MeghnathReddy / Concrete-Compressive-Strength-PredictionLinks
Different modeling techniques like multiple linear regression, decision tree, and random forest, etc. will be used for predicting the concrete compressive strength. A comparative analysis will be performed to identify the best model for our prediction in terms of accuracy. The best model will be helpful for civil engineers in choosing the appro…
☆24Updated 5 years ago
Alternatives and similar repositories for Concrete-Compressive-Strength-Prediction
Users that are interested in Concrete-Compressive-Strength-Prediction are comparing it to the libraries listed below
Sorting:
- # XFEM_Fracture2D ### Description This is a Matlab program that can be used to solve fracture problems involving arbitrary multiple cr…☆54Updated 3 years ago
- ☆56Updated 2 years ago
- ☆14Updated 3 years ago
- A finite element code to solve for the dynamic fragmentation of concrete at different strain rates. A bi-linear cohesive zone model is us…☆14Updated 6 years ago
- Adaptive phase field modeling of fracture using deep energy minimization.☆34Updated 4 years ago
- Automated representative volume element simulator via abaqus for material constitutive law discovery☆26Updated 3 months ago
- A Machine Learning approach to Finite Element Methods, using U-Net inspired architectures.☆29Updated 6 years ago
- ☆42Updated last year
- Effective data sampling strategies and boundary condition constraints of physics-informed neural networks for identifying material proper…☆21Updated 2 years ago
- This repo contains matlab code for multiscale finite element method☆53Updated 6 years ago
- Based on COMSOL Livelink for MATLAB☆18Updated last year
- Multiscale Modeling☆42Updated 6 years ago
- Implementation of a new hybrid machine learning technique for multi-fidelity surrogates of finite elements models with applications in mu…☆13Updated last year
- Neural Network Approach for Elastoplastic Constitutive Modeling☆25Updated 2 years ago
- Code of the publication "Physics informed neural networks for continuum micromechanics" published in https://doi.org/10.1016/j.cma.2022.1…☆17Updated 3 years ago
- ☆41Updated 3 years ago
- A method based on a feed forward neural network to solve partial differential equations in nonlinear elasticity at finite strain based on…☆67Updated 3 months ago
- XPINN code written in TensorFlow 2☆28Updated 2 years ago
- A python script to generate code that creates a Voronoi cell FEM for Abaqus CAE☆37Updated 4 years ago
- A deep energy method (DEM) to solve J2 elastoplasticity problems in 3D.☆24Updated 2 years ago
- MATLAB Code for Creating a Mesh from a Bitmap Image☆18Updated 3 years ago
- ☆14Updated last year
- ☆23Updated 10 months ago
- Code and data for article "Learning nonlocal constitutive models with neural networks", CMAME☆11Updated 4 years ago
- This is a useful MatLab based tool to easily set up the Concrete Damaged Plasticity Model available in Abaqus.☆26Updated 4 years ago
- ☆19Updated last year
- Finite element modeling of some 2D benchmarks : heat conduction, linear elasticity, dam break flow, viscous fingering in porous media.☆20Updated 5 years ago
- Constitutive modeling · Deep learning · History-dependent materials · Recurrent neural networks · Viscoelasticity☆17Updated 5 months ago
- Application of Graph Neural Networks to predict material properties from their microstructures.☆18Updated 9 months ago
- The software is a list of Abaqus User MATerial subroutines (VUMAT) for modeling granular flow physics. It includes (1) density dependent …☆30Updated 4 years ago