Fineness Modulus (FM) blending – compute required proportion (choose the nearest) You are to combine a fine aggregate with FM = 2.6 and a coarse aggregate with FM = 6.8 to obtain a combined FM of 5.4. What percentage of the fine aggregate should be used (choose the nearest among the options)?
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A30%
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B40%
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C50%
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D60%
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E20%
Answer
Correct Answer: 30%
Explanation
Introduction / Context:Fineness modulus (FM) is a single-number index indicating aggregate coarseness. By blending a fine and a coarse aggregate, a target FM can be achieved for better grading and workability. This is a linear blending problem frequently used in mix design.
Given Data / Assumptions:
- Fine aggregate FM (F1) = 2.6.
- Coarse aggregate FM (F2) = 6.8.
- Target combined FM (Ft) = 5.4.
- Let p = proportion (by mass) of the fine aggregate in the blend.
Concept / Approach:For two-aggregate blends, combined FM is approximately the weighted average: Ft = pF1 + (1 - p)F2. Solve for p and convert to percentage. Choose the nearest option provided, since plant control and sieve rounding yield small deviations.
Step-by-Step Solution:Write relation: 5.4 = p2.6 + (1 - p)6.8Expand: 5.4 = 2.6p + 6.8 - 6.8p = 6.8 - 4.2pRearrange: 4.2p = 6.8 - 5.4 = 1.4Compute: p = 1.4 / 4.2 = 0.333… = 33.33%Select the closest among the options: 30%
Verification / Alternative check:Check with 30% fine: FM = 0.302.6 + 0.706.8 = 0.78 + 4.76 = 5.54 (slightly high). With 40% fine: FM = 5.16 (slightly low). The exact 33.3% lies between; batching tolerances make 30% a reasonable nearest choice for this question.
Why Other Options Are Wrong:
- 40%, 50%, 60%, 20% deviate more from the computed 33.3% than 30% does, based on the provided discrete options.
Common Pitfalls:Assuming FM blending is non-linear; for practical purposes, linear blending works well when the two aggregates are from stable sources and the same sieve series is used.
Final Answer:30%