An overview on the compaction characteristics of soils by laboratory tests

Spagnoli, Giovanni; Shimobe, Satoru

doi:10.1016/j.enggeo.2020.105830

Cited by 27 publications

(22 citation statements)

References 43 publications

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“…It is well accepted that the MDUW and OMC for unamended fine-grained soils (irrespective of compactive effort) are strongly correlated, following a unique 'path of optimums' somewhat parallel to the standard zero-air-voids (ZAV) saturation line (commonly obtained for a typical specific gravity of 2.65 for the soil solids) [27,29,31]. For instance, in their investigation, Gurtug and Sridharan [27] reported the following 'path of optimums' relationships based on a database of 181 compaction tests (with OMC water contents ranging w opt = 7.4-49.0%) involving a variety of 'unamended' fine-grained soils tested at four different compaction energy levels (i.e., reduced, standard, reduced modified and modified Proctor): (i) γ dmax = −0.28 w opt + 22.26 (with R 2 = 0.941); and (ii) γ dmax = 23.68 exp[ −0.018 w opt ] (with R 2 = 0.960), where γ dmax is the deduced MDUW value.…”

Section: Governing Mechanisms Controlling the Compactability Of Soil-tda Blendsmentioning

confidence: 99%

“…As for the MDUW (see Figure 4b), the mean of differences, UAL and LAL were obtained as −0.12, +0.80 and −1.04 kN/m 3 , respectively. Taking into account the nature of the MDUW parameter and its variations across different fine-grained soil types and also with standard and modified compaction energy levels (these variations being relatively smaller compared with that of the OMC [27,31,33]), the errors associated with Equation (10), though practically acceptable, may require further improvement. Alternatively, having predicted the OMC by Equation ( 9), the corresponding MDUW can be estimated with more accuracy through a practical single-point compaction test (performed at the predicted OMC).…”

Section: Predictive Models Employing Mean Reduction Rate Parametersmentioning

confidence: 99%

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Modeling the Compaction Characteristics of Fine-Grained Soils Blended with Tire-Derived Aggregates

2021

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This study aims at modeling the compaction characteristics of fine-grained soils blended with sand-sized (0.075–4.75 mm) recycled tire-derived aggregates (TDAs). Model development and calibration were performed using a large and diverse database of 100 soil–TDA compaction tests (with the TDA-to-soil dry mass ratio ≤ 30%) assembled from the literature. Following a comprehensive statistical analysis, it is demonstrated that the optimum moisture content (OMC) and maximum dry unit weight (MDUW) for soil–TDA blends (across different soil types, TDA particle sizes and compaction energy levels) can be expressed as universal power functions of the OMC and MDUW of the unamended soil, along with the soil to soil–TDA specific gravity ratio. Employing the Bland–Altman analysis, the 95% upper and lower (water content) agreement limits between the predicted and measured OMC values were, respectively, obtained as +1.09% and −1.23%, both of which can be considered negligible for practical applications. For the MDUW predictions, these limits were calculated as +0.67 and −0.71 kN/m3, which (like the OMC) can be deemed acceptable for prediction purposes. Having established the OMC and MDUW of the unamended fine-grained soil, the empirical models proposed in this study offer a practical procedure towards predicting the compaction characteristics of the soil–TDA blends without the hurdles of performing separate laboratory compaction tests, and thus can be employed in practice for preliminary design assessments and/or soil–TDA optimization studies.

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Section: Governing Mechanisms Controlling the Compactability Of Soil-tda Blendsmentioning

confidence: 99%

Section: Predictive Models Employing Mean Reduction Rate Parametersmentioning

confidence: 99%

Modeling the Compaction Characteristics of Fine-Grained Soils Blended with Tire-Derived Aggregates

2021

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“…According to Shimobe and Spagnoli (2020) and Spagnoli and Shimobe (2020), it is known that the ODS values for most soils generally range from 85 to 95% (in terms of the air porosity (v a ) at the ODS values, those correspond to v a = 2-10%), almost irrespective of the compaction energy levels. Moreover, it is interesting that the volcanic cohesive soils (Kanto loam) analyzed in the ODS-LL relationships is not subject to the effect of geotechnical peculiarity and the experimental evidence (ODS≈95% constant) is helpful for the effective utilization of ODS to soil compaction control (as well as the cases of other different plasticity parameters in ODS-PL, ODS-PI, and ODS-R p relationships respectively; see also Figs.…”

Section: S Opt =85-95%mentioning

confidence: 99%

“…The correlations existing in literature are focused on the basic properties and compaction characteristics of soils. Limited information is available for the prediction of compaction characteristics of soil mixtures, with the help of index properties (Shimobe and Spagnoli 2020;Spagnoli and Shimobe 2020). For instance, Sridharan and Nagaraj (2005a, b) showed that the plastic limit value was a better selection than the liquid limit or plasticity index in the estimation of maximum dry density (MDD) and optimum water content (OWC) of fine-grained soils under the standard Proctor compaction test (SP).…”

Section: Introductionmentioning

confidence: 99%

Improved dataset for establishing novel relationships between compaction characteristics and physical properties of soils

Shimobe

Karakan

Sezer

2021

Bull Eng Geol Environ

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In the past, several studies were performed for assessment of compaction properties of different types of soils. A comprehensive evaluation of compaction parameters is essential for engineers working in practice. The main goals of compaction in landfills including highways and railways can be listed as reducing permeability and developing strength as well as enhancing the stability of soils. Literature includes various correlations proposed for establishing the link between the compaction properties of soils and Atterberg limits. Besides, many researchers performed laboratory studies to obtain correlations among soil index, strength, compression, and compaction characteristics of soils. In this study, in addition to authors' own data composed of compaction, strength, index, and consistency identifiers of sand-clay mixtures from three different types of sands (S1, S2, Q) and two types of clays (kaolinite and bentonite), a vast amount of data from past studies including tests on different types of soils around the world were also compiled. The global database was evaluated to propose novel correlative relationships among compaction characteristics, grain size distribution properties, and Atterberg limits. Proposed equations and relationships for estimation of compaction characteristics seem to be viable to use in practice.

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“…In practical engineering, there are many factors affecting the permeability of bimsoils, among which the cementation state is an important parameter (Lin et al 2019;Ren and Zhao 2021). The previous research employed compaction number to ensure the relative density of specimens and study on the influence of compaction characteristics to maximum dry density and optimum water content (Wang et al 2019a;Spagnoli and Shimobe 2020). However, the impact of cementation degree on the permeability of bimsoils is rarely taken into consideration, especially at the condition of water infiltration.…”

Section: Introductionmentioning

confidence: 99%

Experimental study on the permeability and seepage characteristics of bimsoils

Wang

Zheng

Wang

et al. 2021

Geomatics, Natural Hazards and Risk

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Bimsoils are a loose rock and soil system, and the occurrence of geological hazards is closely related to water. To investigate the permeability and seepage characteristics of bimsoils, factors on permeability are discussed in detail considering cementation state, and variable mass seepage is studied tentatively with selfdeveloped apparatus. Results shown that the order of factors on permeability is rock content > cementation degree > rock size > Talbot index (describing the mass percentage for different particle size of sand), and there are significant differences between factors. Besides, permeability generally increases with the increase of rock content and decreases with the increase of cementing agent content, while increases slightly due to agglomeration effect at the clay content of 8%. It is more obvious for reducing the permeability of higher rock content bimsoils by strong cementing agent, however, it tends to be same eventually with cement content increasing. The seepage of bimsoils is dominated by fine particle losses, and the secondary inrush occurs under the larger particle radius ratio. Moreover, particle losses and the time needed for secondary inrush both increase with the increase of particle radius ratio. The results would provide consults for the preparation of similar materials and the prevention of tunnels and underground engineering disasters.

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An overview on the compaction characteristics of soils by laboratory tests

Cited by 27 publications

References 43 publications

Modeling the Compaction Characteristics of Fine-Grained Soils Blended with Tire-Derived Aggregates

Modeling the Compaction Characteristics of Fine-Grained Soils Blended with Tire-Derived Aggregates

Improved dataset for establishing novel relationships between compaction characteristics and physical properties of soils

Experimental study on the permeability and seepage characteristics of bimsoils

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