Concrete Strength Acceptance Calculator
Switches between statistical and non-statistical criteria automatically.
With the default inputs: Strength grade C30 · Number of specimens 10 sets · Mean strength mfcu 35 MPa etc.Acceptance result Accept
Edit the inputs below to recalculate.Inputs
Result
| Grade fcu,k | 30MPa |
| Method | Statistical method (n ≥ 10) |
| λ1 | 1.15 |
| λ2 | 0.90 |
| Mean requirement | 31.73MPa |
| Mean margin | 3.27MPa |
| Minimum requirement | 27.00MPa |
| Minimum margin | 6.00MPa |
Per GB/T 50107-2010, batches of 10 or more specimens use the statistical method, fewer use the non-statistical method. The statistical method requires both the mean and the minimum condition to be met. The non-statistical method demands a higher mean (1.15×) because without a standard deviation it cannot see scatter. The standard deviation must be computed from all specimens in the batch. Sampling frequency, specimen preparation and curing are outside this check; the formal verdict rests with the testing body.
Reverse: known result, work out one input
Enter a target result; the other inputs stay fixed and this one is worked out.
Formula
| Statistical · mean | mfcu ≥ fcu,k + λ1·Sfcu |
| Statistical · minimum | fcu,min ≥ λ2·fcu,k |
| λ1 / λ2 | 10-14: 1.15 / 0.90; 15-24: 1.05 / 0.85; ≥25: 0.95 / 0.85 |
| Non-statistical | mfcu ≥ 1.15·fcu,k (1.10 for ≥C60), fcu,min ≥ 0.95·fcu,k |
How to work it out
- Count the test groups n, which decides between the statistical and non-statistical method. Ten or more groups use the statistical method; fewer than ten use the non-statistical method. This is the first fork in the assessment.
- The statistical method needs the mean and the standard deviation. The standard deviation reflects scatter, and a low value indicates a well-controlled plant.
- Select coefficients by n: 1.15 and 0.90 for 10-14 groups; 1.05 and 0.85 for 15-24; 0.95 and 0.85 for 25 and above. More groups allow a lower mean requirement because the statistical confidence is higher.
- The statistical method has two simultaneous conditions: mean ≥ fcu,k + λ1 × S, and minimum ≥ λ2 × fcu,k. Both must hold; failing either fails the batch.
- The non-statistical method also has two: mean ≥ 1.15 × fcu,k (1.10 for C60 and above), and minimum ≥ 0.95 × fcu,k.
- Record any failure properly: commission an accredited laboratory for cores or rebound corrected by cores, or have the designer check structural adequacy. Do not declare compliance yourself.
Where it goes wrong
- Using the statistical method with too few groups. Below ten, the standard deviation carries no statistical meaning. Conversely, using the non-statistical method with ten or more groups applies an unnecessarily strict criterion and fails batches that comply.
- Checking only one of the two conditions. An adequate mean with an inadequate minimum, or the reverse, still fails. This is the most common misjudgement.
- Computing the wrong standard deviation. The code requires the sample standard deviation (dividing by n − 1); the population form (dividing by n) gives a smaller value and a lenient verdict.
- Confusing 28-day with 7-day strength. Seven-day strength is typically 70-80% of 28-day and may only be used for early indication, never for assessment.
- Keeping 1.15 for C60 and above. High-strength concrete has its own reliability requirement, set at 1.10; using 1.15 misjudges the result.
Material and cost
Making, curing and testing one group of three cubes costs 30-80 CNY. Remedial action is expensive: core testing 300-800 CNY per core, and structural strengthening (bonded steel, carbon fibre, section enlargement) several hundred to over a thousand per square metre. Compliant sampling and curing discipline matters far more than saving on cubes.
On site
- Sample randomly at the point of placing, never select favourable cubes. Standard curing is 20±2°C at 95% relative humidity or above; cubes left lying on site do not represent the structure.
- Cubes cured alongside the structure indicate striking and stressing times; they are not valid for strength assessment. Different purposes entirely.
- A large standard deviation, typically over 4.5 MPa, signals poor plant control. Even with a compliant mean, the minimum is likely to fail.
- Batches are formed from the same grade, same mix and same production run. Never assess different grades together.
Basis
- GB/T 50107-2010 Standard for evaluation of concrete compressive strength
- GB 50204-2015 Code for acceptance of construction quality of concrete structures, concrete works
- GB/T 50081-2019 Standard for test methods of physical and mechanical properties of concrete
FAQ
Why switch to a stricter method below 10 specimens?
Can a batch pass if the mean is fine but the minimum is not?
Which data should the standard deviation come from?
Cite this page
Use this format in reports, method statements or coursework. The link is permanent.
Building Calculator. Concrete Strength Acceptance Calculator. 2026-10-25. https://jianzhujisuan.com/en/concrete-test-strength