pranaymodukuru / Concrete-compressive-strength
Concrete Compressive Strength Prediction using Machine Learning
☆24Updated 4 years ago
Alternatives and similar repositories for Concrete-compressive-strength:
Users that are interested in Concrete-compressive-strength are comparing it to the libraries listed below
- ☆13Updated 5 years ago
- Different modeling techniques like multiple linear regression, decision tree, and random forest, etc. will be used for predicting the co…☆20Updated 4 years ago
- ☆10Updated last year
- code_sample☆18Updated last year
- ☆14Updated 2 years ago
- A Machine Learning approach to Finite Element Methods, using U-Net inspired architectures.☆26Updated 5 years ago
- How would you predict the compressive strength of concrete as a function of its constituent materials and curing time? In this portfolio …☆10Updated 4 years ago
- Adaptive phase field modeling of fracture using deep energy minimization.☆32Updated 4 years ago
- Implementation of a new hybrid machine learning technique for multi-fidelity surrogates of finite elements models with applications in mu…☆11Updated last year
- A deep learning approach to estimate stress distribution: a fast and accurate surrogate of finite-element analysis☆27Updated 6 years ago
- This repository includes the implementation of the Physics Informed Neural Network and The Deep Energy Method on 1D, 2D boundary value an…☆15Updated 2 years ago
- Graph neural networks for stress and strain fields prediction☆48Updated 2 years ago
- ☆36Updated 7 years ago
- Application of Graph Neural Networks to predict material properties from their microstructures.☆16Updated 4 months ago
- Finite Element Code for Elasto-plastic Analysis of Slope Stability☆25Updated 3 years ago
- The aim of this project is to develop a solution using Data science and machine learning to predict the compressive strength of a concret…☆18Updated last year
- ☆12Updated 8 months ago
- Physics-Informed Neural Network (PINN) for Solving Coupled PDEs Governing Thermochemical Physics in Bi-Material Systems☆53Updated 4 years ago
- ☆49Updated last year
- ☆9Updated 4 years ago
- Using deep learning techniques like 1D and 2D CNNs, LSTM to detect damage in a structure with hinges/joints after an earthquake.☆15Updated 3 years ago
- Burgers equation solved by PINN in PyTorch☆21Updated 3 years ago
- Contains implementation of PINN using Tensorflow 2.4.0☆14Updated last year
- This is a plugin for ImageJ2 for multifractal analysis of 2D and 3D images. Cite: MULTIFRAC: An ImageJ plugin for multiscale characteriza…☆12Updated 4 years ago
- Materials from the coursera course on Finite Element Methods in Physics with programming assignments written in Deal ii☆22Updated 7 years ago
- Physics-informed graph neural network (GNN) emulation of soft-tissue mechanics☆28Updated 2 weeks ago
- Predict the wall shear stress along the coronary artery using Deep Learning☆13Updated 3 years ago
- Linear elastic analysis of heterogeneous materials and structures with the Extended Multiscale Finite Element Method (EMsFEM)☆19Updated 3 years ago
- In this project I use the generated dataset of stress analysis results of FVM method to train a Convolutional Neural Netwrok (CNN) model …☆27Updated 6 years ago
- ☆39Updated last year