For sieve analysis of the same Aggregate Sub-base course, how many samples should be submitted?

In sieve analysis for an Aggregate Sub-base course, the selection of the number of samples is critical to ensure a representative and accurate assessment of the aggregate’s size distribution. The standard practice generally calls for a sufficient number of samples to capture variations in the material being analyzed.

When the answer specifies 17 samples, it reflects a common industry standard that balances statistical reliability with practicality. The intention behind selecting this quantity is to achieve an adequate representation of the aggregate characteristics, enabling engineers to make informed decisions regarding material properties and suitability for construction applications. Analyzing multiple samples helps account for variability within the aggregate, which can arise from differences in batch compositions or sourcing.

Using fewer samples may not provide an accurate representation, potentially leading to misleading results in the aggregate gradation, while significantly more than 17 could unnecessarily increase testing costs without providing meaningful additional information. The choice of 17 thus represents a judicious balance in the context of practical engineering requirements.