Understanding Concrete Strength Variation through Standard Deviation

Concrete is a crucial construction material, and assessing its compressive strength is vital. The standard deviation method gauges the consistency of compressive strength results within a concrete batch. This statistical approach helps control variations in test results for a specific concrete batch.

Explaining Standard Deviation

In simpler terms, standard deviation illustrates the spread or diversity of results from the mean or expected value. It uses statistical analyses like correlation, hypothesis testing, analysis of variance, and regression analysis to compare compressive strength series for concrete batches.

Two Methods of Calculating Standard Deviation

1. Assumed Standard Deviation

If there are insufficient test results, an assumed standard deviation is used. Once a minimum of 30 cube test samples is available, the derived standard deviation is calculated based on the IS-456 Table 8. The assumed standard deviation values are determined according to the concrete grade.

Table 1: Assumed Standard Deviation

Sl.No Grade of Concrete Characteristic Compressive Strength (N/mm2) Assumed Standard Deviation (N/mm2)
1 M10 10 3.5
2 M15 15
3 M20 20 4

Note: Values are site-control-dependent, emphasizing proper storage, batching, water addition, and regular quality checks.

2. Derived Standard Deviation

When more than 30 test results are available, the standard deviation is derived using the formula:
ϕ=∑(x−μ)2n−1

Where:

  • ϕ: Standard Deviation
  • μ: Average Strength of Concrete
  • n: Number of Samples
  • x: Crushing value of concrete in N/mm2

A lower standard deviation indicates better quality control, aligning test results closely with the mean value.

Understanding Standard Deviation Variation

Fig 1: Variation Curve for Standard Deviation

The permissible deviation in mean compressive strength, as outlined in IS-456 Table No-11, is crucial for compliance.

Table 2: Characteristic Compressive Strength Compliance Requirement

Specified Grade Mean of Group of 4 Non-Overlapping Consecutive Test Results (N/mm2) Individual Test Results (N/mm2)
M-15 fck+0.825×Derived Standard Deviation ≥fck−3 N/mm2
M-20 and above fck+0.825×Derived Standard Deviation ≥fck−4 N/mm2

Example Calculation for M60 Grade Concrete

A concrete slab of 400Cum was poured, and 33 cubes were cast for a 28-day compressive test. The standard deviation for these 33 cubes is calculated below.

Table 3: Test Result of Concrete Cubes

SL No Weight of the Cube (Kg) Max Load (KN) Density (Kg/Cum) Compressive Strength (Mpa) Remarks
1 8.626 1366 3594.2 60.71 Pass
2 8.724 1543 3635.0 68.57 Pass

Table 4: Calculation of Standard Deviation

Sum of (x−μ)2=1132.55 Standard Deviation=1132.5533−1=5.94 N/mm2

As per IS-456, for concrete of grade above M-20,

fck+0.825×Derived Standard Deviation=60+0.825×5.94=64.90 N/mm2

fck+4 N/mm2=60+4=64 N/mm2

The higher value is considered, leading to a Standard Deviation of 64.90 N/mm2.

Considering the average compressive strength of 65.12 N/mm2 from Table-3, it surpasses the standard deviation 64.90 N/mm2.

Conclusion

Despite five cubes having results below 60 N/mm2, the standard deviation calculation suggests concrete approval, and non-destructive tests are not mandated. This highlights the importance of statistical methods in ensuring concrete quality.

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