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18-Geol-A6 Soil Mechanics · December 2019

Question 2 of 6: Soil Physical Properties

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

Notes on this paper

National Exams, December 2019 — 18-Geol-A6, Soil Mechanics (3 hours, closed book). Six questions constitute a complete exam: Questions 1–5 are compulsory; for Question 6, candidates choose 3 of 8 optional sub-questions (5 marks each) — all 8 are solved below as a complete study resource.

Reference texts: Das, Principles of Geotechnical Engineering; Craig's Soil Mechanics (Craig & Knappett); Freeze & Cherry, Groundwater (seepage/flow-net topics).

graphically-read values (compaction curve extrapolation, oedometer Casagrande construction, flow-net equipotential positions) are flagged with individual check callouts below where the read/assumed value materially affects the answer.

Question 2: Soil Physical Properties (15 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.

0 2 4 6 8 10 12 14 16 18 1700 1750 1800 1850 1900 1950 2000 2050 2100 2150 Water content, w (%) Dry density (kg/m3) w=4%, ρd≈1868 kg/m³ Standard Proctor OMC=9.2%, MDD=2050 — Standard — Modified --- S=100/95/90%
Standard and modified Proctor compaction curves, with the $S=100/95/90\%$ zero-air-voids family and the $w=4\%$ read-off point used in part (c).

(a)–(b) Curve labelling and interpretation

(a) Vertical axis: dry density, $\rho_d$ (kg/m$^3$), range $1700$–$2200$; horizontal axis: moulding water content, $w$ (%), range $0$–$20\%$.

(b)(i) The Standard Proctor curve (12,400 J/m$^3$ compactive effort) rises from a low dry density at low $w$, peaks near $w\approx 9.2\%$ at $\rho_{d,\max}\approx 2050\text{ kg/m}^3$, then falls on the "wet side" as extra pore water begins to occupy space the solids would otherwise fill. (ii) The Modified Proctor curve (56,000 J/m$^3$, roughly $4.5\times$ the standard effort) is shifted up and left of the standard curve: higher compactive energy squeezes air out more effectively at any given $w$, so the peak dry density is higher ($\approx 2130\text{ kg/m}^3$) and occurs at a lower optimum water content ($\approx 8\%$), because less water is needed to lubricate particle rearrangement when more mechanical energy is available. (iii) Standard Proctor: $OMC\approx 9.2\%$, $MDD\approx 2050\text{ kg/m}^3$ ($\gamma_{d,\max}\approx 20.1\text{ kN/m}^3$). Modified Proctor: $OMC\approx 8.0\%$, $MDD\approx 2130\text{ kg/m}^3$ ($\gamma_{d,\max}\approx 20.9\text{ kN/m}^3$). (iv) The line of optimums is the locus joining the peak point of every compaction curve for the same soil at increasing compactive effort (standard → modified → …); it runs roughly parallel to, and just below, the $S=90\%$ zero-air-voids curve, since achievable peak density is bounded by (but never reaches) $100\%$ saturation.

(c) Phase relations at $w=4\%$

Given. Standard Proctor data points $(w\%,\rho_d\text{ kg/m}^3)$: $(6,1975),(7.5,2025),(9.2,2050),(10.8,2040),(12.2,2010)$; test water content $w=4\%$; assume $G_s=2.70$ (not printed on this exam page — a typical value for this soil's mineralogy, flagged below).

Find. Void ratio $e$, degree of saturation $S_r$, total unit weight $\gamma_t$, volumetric water content $\theta$, porosity $n$, dry density $\rho_d$ at $w=4\%$.

Check: $w=4\%$ sits below the lowest tested Standard Proctor point ($w=6\%$); $\rho_d$ at $4\%$ is read from a least-squares parabola fit through the five printed Standard Proctor points, extrapolated slightly left of the data — the dry-side data are sparse here so this is a short, defensible extrapolation, not an interpolation. $G_s=2.70$ is also assumed (a typical value for a silty/sandy soil) since no specific gravity is printed anywhere on this exam.

Approach. Fit the five Standard Proctor points to get $\rho_d(4\%)$, then work through the standard phase-relation identities from $\rho_d$, $w$, and $G_s$.

  1. Extrapolate $\rho_d$ at $w=4\%$. Least-squares quadratic through the five Standard Proctor points gives $\rho_d = -5.87w^2+112.4w+1512$ (kg/m$^3$, $w$ in %); at $w=4\%$: $$\boxed{\rho_d(4\%) = 1868\text{ kg/m}^3}$$
  2. (i) Void ratio. $e=\dfrac{G_s\rho_w}{\rho_d}-1=\dfrac{2.70\times 1000}{1868}-1=\boxed{0.446}$
  3. (ii) Degree of saturation. $S_r=\dfrac{wG_s}{e}=\dfrac{0.04\times 2.70}{0.446}=\boxed{24.2\%}$
  4. (iii) Total unit weight. $\rho_t=\rho_d(1+w)=1868(1.04)=1943\text{ kg/m}^3$, so $\gamma_t=\rho_t g = 1943\times 9.81/1000=\boxed{19.06\text{ kN/m}^3}$ (and $\gamma_d=1868\times9.81/1000=18.32\text{ kN/m}^3$).
  5. (iv) Volumetric water content. $\theta=\dfrac{w\rho_d}{\rho_w}=\dfrac{0.04\times 1868}{1000}=\boxed{7.47\%}$
  6. (v) Porosity. $n=\dfrac{e}{1+e}=\dfrac{0.446}{1.446}=\boxed{30.8\%}$
  7. (vi) Dry density. Already found in step 1 above: $\rho_d=\boxed{1868\text{ kg/m}^3}$.
Phase relations at $w=4\%$ ($G_s=2.70$ assumed)
$\rho_d$$e$$S_r$$\gamma_t$$\theta$$n$
1868 kg/m$^3$0.44624.2%19.06 kN/m$^3$7.47%30.8%

(d) Truck count for the 50 m$^3$ excavation

Given. Specification: compact to $102\%$ of Standard Proctor MDD ($\rho_{d,\max}=2050\text{ kg/m}^3$) at $OMC=9.2\%$; excavation volume $V=50\text{ m}^3$; truck capacity $10\text{ Mg}$ each, soil delivered at OMC.

Find. Number of truckloads required.

Approach. Convert the target field dry density to a target moist (in-place) mass for the full 50 m$^3$, then divide by truck capacity.

  1. Target field dry density. $\rho_{d,\text{field}}=1.02\times 2050=2091\text{ kg/m}^3$.
  2. Target field moist density at OMC. $\rho_{t,\text{field}}=\rho_{d,\text{field}}(1+w)=2091(1.092)=2283\text{ kg/m}^3$.
  3. Moist mass needed to fill 50 m$^3$ compacted. $m=\rho_{t,\text{field}}\times V=2283\times 50=114{,}170\text{ kg}=114.17\text{ Mg}$.
    Check: assumes the soil is delivered and placed with no net bulking/shrinkage volume change beyond compaction itself (no swell factor given in the question) — i.e., truck-delivered moist mass equals the moist mass that ends up compacted in place.
  4. Trucks required. $n=114.17/10=11.42$ → round UP to a whole truckload: $$\boxed{n = 12\text{ truckloads}}$$
Truck-count summary
Target $\rho_d$ (field)Target $\rho_t$ (field, at OMC)Moist mass neededTrucks (10 Mg)
2091 kg/m$^3$2283 kg/m$^3$114.17 Mg12