🏗️ Ali4Concrete — Ultimate Sieve Analysis & Geotechnical Toolkit

Engineering Certainty for Concrete & Aggregate via ASTM & Python

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Founder & Lead Developer: Eng. Ali Abdulameer Mohammed
Computational Civil Engineer

✉️ [email protected] | 🔗 LinkedIn | ▶️ YouTube

🔬 Standards & Compliance Engine

This computational framework automates Grain Size Distribution (GSD) analysis, mathematically predicts missing sieve passing percentages using Semilogarithmic (Log-Linear) Interpolation, and extracts critical geotechnical parameters.

• ASTM C136 / C117: Standard Test Method for Sieve Analysis of Fine and Coarse Aggregates.
• ACI E1 (0.3% Mass Rule): Strictly validates that total mass loss during sieving does not exceed 0.3% of the original dry mass.
• ACI E1 (0.1% Precision): All passing percentages are calculated and rounded to the nearest 0.1% for superior reporting hygiene.

🧮 Advanced Prediction & Geotechnical Classification

1. The Sieve Gap Ratio (SGR) Metric

To ensure the mathematical prediction represents the physical aggregate accurately, the engine calculates the SGR ($D_{upper} / D_{lower}$). If SGR > 2.5, a warning is issued to physically include more sieves, preventing false predictions for gap-graded materials.

2. Automatic Soil Classification (D10, D30, D60)

The engine utilizes inverse log-linear interpolation to dynamically extract the effective sizes and compute the Uniformity Coefficient ($C_u$) and Coefficient of Gradation ($C_c$) to automatically classify the aggregate as Well-Graded or Poorly/Gap-Graded.