Beam Deflection Calculator

Overview

This project is a Blazor-based web application designed to calculate the deflection across a beam with 10 equally spaced nodes, fixed at both ends. The application utilizes machine learning to predict deflections for different load positions and magnitudes applied to the beam.

Key Features:

• Beam Setup: The beam is divided into 10 nodes with equal lengths between each node, fixed at both ends.
• Deflection Prediction: The app calculates deflection at all nodes for a given load applied at a specific node.
• ML Model: The project includes modules for generating training data and training the model, with ongoing development on the deflection prediction module.

Technologies Used

• .NET 8 Core: Framework used for the backend and Blazor web application.
• Blazor: Frontend framework for creating interactive user interfaces.
• ML.NET: Machine learning library used to train and deploy the deflection prediction model.
• Minimal API: Provides lightweight endpoints for API interactions.
• Docker: Containerization for consistent and portable deployment.
• Training Module: A dedicated module for generating data and training the machine learning model.
• Prediction Module: Under development, this module will predict deflections using the trained model.

Project Structure

• Training Module: Generates simulated beam deflection data and uses ML.NET to train a model for predicting deflection at each node.
• Prediction Module: (In development) Will use the trained ML model to predict deflections for new load conditions.
• API: Exposes endpoints via a minimal API to trigger model training and (in the future) predictions.

Getting Started

1. Clone the Repository:

   git clone https://github.com/yourusername/beam-deflection-calculator.git

2. Run the Application:

   docker-compose up --build

3. Access the Blazor Application: Navigate to http://localhost:yourport to interact with the web interface.