LaxmiChaudhary / Modeling-of-strength-of-high-performance-concrete-using-Machine-LearningLinks
☆14Updated 6 years ago
Alternatives and similar repositories for Modeling-of-strength-of-high-performance-concrete-using-Machine-Learning
Users that are interested in Modeling-of-strength-of-high-performance-concrete-using-Machine-Learning are comparing it to the libraries listed below
Sorting:
- Different modeling techniques like multiple linear regression, decision tree, and random forest, etc. will be used for predicting the co…☆23Updated 5 years ago
- Concrete Compressive Strength Prediction using Machine Learning☆26Updated 5 years ago
- Predicting 2D Steady State Fluid Flow Fields using Convolutional Neural Networks☆10Updated 5 years ago
- This repository contains code for predicting multiaxial fatigue life of metals using deep learning models (CNN, LSTM, and GRU) combined w…☆20Updated last year
- Deep Transfer Learning and Time-Frequency Characteristics-Based Identification Method for Structural Seismic Response☆33Updated 4 years ago
- xaviergoby / ConvLSTM-Computer-Vision-for-Structural-Health-Monitoring-SHM-and-NonDestructive-Testing-NDTApplication of LSTM network for Structural Health Monitoring & Non-Destructive Testing☆44Updated 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 4 years ago
- Python scripts for physics-informed neural networks for corrosion-fatigue prognosis☆41Updated 3 years ago
- CONCEPT is a dataset of lamb-wave measured in composite structures in healthy and damaged states. This experiment was conducted at the SH…☆28Updated 7 months ago
- ☆17Updated 4 years ago
- Physics-Informed Neural Network (PINN) for Solving Coupled PDEs Governing Thermochemical Physics in Bi-Material Systems☆58Updated 4 years ago
- CFD-DeepLearning-UNET☆17Updated 4 years ago
- A Machine Learning approach to Finite Element Methods, using U-Net inspired architectures.☆29Updated 6 years ago
- Deep LSTM for highly nonlinear system modeling☆56Updated 6 years ago
- Finite Element Code for Elasto-plastic Analysis of Slope Stability☆28Updated 4 years ago
- Codes for various problems solved using Finite Difference Method and Finite Volume Method.☆12Updated 9 years ago
- MeltpoolNet: Melt pool Characteristic Prediction in Metal Additive Manufacturing Using Machine Learning☆39Updated 3 years ago
- Physics-guided Convolutional Neural Network☆68Updated 5 years ago
- Physics-informed neural network for fatigue crack propagation (Paris' law)☆18Updated 3 years ago
- Python tools for non-intrusive reduced order modeling☆20Updated 7 months ago
- ☆14Updated 3 years ago
- A Jupyter Notebook implementation of Physics-informed neural network to solve solid mechanics problem.☆22Updated 2 years ago
- Project for dynamic identification and structural health monitoring of real structures using data-based statistical time series analysis☆17Updated 2 years ago
- ☆14Updated 4 years ago
- In this repository, we present an Semantic Segmentation code, based on U-net architecture, that is used for the topographic characterizat…☆15Updated 4 years ago
- Implementation of Physics-Informed Neural Networks for Computational Mechanics based on the DeepXDE package.☆49Updated this week
- MSherri-eng / Bayesian-Finite-Element-Model-Updating-Using-Evolutionary-Markov-Chain-Monte-Carlo-algorithms☆11Updated 4 years ago
- ☆59Updated 2 years ago
- StructGNN: An Efficient Graph Neural Network Framework for Static Structural Analysis☆36Updated last year
- ☆24Updated last year