The University of Sydney · FACULTY OF ENGINEERING

CIVL2410 Chap.2 Particle size distributions: sieving and sedimentation

- one subject, every graph, every model, every mark
11 Chapters6-page Bible
Our own words - no uploaded lecturer files
Updated for this semester
Chapter 2 of 15 · CIVL2410

Particle size distributions: sieving and sedimentation

Particle size is the cheapest useful measurement in geotechnical engineering, and it correlates with permeability, compressibility and strength. Two quite different experiments produce it, meeting at a boundary of about 75 microns: mechanical separation by sieving above it, and hydraulic separation by settling below it.

This chapter works both, stitches them into one grading curve, and extracts the three characteristic diameters and two coefficients that the classification chapter turns into a symbol.

In this chapter

What this chapter covers

  • 01

    Why grain size is classified at all, and what it stands in for

  • 02

    The size bands: clay, silt, sand and gravel, and where the boundaries fall

  • 03

    The sieve stack, and the closure check that protects the whole curve

  • 04

    Turning masses retained on trays into percentage passing

  • 05

    Stokes drag and the terminal velocity of a settling particle

  • 06

    The hydrometer, what its reading physically means, and the depth correction

  • 07

    Why the reported fine diameter is an equivalent settling diameter

  • 08

    Plotting percentage finer against a logarithmic diameter axis

  • 09

    Reading D10, D30 and D60, and interpolating in the logarithm

  • 10

    Uniformity and curvature coefficients, and the defect each one detects

  • 11

    Particle shape: roundness, sphericity, and why they matter for strength

Worked example · free

A sieve test worked to a grading verdict

Q [5 marks]. A 500 g oven dried sand is sieved and the masses retained are: 4.75 mm nil; 2.36 mm 30 g; 1.18 mm 60 g; 600 microns 120 g; 300 microns 140 g; 150 microns 90 g; 75 microns 40 g; pan 20 g. Find the percentage passing each mesh and the two grading coefficients. (5 marks) The mark allocation is our own and is not an official university marking scheme.
  • +1Accumulate the retained masses down the stack: 0, 30, 90, 210, 350, 440, 480, 500 g. The last figure equals the sample mass, so nothing has been lost in the sieves.
  • +1Percentage passing is 100 minus cumulative retained over total, giving 100, 94, 82, 58, 30, 12 and 4 per cent at the seven meshes.
  • +1Interpolate logarithmically between bracketing points: 60 per cent passing lies between 0.60 mm at 58 per cent and 1.18 mm at 82 per cent, giving D60 = 0.635 mm.
  • +130 per cent passing lands exactly on the 0.30 mm mesh, so D30 = 0.30 mm; 10 per cent lies between 0.075 mm at 4 per cent and 0.15 mm at 12 per cent, giving D10 = 0.126 mm.
  • +1Cu = 0.635 / 0.126 = 5.0 and Cc = 0.30 squared divided by (0.635 x 0.126) = 1.1.
The curvature coefficient of 1.1 sits inside the acceptable window, but the uniformity coefficient of 5.0 describes a narrow spread of sizes. Classification treats this as a poorly graded sand, since a sand needs a uniformity above 6 to count as well graded. The same two numbers in a gravel would have passed, because the threshold for gravels is lower.
Sia tip — Interpolate in the logarithm of the diameter, not in the diameter itself. Between 0.075 and 0.15 mm the linear route returns about 0.135 mm instead of 0.126 mm, which shifts the uniformity coefficient by roughly 7 per cent and can flip a borderline classification.
Glossary

Key terms

Grading curve
Percentage finer plotted against particle diameter on a logarithmic axis. Its shape says how wide a range of sizes the soil contains, and three diameters read off it carry most of the engineering information.
Uniformity coefficient
D60 divided by D10, comparing the two ends of the curve. A large value means a wide spread of sizes; a value near one means almost every grain is the same size.
Curvature coefficient
D30 squared divided by the product of D60 and D10. It tests whether the curve is smooth between its ends, which is how a gap graded soil is detected.
Equivalent settling diameter
The diameter of the sphere that would fall at the same speed as the particle actually measured. Clay particles are plates, so this is a usable engineering quantity rather than a physical width.
Hydrometer test
A sedimentation method that infers fine particle sizes from how fast a suspension clears, using Stokes law and a depth correction for the instrument's own length.
FAQ

Particle size distributions: sieving and sedimentation FAQ

Why are two different tests needed for one curve?

Because mechanical separation stops working at small sizes. A sieve needs an opening that can be manufactured and grains large enough not to clog it, and below about 75 microns neither condition holds. The fine fraction is therefore sized hydraulically instead, by dispersing it in water and reading how fast it settles.

The two halves are stitched into one continuous curve, which is how a grading curve can span four orders of magnitude of diameter, but they carry different uncertainties and the fine end is the one to suspect first.

What does the curvature coefficient add that uniformity does not?

It looks at the middle of the curve rather than its ends. A gap graded soil that is missing a band of intermediate sizes can still span a very wide range overall, so it posts an excellent uniformity coefficient while being a poor engineering material, because the absent sizes cannot fill the voids between the coarse grains.

Curvature is the test that catches exactly that, which is why a soil has to pass both before it is called well graded.

Two laboratories report different clay fractions for the same soil. Who is wrong?

Possibly neither. Clay platelets stick together into flocs that settle like a single much larger particle, so a poorly dispersed suspension hides fine material and under reports the clay fraction. The laboratory using a stronger dispersing agent and longer mixing is closer to the true distribution, which is why dispersion procedure is specified rather than left to the operator.

The wider lesson is that a sedimentation result depends on how the particles behave in suspension, not only on their geometry.

Study strategy

Exam move

Practise the sieve arithmetic until the four column layout is automatic, because it appears in the laboratory report as well as in short assessment items, and the arithmetic is where the marks are lost rather than the concept. Always run the closure check before plotting, since a grading curve built from a broken mass balance looks perfectly plausible.

When reading characteristic diameters, write the logarithms in a spare column and interpolate those; doing it by eye on a logarithmic axis is the single most common source of a wrong coefficient. Finally, learn what each coefficient detects rather than the formulas, because the data sheet supplies the formulas and the examiner is asking which defect you have found.

Working through Particle size distributions: sieving and sedimentation in CIVL2410? Sia is AskSia’s AI Engineering tutor — ask any CIVL2410 Particle size distributions: sieving and sedimentation question and get a clear, step-by-step explanation grounded in how CIVL2410 is taught and assessed. Read this chapter free, then take your hardest questions to Sia.

A+Everything unlocked
Unlocks this Bible + all 60 of your The University of Sydney subjects - and 1,000+ Bibles across every Australian university.
Sia - your CIVL2410 tutor, unlimited, worked the way the exam marks it
The full 6-page Bible + practice bank with worked solutions
Chrome extension - sync your LMS so Sia knows your deadlines
Bilingual EN / Chinese on every Bible and every Sia answer
$0.99 Trial
30-day money-back · cancel in one tap · how it works
Unlock the full CIVL2410 Bible + 60 The University of Sydney subjects
$0.99 Trial