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Research article · 2025 · Full text

International Journal of Geography Geology and Environment

Geotechnical properties of laterite soils and engineering implications in the Congo Basin

Anna BergströmOskar SvenssonLena Olsson

Volume 7(1) · Pages 136–139 · DOI: 10.22271/27067483.2025.v7.i1c.618 ↗

Research areasGeotechnical and construction materials studiesGeotechnical Engineering and Soil MechanicsSoil and Unsaturated Flow

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Abstract

Author-written

Laterite soils blanket much of the Congo Basin, yet their geotechnical behaviour remains poorly documented compared with laterites in South Asia and West Africa—a gap that has led to repeated foundation failures in rapidly urbanising Congolese cities. This research characterised the index properties, compaction characteristics, and shear strength of laterite soils at 48 locations across two provinces of the Democratic Republic of the Congo. Liquid limits ranged from 36.4% to 83.7%, and plasticity indices from 12.1% to 48.3%, placing most samples above the A-line on the Casagrande chart and classifying them as inorganic clays of medium to high plasticity. Maximum dry density decreased with increasing fines content (r = -0.79), while optimum moisture content increased correspondingly. Unconfined compressive strength varied from 78 to 312 kPa, with the lowest values in the upper 1-m horizon where iron-oxide cementation was weakest. The results provide design parameters for shallow foundations and road subgrades and highlight the need for site-specific testing in areas where laterite profiles are thicker than 3 m.

Summary

Source-checked

Plain-language reading of the full paper, prepared with AI and checked against the text. Each point links to the authors' own words.

  1. Why it matters

    • Laterite soils are widespread in the Congo Basin, but a lack of geotechnical documentation has contributed to frequent foundation failures in urban areas. View evidence ↗

      Why it matters

      Laterite soils are widespread in the Congo Basin, but a lack of geotechnical documentation has contributed to frequent foundation failures in urban areas.

      In the paper's own words

      “Laterite soils blanket much of the Congo Basin, yet their geotechnical behaviour remains poorly documented compared with laterites in South Asia and West Africa—a gap that has led to repeated foundation failures in rapidly urbanising Congolese cities.”

      Page 1

      Found in: Introduction

      Read it in the full textOpen PDF at page 1 ↗
    • Laterites are tropical soils rich in aluminium and iron oxides, exhibiting engineering behaviors that differ significantly from the temperate soils typically found in textbooks. View evidence ↗

      Why it matters

      Laterites are tropical soils rich in aluminium and iron oxides, exhibiting engineering behaviors that differ significantly from the temperate soils typically found in textbooks.

      In the paper's own words

      “Laterites are deeply weathered tropical soils rich in iron and aluminium oxides, and their engineering behaviour can differ drastically from that of temperate-climate soils that dominate geotechnical textbooks”

      Page 1

      Found in: Introduction

      Read it in the full textOpen PDF at page 1 ↗
    • In the Congo Basin, laterite profiles can be over 20 meters thick, transitioning from a hard surface duricrust to a mottled zone and finally to saprolite. View evidence ↗

      Why it matters

      In the Congo Basin, laterite profiles can be over 20 meters thick, transitioning from a hard surface duricrust to a mottled zone and finally to saprolite.

      In the paper's own words

      “In the Congo Basin, laterite profiles can exceed 20 m in thickness, grading from a hard, iron-cemented duricrust at the surface through a mottled zone of alternating soft and hard layers into a saprolite that retains the fabric of the parent rock”

      Page 1

      Found in: Introduction

      Read it in the full textOpen PDF at page 1 ↗
  2. The question

    • The study aimed to systematically characterize the strength and index properties of laterite soils across 48 sites in two provinces. View evidence ↗

      The question

      The study aimed to systematically characterize the strength and index properties of laterite soils across 48 sites in two provinces.

      In the paper's own words

      “This research aimed to a) Systematically characterise the index and strength properties of laterite soils at 48 sites across two provinces.”

      Page 1

      Found in: Introduction

      Read it in the full textOpen PDF at page 1 ↗
    • The research also sought to evaluate how these properties change with depth and fines content to provide region-specific design recommendations for road subgrades and shallow foundations. View evidence ↗

      The question

      The research also sought to evaluate how these properties change with depth and fines content to provide region-specific design recommendations for road subgrades and shallow foundations.

      In the paper's own words

      “b) Evaluate how those properties vary with depth and fines content. c) Provide design recommendations for shallow foundations and road subgrades appropriate to the Congo Basin context”

      Page 1

      Found in: Introduction

      Read it in the full textOpen PDF at page 1 ↗
  3. What they did

    • Between May and November 2022, researchers collected 192 disturbed and 96 undisturbed samples from 48 trial pits in the Kongo Central and Kinshasa provinces. View evidence ↗

      What they did

      Between May and November 2022, researchers collected 192 disturbed and 96 undisturbed samples from 48 trial pits in the Kongo Central and Kinshasa provinces.

      In the paper's own words

      “A total of 192 disturbed bag samples and 96 undisturbed tube samples were recovered from 48 trial pits across Kinshasa and Kongo Central provinces between May and November 2022.”

      Page 2

      Found in: Baseline Soil Characterisation

      Read it in the full textOpen PDF at page 2 ↗
    • Disturbed samples were used for compaction, specific gravity, Atterberg limits, and grain-size analysis, while undisturbed samples were used for direct shear and unconfined compressive strength (UCS) tests. View evidence ↗

      What they did

      Disturbed samples were used for compaction, specific gravity, Atterberg limits, and grain-size analysis, while undisturbed samples were used for direct shear and unconfined compressive strength (UCS) tests.

      In the paper's own words

      “Disturbed samples provided material for grain-size analysis, Atterberg limits, specific gravity, and compaction tests. Undisturbed samples were used for unconfined compressive strength (UCS) and direct shear tests.”

      Page 2

      Found in: Methods

      Read it in the full textOpen PDF at page 2 ↗
    • UCS tests used cylindrical specimens (38 mm diameter, 76 mm height) at natural moisture, and direct shear tests were conducted at 0.5 mm/min under normal stresses of 50, 100, and 200 kPa. View evidence ↗

      What they did

      UCS tests used cylindrical specimens (38 mm diameter, 76 mm height) at natural moisture, and direct shear tests were conducted at 0.5 mm/min under normal stresses of 50, 100, and 200 kPa.

      In the paper's own words

      “UCS was measured on cylindrical specimens 38 mm in diameter and 76 mm in height at natural moisture content. Direct shear tests (ASTM D3080) were run under normal stresses of 50, 100, and 200 kPa at a displacement rate of 0.5 mm/min.”

      Page 2

      Found in: Methods

      Read it in the full textOpen PDF at page 2 ↗
    • Trial pits were dug to a maximum of 4 meters or until saprolite was reached, with samples collected every 0.5 meters. View evidence ↗

      What they did

      Trial pits were dug to a maximum of 4 meters or until saprolite was reached, with samples collected every 0.5 meters.

      In the paper's own words

      “Pits extended to a maximum depth of 4 m or to the top of the saprolite, whichever was shallower. Each pit was logged following BS 5930 conventions, and samples were taken at 0.5-m depth intervals.”

      Page 2

      Found in: Baseline Soil Characterisation

      Read it in the full textOpen PDF at page 2 ↗
  4. What they found

    • The soils were classified as inorganic clays of medium to high plasticity, with plasticity indices between 12.1% and 48.3% and liquid limits between 36.4% and 83.7%. View evidence ↗

      What they found

      The soils were classified as inorganic clays of medium to high plasticity, with plasticity indices between 12.1% and 48.3% and liquid limits between 36.4% and 83.7%.

      In the paper's own words

      “Liquid limits ranged from 36.4% to 83.7%, and plasticity indices from 12.1% to 48.3%, placing most samples above the A-line on the Casagrande chart and classifying them as inorganic clays of medium to high plasticity.”

      Page 1

      Found in: Discussion

      Read it in the full textOpen PDF at page 1 ↗
    • The unconfined compressive strength (UCS) increased nearly threefold, rising from 112 kPa at the surface to 297 kPa at a depth of 4 meters. View evidence ↗

      What they found

      The unconfined compressive strength (UCS) increased nearly threefold, rising from 112 kPa at the surface to 297 kPa at a depth of 4 meters.

      In the paper's own words

      “UCS nearly triples from 112 kPa to 297 kPa between the surface and 4-m depth.”

      Page 2

      Found in: Introduction

      Read it in the full textOpen PDF at page 2 ↗
    • There was a strong inverse correlation (r = -0.79) between fines content and maximum dry density, with optimum moisture content increasing as fines increased. View evidence ↗

      What they found

      There was a strong inverse correlation (r = -0.79) between fines content and maximum dry density, with optimum moisture content increasing as fines increased.

      In the paper's own words

      “Maximum dry density decreased with increasing fines content (r = -0.79), while optimum moisture content increased correspondingly.”

      Page 1

      Found in: Baseline Soil Characterisation

      Read it in the full textOpen PDF at page 1 ↗
    • Strip footings on medium-plasticity laterites (PI < 25%) were 12% cheaper than using imported fill, but high-plasticity profiles (PI > 35%) increased costs by 18-27% due to required heave-mitigation. View evidence ↗

      What they found

      Strip footings on medium-plasticity laterites (PI < 25%) were 12% cheaper than using imported fill, but high-plasticity profiles (PI > 35%) increased costs by 18-27% due to required heave-mitigation.

      In the paper's own words

      “On laterite profiles classified as medium plasticity (PI < 25%), conventional strip footings at 0.8-m depth satisfied allowable bearing-capacity criteria at a cost roughly 12% lower than on imported granular fill. However, on high-plasticity profiles (PI > 35%), heave-mitigation measures... added 18-27% to foundation costs”

      Page 2

      Found in: Engineering Cost Implications

      Read it in the full textOpen PDF at page 2 ↗
  5. What it means

    • The authors recommend founding shallow structures at least 1.5 meters deep to avoid weak surface layers, using fines content to assess road subgrade compaction, and applying lime stabilization for high-plasticity surface soils. View evidence ↗

      What it means

      The authors recommend founding shallow structures at least 1.5 meters deep to avoid weak surface layers, using fines content to assess road subgrade compaction, and applying lime stabilization for high-plasticity surface soils.

      In the paper's own words

      “For practical engineering in the region, the key recommendations are: found shallow structures at a minimum depth of 1.5 m to avoid the weakest surface horizon; use fines content as a rapid field indicator of compaction suitability for road subgrades; and consider lime stabilisation where high-plasticity surface laterite cannot be avoided.”

      Page 3

      Found in: Conclusion

      Read it in the full textOpen PDF at page 3 ↗
    • While the data serves as a regional reference for preliminary design, the authors state that site-specific testing is still required for larger structures. View evidence ↗

      What it means

      While the data serves as a regional reference for preliminary design, the authors state that site-specific testing is still required for larger structures.

      In the paper's own words

      “The dataset compiled here can serve as a regional reference for preliminary design, though site-specific testing remains necessary for larger structures.”

      Page 3

      Found in: Conclusion

      Read it in the full textOpen PDF at page 3 ↗

Visual summary

2 visuals

Illustrations explain the paper; charts are replotted from the paper's own table values.

AI-generated illustration
AI-generated conceptual illustration (laterite soil profile in the Congo Basin). It explains the idea and does not show study data.↗ Enlarge
Laterite Profile Gradient
AI-generated conceptual illustration (laterite soil profile in the Congo Basin). It explains the idea and does not show study data.

AI-generated conceptual illustration (laterite soil profile in the Congo Basin). It explains the idea and does not show study data.

Open full-size image ↗

Laterite Profile Gradient

AI-generated conceptual illustration (laterite soil profile in the Congo Basin). It explains the idea and does not show study data.

View source evidence ↗
Replotted from source data
Replotted from Table 1 (page 2) of the original paper. Every bar is the paper's own table value.↗ Enlarge
UCS (kPa): 0-1.0 vs 1.0-2.0 vs 2.0-3.0 vs 3.0-4.0
Replotted from Table 1 (page 2) of the original paper. Every bar is the paper's own table value.

Replotted from Table 1 (page 2) of the original paper. Every bar is the paper's own table value.

Open full-size image ↗

UCS (kPa): 0-1.0 vs 1.0-2.0 vs 2.0-3.0 vs 3.0-4.0

Replotted from Table 1 (page 2) of the original paper. Every bar is the paper's own table value.

View source evidence ↗

Figures & tables

From the original paper
Mean geotechnical properties of laterite soils by depth interval (n = 48 sites)Table 1Page 2Casagrande plasticity chart showing the distribution of 48 laterite soil samples relative to the A-line.Figure 1Page 2Particle-size distribution with depth in a typical laterite profile, Congo Basin.Figure 2Page 3
FULL TEXT Original article · reflowed for reading

Introduction

A trend that has caught the attention of civil engineers across central Africa is the rising number of building failures on laterite foundations-failures that are often blamed on poor construction quality but may in fact originate in a misunderstanding of the soil itself [1] . Laterites are deeply weathered tropical soils rich in iron and aluminium oxides, and their engineering behaviour can differ drastically from that of temperate-climate soils that dominate geotechnical textbooks [2] . In the Congo Basin, laterite profiles can exceed 20 m in thickness, grading from a hard, ironcemented duricrust at the surface through a mottled zone of alternating soft and hard layers into a saprolite that retains the fabric of the parent rock [3] . Which horizon a foundation bears on-and how that horizon responds to seasonal wetting and drying-determines performance. Yet published geotechnical data for Congolese laterites are scattered across a handful of project reports, most of which are not publicly accessible [4] . Internationally, laterite geotechnics draws on extensive datasets from India, Nigeria, and Brazil, where Atterberg limits, compaction curves, and California Bearing Ratio (CBR) values have been compiled for hundreds of sites [5] . These databases show that laterite properties vary widely depending on parent rock, degree of weathering, drainage conditions, and iron-oxide mineralogy-making it risky to extrapolate from one region to another without local calibration [6] .

This research aimed to a) Systematically characterise the index and strength properties of laterite soils at 48 sites across two provinces. b) Evaluate how those properties vary with depth and fines content. c) Provide design recommendations for shallow foundations and road subgrades appropriate to the Congo Basin context [7] .

Baseline Soil Characterisation

Disturbed and undisturbed samples were collected from hand-dug trial pits at 48 locations in the Kinshasa and Kongo Central provinces. Pits extended to a maximum depth of 4 m or to the top of the saprolite, whichever was shallower. Each pit was logged following BS 5930 conventions, and samples were taken at 0.5-m depth intervals. In-situ moisture content averaged 24.3% in the upper 1 m and dropped to 18.6% below 2 m. Specific gravity, determined by pycnometer, ranged from 2.61 to 2.78, with higher values in the iron-rich duricrust horizon where goethite and hematite concentrations exceeded 35% by weight [3] . The natural void ratio decreased with depth from 1.14 near the surface to 0.72 at 3.5 m, reflecting progressive compaction and cementation.

Engineering Cost Implications

Foundation cost estimates were calculated for three common building types in the research area: single-storey residential (strip footing), two-storey commercial (pad footing), and low-rise institutional (raft foundation). On laterite profiles classified as medium plasticity (PI < 25%), conventional strip footings at 0.8-m depth satisfied allowable bearingcapacity criteria at a cost roughly 12% lower than on imported granular fill. However, on high-plasticity profiles (PI > 35%), heave-mitigation measures-including deeper founding levels, lime stabilisation, or compacted gravel pads-added 18-27% to foundation costs [5] . These estimates suggest that accurate soil classification at the project stage can avoid both under-design (leading to settlement) and over-design (wasting construction budget).

Material and Methods

Material and Methods

Methods

Grain-size distribution was determined by wet sieving and hydrometer analysis following ASTM D422. Liquid limit (LL) and plastic limit (PL) followed the Casagrande cup and rolling-thread methods (ASTM D4318). Compaction used the standard Proctor test (ASTM D698). UCS was measured on cylindrical specimens 38 mm in diameter and 76 mm in height at natural moisture content. Direct shear tests (ASTM D3080) were run under normal stresses of 50, 100, and 200 kPa at a displacement rate of 0.5 mm/min. Pearson correlation was used to relate index properties to depth and fines content [6] . Classification followed the Unified Soil Classification System (USCS).

Results

Table Figure 2 illustrates the gradual shift from clay-dominated surface horizons (62% clay) to sand-enriched lower horizons (45% sand at 4 m). This textural gradient mirrors the geotechnical trend in Table 1 and reflects the weathering intensity profile, with the most altered material at the surface.

Figure 2. Particle-size distribution with depth in a typical laterite profile, Congo Basin.
Particle-size distribution with depth in a typical laterite profile, Congo Basin.↗ Enlarge
Figure 2
Particle-size distribution with depth in a typical laterite profile, Congo Basin.

Particle-size distribution with depth in a typical laterite profile, Congo Basin.

Open full-size image ↗
Original paper figureSource PDF · page 3 ↗
Table 1. Mean geotechnical properties of laterite soils by depth interval (n = 48 sites)
Depth (m)LL (%)PI (%)Fines (%)MDD (kg/m³)OMC (%)UCS (kPa)
0-1.062.434.768.31,52421.8112
1.0-2.054.828.358.71,61218.4187
2.0-3.047.122.649.11,69815.7248
3.0-4.041.317.441.61,76313.9297

Table text extracted from the original PDF; superscript letters are shown inline. The original table image is below.

View original table image
Mean geotechnical properties of laterite soils by depth interval (n = 48 sites)↗ Enlarge
Table 1
Mean geotechnical properties of laterite soils by depth interval (n = 48 sites)

Mean geotechnical properties of laterite soils by depth interval (n = 48 sites)

Open full-size image ↗
Original paper tableSource PDF · page 2 ↗

Discussion

The depth-dependent improvement in geotechnical properties documented here matches the weathering-profile model described for West African laterites [2] , but the absolute values-particularly the high liquid limits in the upper 2 m-are at the upper end of published ranges, likely because of the higher rainfall and more intense leaching in the equatorial Congo Basin compared with the Sahelian fringe [3] . The practical implication is that shallow strip footings on near-surface laterite in this region carry a higher risk of swelling and settlement than equivalent footings on laterites in drier climates. The strong inverse correlation between fines content and maximum dry density (r = -0.79) confirms that the proportion of clay-size particles is the single most important index property for predicting compaction behaviour-a useful finding for road-construction quality control, where rapid field classification by sedimentation jar can substitute for full laboratory testing [5] . UCS values below 150 kPa in the upper metre suggest that load-bearing capacity is marginal for even single-storey buildings at standard founding depths of 0.6-0.8 m. Deepening foundations to 1.5-2.0 m, where UCS exceeds 180 kPa, would provide an adequate factor of safety without the expense of ground improvement. For two-storey or heavier structures, lime or cement stabilisation of the upper horizon should be considered [7] .

Conclusion

This research provided the first systematic geotechnical characterisation of laterite soils across two provinces of the Congo Basin, covering 48 sites and four depth intervals. The data show that surface laterites (0-1 m) are high-plasticity clays with limited bearing capacity (UCS approximately 112 kPa), while deeper horizons (3-4 m) transition to medium-plasticity, better-cemented material with UCS approaching 300 kPa. For practical engineering in the region, the key recommendations are: found shallow structures at a minimum depth of 1.5 m to avoid the weakest surface horizon; use fines content as a rapid field indicator of compaction suitability for road subgrades; and consider lime stabilisation where high-plasticity surface laterite cannot be avoided. The dataset compiled here can serve as a regional reference for preliminary design, though site-specific testing remains necessary for larger structures.

Acknowledgement

Acknowledgements Funding SourcesThis research was supported by internal funds from the Gothenburg College of Environmental Studies. No external grant numbers apply. Institutional SupportThe authors acknowledge the Department of Geosciences at the Gothenburg College of Environmental Studies, Västra Götaland, Sweden, for geotechnical laboratory facilities.

Figures and tables from the paper

Figure 1. Casagrande plasticity chart showing the distribution of 48 laterite soil samples relative to the A-line.
Casagrande plasticity chart showing the distribution of 48 laterite soil samples relative to the A-line.↗ Enlarge
Figure 1
Casagrande plasticity chart showing the distribution of 48 laterite soil samples relative to the A-line.

Casagrande plasticity chart showing the distribution of 48 laterite soil samples relative to the A-line.

Open full-size image ↗
Original paper figureSource PDF · page 2 ↗

References

15 in the original paper
  1. Gidigasu MD. Laterite Soil Engineering: Pedogenesis and Engineering Principles. Elsevier. 1976;Amsterdam:554.
  2. Blight GE. Origin and formation of residual soils. In: Mechanics of Residual Soils. Taylor & Francis. 2012;128.
  3. Tardy Y. Petrology of Laterites and Tropical Soils. Masson. 1997;Paris:408.
  4. Kasongo Lenge Mukonzo F, Batumike M, Kampunzu AB. Geological and geotechnical characterisation of Kinshasa soils. Bulletin of Engineering Geology and the Environment. 2009;68(3):405-413.
  5. Osinubi KJ, Nwaiwu CM. Compaction delay effects on properties of lime-treated soil. Journal of Materials in Civil Engineering. 2006;18(2):250-258.
  6. Ola SA. Geotechnical properties and behaviour of some stabilized Nigerian lateritic soils. Quarterly Journal of Engineering Geology. 1978;11(2):145-160.
  7. Fookes PG. Tropical Residual Soils: A Geological Society Engineering Group Working Party Revised Report. The Geological Society. 1997;London:184.
  8. Mitchell JK, Soga K. Fundamentals of Soil Behavior, 3rd ed. John Wiley. 2005;Hoboken:577.
  9. Townsend FC. Geotechnical characteristics of residual soils. Journal of Geotechnical Engineering. 1985;111(1):77-94.
  10. Mahalinga-Iyer U, Williams DJ. Unsaturated strength behaviour of compacted lateritic soils. Geotechnique. 1997;47(1):173-177.
  11. Nogami JS, Villibor DF. Low-cost paving with lateritic soils in Brazil. Transportation Research Record. 1981;827:26-30.
  12. De Graft-Johnson JWS, Bhatia HS. Engineering characteristics of laterite soils. In: Proceedings 7th International Conference on Soil Mechanics. 1969;2:13-21.
  13. Rahardjo H, Aung KK, Leong EC, Rezaur RB. Characteristics of residual soils in Singapore as formed by weathering. Engineering Geology. 2004;73(12):157-169.
  14. Lambe TW, Whitman RV. Soil Mechanics. John Wiley. 1979;New York:553.
  15. Madu RM. An investigation into the geotechnical and engineering properties of some laterites of eastern Nigeria. Engineering Geology. 1977;11(2):101-125.