Civil Engineering internship in India
Reference No: IN-2025-A1430-JC
General discipline: Civil Engineering
Completed years of study: 1
Duration: 8-12 weeks
Within the months: Jan-2025 - Oct-2025
Work description: Project Title: Optimizing Concrete Mix Design Using Artificial Neural Networks for Enhanced Efficiency and Accuracy
Aim: The project focuses on enhancing the concrete mix design process by leveraging Artificial Neural Networks (ANN) to make it more efficient and reliable. Interns will work on optimizing the mix design through data analysis and machine learning techniques.
Responsibilities:
1. Gather and analyze data related to concrete mix proportions, including materials and their properties.
2. Develop and train an Artificial Neural Network (ANN) using the collected data, configuring the model to handle specific input parameters and optimize performance.
3. Evaluate the accuracy of the ANN model by testing it with new data, ensuring its predictions are reliable, and validating its performance.
4. Document the process and results, comparing the ANN-based approach with traditional concrete mix design methods to highlight improvements.
Outcome:
1. Achieve faster and more efficient concrete mix design processes through ANN.
2. Improve the reliability and accuracy of mixed designs with ANN predictions.
3.Lower costs related to trial-and-error and material wastage.
4.Enable quicker mix design turnaround times, optimizing project workflows.
