PINNs for Spaghetti Bridge Weight Prediction
Leveraging Physics-Informed Neural Networks to accurately predict spaghetti bridge failure load capacity
PINN Analysis Active
Physics-Informed Neural Network
Project Features
Physics-Informed ML
Exploring credibility and effectiveness
Our research focuses on validating physics-informed machine learning approaches for structural analysis.
Spaghetti Bridges
Small-scale structural analysis
Using spaghetti bridge images as a test case for computer vision techniques in structural analysis.
Computer Vision
Image-based parameter extraction
Using digital image processing techniques to extract geometrical parameters from front view images of spaghetti bridges without any dataset.
How PINN Works
Physics-Informed Neural Networks combine traditional physics equations with modern deep learning to create more accurate and physically consistent predictions.
Advanced AI Technology