A computer-based civil engineering project using mix proportions to estimate compressive strength trends.
Project objective
Analyze concrete mix data and create a simple model that predicts compressive strength based on cement, water-cement ratio, aggregate, and curing age.
Suggested materials or data
- Concrete mix dataset
- Excel, Python, or similar tool
- Basic statistics and charts
- Optional lab cube test data
Step-by-step workflow
- Collect or prepare concrete mix data.
- Clean variables and calculate water-cement ratio.
- Plot strength against important variables.
- Fit simple regression or machine learning model.
- Compare predicted and observed strength.
Minimum deliverables
- Dataset
- Prediction model
- Charts
- Interpretation report
How to make it stronger
Combine lab-tested cube results from your college with public dataset trends.
Tip: Keep the scope small enough to finish, but document assumptions, limitations, drawings, calculations, and photos properly. That makes the project look professional even if the model is simple.