NivaarExam PrepOfficial exam papers ↗

16-Civ-B11 Structural Materials · December 2017

Question 2 of 5: Aggregate Testing and Sieve Analysis

Nivaar worked solution (AI-drafted; not reviewed by a licensed engineer)

Notes on this paper

Paper format. National Examinations, December 2017 — 16-Civ-B11 Structural Materials. Three hours; OPEN BOOK, one textbook of the candidate's choice, no handwritten material; any non-communicating calculator. Five questions, all to be answered, all of equal weight (20 marks each, 100 total). Numerical questions require all working to be shown; non-numerical answers are marked on clarity and organisation.

Reference texts. Mamlouk & Zaniewski, Materials for Civil and Construction Engineers, 4th ed. (the core text for this paper); Neville, Properties of Concrete, 5th ed.; CSA A23.1/A23.2 Concrete Materials and Methods of Concrete Construction / Test Methods; ACI 214R Guide to Evaluation of Strength Test Results of Concrete; Asphalt Institute MS-2 Asphalt Mix Design Methods, 7th ed.; ASTM C33/C88/C127/C128/C136 (aggregates), ASTM D6926/D6927 (Marshall); CSA O86 Engineering Design in Wood and the Canadian Wood Council Wood Design Manual; CSA G40.20/G40.21 and CISC Handbook of Steel Construction.

Question 2: Aggregate Testing and Sieve Analysis (20 marks)

Question text not reproduced: the examination questions are © Engineers and Geoscientists BC. Open the official past paper (linked at the top of this page) to read the question, then follow the worked solution below.

Part (a) — Significance and use of the three tests (6 marks)

I. Specific gravity and absorption (ASTM C127 for coarse, C128 for fine aggregate). The test reports the bulk, bulk saturated-surface-dry and apparent specific gravities together with the absorption, i.e. the mass of water the pores take up expressed as a percentage of the oven-dry mass. Its significance is that every mix proportioning calculation is a volume calculation dressed up as a mass calculation: the bulk specific gravity converts the batch masses into the absolute volumes that must add to a cubic metre, and it is the same quantity that appears as Gsb in the VMA formula for asphalt mixtures. Its use in practice is threefold — batching concrete and asphalt by volume, correcting the mixing water for aggregate that is drier or wetter than saturated-surface-dry, and screening aggregates, since an unusually low specific gravity together with a high absorption points to a porous, frost-susceptible particle.

II. Soundness (ASTM C88, sodium or magnesium sulphate). A graded sample is cycled five times through immersion in a saturated sulphate solution and oven drying; salt crystallising in the pores generates internal pressures comparable with those from freezing water, and the loss is reported as the weighted percentage of material that breaks down. Its significance is that it is an accelerated durability index — it predicts whether an aggregate will disintegrate under weathering rather than whether it is strong today. Its use is in acceptance of aggregate for exposed concrete, for pavement surfacings and for any Canadian application subject to freeze-thaw and de-icing salt, where typical limits are of the order of 12 % loss with sodium sulphate and 18 % with magnesium sulphate.

III. Sieve analysis (ASTM C136). A dried, weighed sample is shaken through a nest of standard sieves and the mass retained on each is converted to percent passing, from which the gradation curve, the fineness modulus and the nominal maximum size follow. Its significance is that gradation controls the packing of the aggregate skeleton, and packing in turn controls void content, and void content controls how much paste or binder the mixture needs. A well-graded aggregate needs less cement or asphalt for the same workability, so it is cheaper, shrinks less and is more durable. Its use is in compliance testing against a specification envelope such as ASTM C33, in proportioning concrete and asphalt mixtures, in blending two or three stockpiles to hit a target curve, and in routine production control, where a shift in the curve is the first warning that a crusher setting or a stockpile has changed.

Part (b) — Sieve analysis and fineness modulus (14 marks)

Given. A single dry aggregate sample was sieved and the mass retained on each sieve recorded, with the material passing the finest sieve collected in the pan.

Sieve analysis data as supplied
Sieve size (mm)Mass retained (g)
250
9.535.2
4.75299.6
2.00149.7
0.425125.8
0.07560.4
Pan7.3

Find. The percent retained, cumulative percent retained and percent passing for every sieve; the fineness modulus of the sample; and a gradation curve of percent passing against sieve size with a comment on the shape of that curve.

Approach. Sum the retained masses to recover the total dry mass, convert each retained mass to a percentage of that total, accumulate down the nest to get cumulative percent retained and hence percent passing, add the cumulative percentages to obtain the fineness modulus, then plot percent passing against sieve size on a logarithmic size axis and read the shape.

  1. Part (b), step 1 — recover the total dry mass. The total is the sum of everything retained plus the pan: $$M_{\text{total}}=\sum M_{i}+M_{\text{pan}} =(0+35.2+299.6+149.7+125.8+60.4)+7.3$$ $$\boxed{M_{\text{total}}=678.0\ \text{g}}$$ Recovering the total this way rather than from the mass weighed out before sieving is deliberate: ASTM C136 requires the two to agree within 0.3 %, and any larger discrepancy means material was lost and the test must be repeated.
  2. Part (b), step 2 — percent retained on each sieve. Each retained mass becomes a percentage of the total, $$R_{i}=\frac{M_{i}}{M_{\text{total}}}\times100$$ so the 4.75 mm sieve, for instance, gives $R=299.6/678.0\times100=44.19\ \%$. Working down the nest produces 0.00, 5.19, 44.19, 22.08, 18.55 and 8.91 %, with 1.08 % in the pan; these sum to 100 % as they must.
  3. Part (b), step 3 — cumulative percent retained and percent passing. Accumulating from the coarsest sieve downwards and subtracting from 100 gives the two columns the specification is written against: $$C_{i}=\sum_{j\le i}R_{j},\qquad P_{i}=100-C_{i}$$ The results are tabulated below. The sample is 100 % finer than 25 mm, 50.6 % passes the 4.75 mm sieve and only 1.1 % is finer than 0.075 mm, so this is a well-cleaned mixed coarse-and-fine aggregate rather than either a concrete sand or a clean coarse stone.
  4. Part (b), step 4 — fineness modulus. The fineness modulus is the sum of the cumulative percentages retained on the sieves of the standard series, divided by 100: $$FM=\frac{\sum C_{i}}{100} =\frac{0.00+5.19+49.38+71.46+90.01+98.92}{100}$$ $$\boxed{FM=3.15}$$ Physically the fineness modulus is the average sieve size of the sample expressed on a doubling scale, so a larger value means a coarser aggregate; 3.15 sits just above the 2.3 to 3.1 band that ASTM C33 allows for concrete sand, which is consistent with a sample that still holds nearly half its mass above the 4.75 mm sieve.
  5. Part (b), step 5 — plot and characterise the gradation. Percent passing is plotted against sieve size on a logarithmic size axis, which is what turns a well-graded aggregate into a smooth, gentle S-curve. Reading the plotted curve at the three standard percentages gives $D_{10}=0.426\ \text{mm}$, $D_{30}=2.12\ \text{mm}$ and $D_{60}=5.50\ \text{mm}$, so $$C_{u}=\frac{D_{60}}{D_{10}}=\frac{5.50}{0.426}=12.9,\qquad C_{c}=\frac{D_{30}^{2}}{D_{10}D_{60}}=\frac{2.12^{2}}{0.426\times5.50}=1.92$$ $$\boxed{C_{u}=12.9\ (\gt 4)\ \text{and}\ C_{c}=1.92\ (\text{between 1 and 3}) \Rightarrow\ \text{well graded}}$$
0.05 0.1 0.5 1 5 10 50 0 20 40 60 80 100 Sieve size, mm (log scale) Percent passing, % 1.1 10.0 28.5 50.6 94.8 100.0 Q2(b) gradation curve, percent passing versus sieve size
Figure 2.1 — gradation curve for the sample: percent passing against sieve size on a logarithmic size axis, with the percent passing labelled at each sieve.

Comment on the gradation. The curve is a continuous, smoothly rising S-shape with no flat step and no vertical segment, and it spans the whole range from 25 mm down to 0.075 mm. That shape, confirmed by a uniformity coefficient of 12.9 and a curvature coefficient of 1.92, is the definition of a well-graded (dense-graded) aggregate: every particle size is represented in the proportions needed for the smaller particles to fill the voids between the larger ones. Practically this means a low void content, so the mixture will need comparatively little cement paste or asphalt binder, will be economical, will compact readily and will develop good aggregate interlock and stability. Two contrasting shapes are worth naming for comparison: a curve that is steep over a narrow band and flat elsewhere is uniformly graded (single-sized, high voids), and a curve with a horizontal plateau where one or more intermediate sizes are missing is gap graded, which is prone to segregation. The only caution here is the small deficiency of the very finest sizes, with barely 10 % passing 0.425 mm, which would need checking against ASTM C33 if the material were intended as a combined aggregate for structural concrete.

Question 2(b) — sieve analysis results
Sieve (mm)Mass retained (g)Retained (%)Cumulative retained (%)Passing (%)
250.00.000.00100.0
9.535.25.195.1994.8
4.75299.644.1949.3850.6
2.00149.722.0871.4628.5
0.425125.818.5590.0110.0
0.07560.48.9198.921.1
Pan7.31.08100.00—
Total dry mass678.0 g
Fineness modulusFM = 3.15
GradationWell graded: Cu = 12.9, Cc = 1.92

Check: the fineness modulus has been formed from the six sieves the question supplies. The strict ASTM C125 definition uses the doubling series 0.150, 0.300, 0.600, 1.18, 2.36, 4.75, 9.5, 19.0, 37.5 mm, and the 25, 2.00, 0.425 and 0.075 mm sieves given here belong to the soil-classification series instead. Using the data as supplied is the only defensible reading of the question; a fineness modulus computed on the true standard series from the same material would differ slightly.