The Soil Classification USCS (Unified Soil Classification System) Interactive Calculator determines the soil type, engineering properties, and classification group based on grain size distribution and Atterberg limits. This standardized system, developed by Arthur Casagrande and adopted by ASTM D2487, is essential for foundation design, earthwork planning, and geotechnical site assessment. Engineers, geologists, and construction professionals use this calculator to translate laboratory test data into actionable soil classifications that inform bearing capacity, permeability, and compaction specifications.
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Table of Contents
Visual Diagram
Interactive USCS Soil Classification Calculator
Classification Criteria & Equations
Primary Division Criteria
Coarse-Grained: > 50% retained on No. 200 sieve (0.075 mm)
Fine-Grained: ≥ 50% passes No. 200 sieve (0.075 mm)
Gradation Coefficients
Cu = D60 / D10
Coefficient of Uniformity
Cc = (D30)2 / (D10 × D60)
Coefficient of Curvature
Where:
- D10 = grain diameter at 10% passing (effective size), mm
- D30 = grain diameter at 30% passing, mm
- D60 = grain diameter at 60% passing, mm
Well-Graded Criteria
Gravel (GW): Cu ≥ 4 AND 1 ≤ Cc ≤ 3
Sand (SW): Cu ≥ 6 AND 1 ≤ Cc ≤ 3
If criteria not met, soil is classified as poorly-graded (GP or SP)
Plasticity Classification
PI = LL - PL
Plasticity Index
A-Line: PI = 0.73(LL - 20)
Casagrande Plasticity Chart Boundary
Where:
- PI = Plasticity Index, %
- LL = Liquid Limit, % (water content at 25 blows in Casagrande cup)
- PL = Plastic Limit, % (water content at which 3.2 mm thread crumbles)
Classification Rules:
- If PI > 7 AND plots above A-line → Clay (C)
- If PI < 4 OR plots below A-line → Silt (M)
- If LL ≥ 50 → High plasticity (H suffix)
- If LL < 50 → Low plasticity (L suffix)
Organic Content Criteria
Organic Classification: LLoven-dried / LLnot dried < 0.75
Peat (Pt): Organic content > 75% by dry weight
Organic soils exhibit dark color, fibrous texture, and distinctive odor. Loss-on-ignition test (ASTM D2974) provides quantitative organic content.
Theory & Engineering Applications
The Unified Soil Classification System represents one of the most significant standardizations in geotechnical engineering history. Developed by Arthur Casagrande during World War II for military airfield construction and later refined by the U.S. Army Corps of Engineers, the USCS correlates observable soil properties with engineering behavior more effectively than any predecessor system. The genius of USCS lies in its dual-parameter approach: coarse-grained soils are classified by grain size distribution and gradation geometry, while fine-grained soils are classified by plasticity characteristics that directly relate to clay mineralogy and particle surface activity.
Coarse-Grained Soil Classification
When more than 50% of soil mass is retained on the No. 200 sieve (0.075 mm opening), the material exhibits granular behavior dominated by interparticle friction rather than cohesion. The primary subdivision distinguishes gravel (G) from sand (S) based on whether the coarse fraction is predominantly retained on (gravel) or passes through (sand) the No. 4 sieve (4.75 mm). This threshold reflects a critical behavioral transition: gravels develop higher internal friction angles (typically 38-45°) compared to sands (30-38°), and exhibit superior drainage characteristics that make them preferred materials for drainage layers and free-draining fills.
The secondary classification of coarse soils depends critically on fines content. For clean sands and gravels (less than 5% passing No. 200), gradation geometry determines the classification as well-graded (W) or poorly-graded (P). The coefficient of uniformity (Cu) quantifies the range of particle sizes present: higher Cu values indicate better gradation with sizes spanning multiple orders of magnitude. The coefficient of curvature (Cc) measures the shape of the grain size distribution curve, identifying gap-graded soils (missing middle sizes) that behave poorly despite high Cu values. Well-graded materials achieve superior compaction density, higher shear strength, and lower permeability compared to uniform or gap-graded soils because smaller particles fill voids between larger grains, creating a denser particle matrix. This explains why well-graded gravels serve as optimal base courses for pavements and railroad ballast.
When fines content reaches 5-12%, the soil receives a dual classification (e.g., SW-SC) acknowledging that both gradation and plasticity influence behavior. Above 12% fines, the matrix of fine particles controls engineering properties, and classification shifts entirely to plasticity-based symbols (SM, SC, GM, GC). This transition reflects a fundamental mechanical shift: coarse particles create the load-bearing skeleton below 12% fines, but above this threshold, fine particle interactions dominate consolidation, permeability, and shear behavior. A critical practical consideration emerges here—many specification writers incorrectly assume all SM or SC soils behave similarly, when in fact SM materials with 13% fines differ dramatically from those with 45% fines in compaction response, strength gain, and moisture sensitivity.
Fine-Grained Soil Classification and the Plasticity Chart
Fine-grained soils derive their engineering behavior from particle surface forces, clay mineralogy, and water adsorption rather than grain-to-grain contact. The Casagrande plasticity chart—plotting liquid limit versus plasticity index—brilliantly correlates these parameters with fundamental soil behavior. The A-line (PI = 0.73(LL-20)) represents an empirical boundary separating clay-like behavior (above the line) from silt-like behavior (below the line). This distinction matters profoundly: clays exhibit true plasticity with their range of moldable consistency, while silts behave more like very fine sands, showing limited plasticity and rapid strength loss when disturbed.
The 50% liquid limit threshold dividing low (L) from high (H) plasticity reflects clay mineralogy differences. Low-plasticity clays (CL) typically contain kaolinite or illite minerals with limited surface activity, yielding moderate shrink-swell potential and consolidation rates of 1-10 years for typical foundation loading. High-plasticity clays (CH), often containing montmorillonite or smectite minerals, exhibit extreme shrink-swell behavior (volume changes exceeding 10%), very slow consolidation (decades for thick deposits), and dramatically reduced shear strength when remolded. The classification of a soil as CH rather than CL immediately signals the need for deep foundations, moisture-control measures, and careful attention to post-construction settlement.
Elastic silts (MH) represent a particularly troublesome classification. Despite plotting in the high-plasticity region, these materials—often micaceous silts, diatomaceous earth, or volcanic soils—exhibit extreme sensitivity to disturbance, very high compressibility, and poor strength characteristics. The "elastic" designation comes from their behavior when squeezing a wet sample: it rebounds slightly when pressure releases, unlike clay which remains deformed. Many foundation failures occur when MH soils are mistakenly treated as high-strength materials based solely on their high liquid limit, when in fact they require ground improvement or deep foundations similar to organic soils.
Organic Soil Identification
Organic soils present special challenges because organic matter dramatically alters plasticity behavior while contributing essentially zero strength. The USCS employs the oven-drying test to detect organic influence: if the liquid limit drops by more than 25% after oven-drying (indicating LLdried/LLnot-dried less than 0.75), organic material is present in sufficient quantity to warrant an O designation (OL or OH). This test works because organic compounds decompose or oxidize during oven-drying, removing their contribution to water retention. Alternatively, organic content can be quantified directly through loss-on-ignition testing, where soil is combusted at 440°C and weight loss measured—anything above 8-10% organic content typically produces observable behavioral changes.
Peat (Pt) represents the extreme end of organic soil classification, with fibrous plant material constituting the bulk of the soil mass. Peat exhibits compression ratios (strain under load) often exceeding 0.5, meaning a 1-meter-thick peat layer can compress by over 50 cm under typical structural loads. Additionally, peat decomposition continues after construction, producing long-term settlement that can persist for decades. Standard practice for construction over peat involves complete excavation and replacement, surcharging with temporary fill to pre-compress the peat before construction, or use of deep foundations that bypass the peat layer entirely. The misidentification of highly organic soil as inorganic ML or CL has caused numerous structural failures where foundations settled far beyond design predictions.
Worked Example: Complete USCS Classification
A soil sample from a proposed building site yields the following laboratory test results:
- Grain size analysis: 32.4% retained on No. 4 sieve (4.75mm), 41.7% passing No. 4 and retained on No. 200 (0.075mm), 25.9% passing No. 200 sieve
- From grain size curve: D10 = 0.08 mm, D30 = 0.65 mm, D60 = 3.2 mm
- Atterberg limits on minus No. 40 fraction: LL = 32%, PL = 18%
- Visual observation: brown color, no organic odor
Step 1: Determine coarse vs. fine classification
Total coarse fraction = 32.4% + 41.7% = 74.1% retained on No. 200 sieve
Since 74.1% > 50%, this is a coarse-grained soil.
Step 2: Determine gravel vs. sand
Of the coarse fraction (74.1%), the percentage retained on No. 4 is: (32.4/74.1) × 100 = 43.7%
The percentage passing No. 4 is: (41.7/74.1) × 100 = 56.3%
Since more than 50% of the coarse fraction passes the No. 4 sieve, the primary classification is Sand (S).
Step 3: Evaluate fines content influence
Fines content = 25.9%, which exceeds 12%
Therefore, classification will be based on plasticity of fines (SM or SC)
Step 4: Calculate plasticity parameters
PI = LL - PL = 32 - 18 = 14%
A-line value at LL = 32: PIA-line = 0.73(32 - 20) = 0.73 × 12 = 8.76%
Step 5: Classify fines type
Since PI = 14% > 7% AND PI = 14% > PIA-line = 8.76%, the fines plot above the A-line and are clayey.
Step 6: Calculate gradation coefficients (for complete characterization)
Cu = D60/D10 = 3.2/0.08 = 40
Cc = (D30)2/(D10 × D60) = (0.65)2/(0.08 × 3.2) = 0.4225/0.256 = 1.65
For well-graded sand: Cu ≥ 6 AND 1 ≤ Cc ≤ 3
This soil meets both criteria (40 ≥ 6, and 1.65 is between 1 and 3), so the gradation is excellent.
Final Classification: SC (Clayey Sand)
Group Name: Clayey sand, well-graded
Engineering Implications:
This SC classification with well-graded characteristics indicates a soil with favorable engineering properties. The 26% clay content provides some cohesion and reduces permeability (estimated 10-5 to 10-6 cm/s), while the well-graded sand skeleton provides good shear strength (friction angle approximately 32-36°) and reasonable bearing capacity (allowable bearing pressure approximately 150-250 kPa for shallow foundations). The clay binder makes this material moisture-sensitive during construction—optimum moisture content for compaction will be critical (likely 10-14%), and achieving specified density will require careful moisture control. The material should compact well to 95% Standard Proctor density with proper moisture and effort. Moderate frost susceptibility exists due to the silt-size fraction implied by the D10 value of 0.08 mm (on the silt-sand boundary). For pavement subgrade applications, a frost-depth analysis would be warranted in cold climates.
Limitations and Special Considerations
While USCS provides excellent correlation with soil behavior, several limitations deserve recognition. The system classifies soils based on disturbed samples, yet many fine-grained soils exhibit dramatically different behavior in their natural, undisturbed state due to structure and cementation. A soft, sensitive marine clay may classify identically to a stiff, overconsolidated glacial clay, yet these materials require entirely different foundation approaches. The USCS symbol communicates nothing about soil sensitivity, overconsolidation ratio, natural water content relative to liquid limit, or in-situ density—all critical parameters for design.
Furthermore, the system struggles with borderline cases. Soils plotting near the A-line may receive different classifications from different laboratories due to normal testing variability in Atterberg limits (±2-3% is common). The 12% fines threshold for dual symbols creates discontinuities where soils at 11.8% and 12.2% fines receive fundamentally different symbols despite nearly identical behavior. Modern practice increasingly supplements USCS classifications with quantitative engineering parameters—consolidation coefficients, shear strength measurements, and permeability data—rather than relying solely on the classification symbol for design decisions.
For additional geotechnical engineering resources and calculation tools, visit the engineering calculator library.
Practical Applications
Scenario: Foundation Design for Residential Development
Marcus, a geotechnical engineer with a consulting firm, receives soil boring logs from a proposed 24-unit townhouse development site. Laboratory testing on samples from 1.5 meters depth shows 68% passing the No. 200 sieve, liquid limit of 42%, and plasticity index of 19%. He inputs these values into the USCS calculator, which classifies the soil as CL (lean clay). This classification immediately tells Marcus the soil will have moderate plasticity, consolidation settlement concerns, and moderate shrink-swell potential. Based on the CL designation, he recommends shallow foundations with minimum embedment of 1.2 meters below grade, pier-and-beam construction to accommodate minor differential settlement, and moisture barriers around the foundation perimeter to minimize seasonal moisture fluctuations that could cause movement. The classification drives his bearing capacity recommendation of 125 kPa and his settlement analysis methodology, ultimately shaping the entire foundation design for the project.
Scenario: Pavement Subgrade Evaluation
Jennifer, a materials engineer for the state highway department, evaluates borrow pit materials for a highway reconstruction project. She conducts grain size analysis on samples from a potential source, finding 15% retained on the No. 4 sieve, 62% passing No. 4 but retained on No. 200, and 23% fines. The gradation analysis yields Cu = 8.7 and Cc = 1.4, and Atterberg limits show LL = 26% and PI = 8%. Using the USCS calculator in coarse-grained mode, the material classifies as SW-SC (well-graded sand with clay). This classification meets the department's specification requirement for "granular materials with less than 25% fines and clayey plasticity," making it suitable for subgrade improvement. The SW component indicates good gradation for compaction and strength, while the SC suffix alerts Jennifer that moisture control during placement will be critical—she specifies compaction within ±2% of optimum moisture content and requires nuclear density gauge testing every 150 meters of placement to verify 98% Standard Proctor density is achieved.
Scenario: Construction Site Investigation
David, a field engineer for a commercial building contractor, encounters unexpected wet, dark-colored soil during excavation that wasn't documented in the original geotechnical report. Concerned about organic content, he collects a sample and sends it to the laboratory with a request for organic content testing and Atterberg limits. The lab reports 14.3% organic content by loss-on-ignition, liquid limit of 78% (not oven-dried), liquid limit of 51% (oven-dried), and plasticity index of 34%. He uses the USCS calculator's organic content mode, which determines the LL ratio is 0.65 (51/78), well below the 0.75 threshold. The calculator classifies the soil as OH (organic clay). This classification triggers a major project decision point: the structural engineer determines the OH material cannot support the planned shallow spread footings due to very high compressibility and low bearing capacity. David's team excavates and removes 2.3 meters of the organic clay layer, replacing it with engineered fill (classified as SW-SM from a tested borrow source), adding $127,000 to project costs but preventing potential foundation failure and long-term settlement problems that would have cost far more.
Frequently Asked Questions
Why does my soil classification change when fines content goes from 11% to 13%? +
What's the difference between USCS and AASHTO soil classification systems? +
How do I classify soil when the plasticity index plots right on the A-line? +
Why do my gradation coefficients indicate well-graded soil but it looks uniform in the field? +
Can I use USCS classification alone to determine allowable bearing capacity? +
What does it mean when different laboratories give me different USCS classifications for the same soil? +
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About the Author
Robbie Dickson — Chief Engineer & Founder, FIRGELLI Automations
Robbie Dickson brings over two decades of engineering expertise to FIRGELLI Automations. With a distinguished career at Rolls-Royce, BMW, and Ford, he has deep expertise in mechanical systems, actuator technology, and precision engineering.