is similar to that of the unamended soil. In order to verify the postulated soil–TDA interactions described above, additional tests by means of X-ray
μCT scanning techniques should be performed on compacted soil–TDA samples prepared with varying TDA contents/sizes at different stress/strain levels. The results obtained from these tests will allow the initial TDA distribution, and more importantly, its changes during compressive loading, to be visualized and hence employed to verify and/or further improve upon the postulated soil–TDA interactions.
A review of the swelling potential data reported in
Figure 5 indicates that, unlike the UCS, the swelling potential was consistently in favor of higher TDA contents, with the TDA particle size being a secondary factor. This can be attributed to the fact that the swelling potential is primarily governed by the soil clay fraction, such that the substitution of a portion of the clay fraction with silt and/or coarse-grained materials (such as TDA) produces a decrease in the swelling potential [
26]. Accordingly, an increase in TDA content, regardless of TDA particle size, substitutes a larger portion of the clay fraction with hydrophobic TDA particles, thereby permitting a further decrease in the swelling potential. The following mechanism is presented to explain the observed minor effects of TDA size in reducing the swelling potential. Since the oedometer swell test is conducted under confined conditions, friction between the constituent soil and TDA particles influences the swelling potential. For the soil sample to heave, the frictional resistance generated between these particles during swelling should be overcome. The higher the generated frictional resistance, the lower the swelling potential. TDA particles are well established as “high-friction” materials, and thus their inclusion is expected to increase the overall frictional resistance acting against heave. Consequently, an increase in TDA particle size (and hence its surface area) is expected to increase the frictional resistance generated between the soil solids and TDA particles, such that an increase in TDA particle size provides a further reduction in the swelling potential [
2,
26,
27].
5.5. Optimum Mix Designs and Research Recommendations
The primary objective of stabilization with respect to expansive clay soils is to reduce their swelling potential to an acceptable level while either maintaining, or preferably improving, their strength-related features [
27,
57]. As demonstrated in
Section 5.2, the three TDA sizes examined in this study (see
Figure 1) were all consistently effective in reducing the level of swelling—that is, improvement in swelling potential was in favor of higher TDA contents. However, as demonstrated in
Section 5.3, for any given TDA size, TDA contents greater than 5% resulted in UCS, stiffness and toughness concerns. Based on the experimental results presented in
Section 5.2 and
Section 5.3, TDA contents of up to 10% were able to satisfy the stabilization objective and hence can be deemed as optimum choices for the standard Proctor-compacted highly expansive clay soil investigated. Where strength-related features are not the primary concern, higher TDA contents may also be considered acceptable. As demonstrated in
Figure 5 and
Figure 8a, the TDA-C material, with its coarser gradation, was able to outperform the finer TDA-M and TDA-F variants in terms of lower swelling potential and higher UCS values. As such, the TDA-C material can be deemed as the optimum TDA gradation. However, it has been the authors’ experience that achieving uniform soil–TDA-C mixtures is more tedious compared with soil–TDA-M/TDA-F blends, implying an increased tendency for TDA segregation to occur with an increase in TDA size. Although segregation effects can be effectively moderated under controlled laboratory conditions, the same may be difficult to achieve for field conditions. Accordingly, to minimize potential segregation concerns, TDA-M may be a more appropriate material choice. Quite clearly, additional research, with emphasis on segregation, is required to translate/upscale the presented experimental outcomes to practice. It has also been observed that the soil’s clay content and its associated plasticity, defined in terms of the plasticity index, play critical roles in deriving the optimum TDA content (and potentially its gradation). Based on the authors’ previous research, it can be hypothesized that soils with higher clay contents and of higher plasticity, which in turn possess higher cohesion resistance, are often able to accommodate higher TDA contents—that is, the optimum TDA content/size is not unique for all clay soils [
2,
24,
27,
28,
33,
41,
58]. Accordingly, a systematically controlled test program, involving a variety of clay soils with varying plasticity characteristics blended with different TDA contents and gradations, should be carried out with the dual aims of checking the postulated soil–TDA interaction mechanisms described in
Section 5.4 and exploring potential correlations between the optimum TDA content/size and fundamental clay properties.