electricsheepafrica/construction-quality-control

Construction Quality Control Dataset

This dataset contains synthetic data for construction quality control based on statistical analysis of concrete strength and standard quality control practices.

Dataset Description

The dataset includes quality control metrics:

• Compressive strength test results
• Standard deviation values
• Coefficient of variation
• Target mean strength calculations
• Acceptance criteria compliance
• Quality level classifications (Excellent, Good, Fair, Poor)

Sources

Parameter Evidence Table

Parameter	Source	Details
Standard deviation 3-6 MPa	ACI standards	Typical for good quality control
Coefficient of variation 5-15%	ResearchGate/ACI	Typical range
Log-normal distribution	Yadav et al. (2022)	Revista Ingeniería de Construcción Chile, DOI: 10.1016/j.rimni.2022.03.001
Statistical analysis Saudi	Aichouni et al. (2017)	International Journal of Advanced and Applied Sciences
IS 456 / ACI 318 formula	Standard	f_m = f_ck + 1.65σ
Excellent quality std dev 2-3 MPa	Quality standards	<5% CoV
Good quality std dev 3-4 MPa	Quality standards	5-8% CoV
Fair quality std dev 4-6 MPa	Quality standards	8-12% CoV
Poor quality std dev 6-10 MPa	Quality standards	>12% CoV
7-day strength 65-75% of 28-day	Standard	Age-strength relationship
14-day strength 85-90% of 28-day	Standard	Age-strength relationship
56-day strength 105-110% of 28-day	Standard	Long-term strength gain

Geographic Coverage

• International standards applied to Nigerian construction
• Reference to Saudi Arabian case study for methodology

License

Creative Commons Attribution 4.0 International (CC BY 4.0)

File Structure

• high.csv - High burden variant
• moderate.csv - Moderate burden variant
• low_burden.csv - Low burden variant
• generate_dataset.py - Dataset generation script