pranaymodukuru / Concrete-compressive-strength
Concrete Compressive Strength Prediction using Machine Learning
☆25Updated 5 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
Sorting:
- ☆14Updated 5 years ago
- Different modeling techniques like multiple linear regression, decision tree, and random forest, etc. will be used for predicting the co…☆22Updated 4 years ago
- How would you predict the compressive strength of concrete as a function of its constituent materials and curing time? In this portfolio …☆11Updated 4 years ago
- This repository contains Machine Learning tutorials using Jupyter notebooks.☆10Updated 4 years ago
- naqibasri / Mechanical-properties-prediction-of-low-alloy-steels-based-on-their-material-compositions-by-weight-☆8Updated 2 years ago
- ☆14Updated 2 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
- The aim of this project is to develop a solution using Data science and machine learning to predict the compressive strength of a concret…☆20Updated last year
- ☆10Updated 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
- Deep LSTM for highly nonlinear system modeling☆55Updated 5 years ago
- Recursive long short-term memory network for predicting nonlinear structural seismic response☆18Updated 3 years ago
- StructGNN: An Efficient Graph Neural Network Framework for Static Structural Analysis☆27Updated last year
- We introduce an innovative physics-informed LSTM framework for metamodeling of nonlinear structural systems with scarce data.☆81Updated last year
- The repository contains implementations of examples provided in the literature on energy minimization based approach to Physics Informed …☆11Updated 5 years ago
- Develop the time series recurrent neural network algorithms using LSTM and ARIMA in order 1) to forecast oil production of existing wells…☆12Updated 5 years ago
- This repository contains code for predicting multiaxial fatigue life of metals using deep learning models (CNN, LSTM, and GRU) combined w…☆14Updated 9 months ago
- Application of Graph Neural Networks to predict material properties from their microstructures.☆16Updated 5 months ago
- Physics-guided Convolutional Neural Network☆67Updated 4 years ago
- Physics-Informed and Hybrid Machine Learning in Additive Manufacturing: Application to Fused Filament Fabrication☆17Updated 3 years ago
- Graph neural networks for stress and strain fields prediction☆50Updated 2 years ago
- code_sample☆19Updated last year
- Different methods of solving partial differential equations with neural networks☆17Updated 3 years ago
- Predict the wall shear stress along the coronary artery using Deep Learning☆13Updated 3 years ago
- Deep Transfer Learning and Time-Frequency Characteristics-Based Identification Method for Structural Seismic Response☆30Updated 3 years ago
- ☆13Updated 3 years ago
- Python scripts for physics-informed neural networks for corrosion-fatigue prognosis☆40Updated 2 years ago
- Extraction of mechanical properties of materials through deep learning from instrumented indentation☆65Updated 3 years ago
- Implementing ensemble learning methods for shear strength prediction of RC deep beams with/without web reinforcements☆16Updated 4 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 3 years ago