esvs2202 / Concrete-Compressive-Strength-Prediction
The aim of this project is to develop a solution using Data science and machine learning to predict the compressive strength of a concrete with respect to the its age and the quantity of ingredients used.
☆20Updated last year
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:
- Different modeling techniques like multiple linear regression, decision tree, and random forest, etc. will be used for predicting the co…☆22Updated 4 years ago
- ☆14Updated 2 years ago
- Implementing ensemble learning methods for shear strength prediction of RC deep beams with/without web reinforcements☆16Updated 4 years ago
- FE model updating in Python☆10Updated 3 years ago
- ☆15Updated last month
- Implementation of a new hybrid machine learning technique for multi-fidelity surrogates of finite elements models with applications in mu…☆12Updated last year
- 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
- ☆12Updated 10 months ago
- Automated representative volume element simulator via abaqus for material constitutive law discovery☆20Updated 3 months ago
- A monte carlo simulation for the performance of composite laminate plates with stochastic material properties.☆13Updated 5 years ago
- A Jupyter Notebook implementation of Physics-informed neural network to solve solid mechanics problem.☆18Updated 2 years ago
- Python script for automation of parametric study in ANSYS Workbench☆15Updated 6 years ago
- Strain Gradient Theory Simulation (Python and Fortran on Abaqus)☆11Updated 3 years ago
- The reliability analysis is studied for stiffened Kirchhoff's plate bending using the Finite Element Method in MATLAB. We used the Hsieh-…☆12Updated 3 years ago
- Simultaneous Optimization of Size, Shape and Topology without Ground Structure by Genetic Algorithms☆14Updated 10 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
- A physics-informed deep learning (DL)-based constitutive model for investigating epoxy based composites under different ambient condition…☆12Updated 8 months ago
- Optimal calibration of continuum cyclic constitutive model using Particle Swarm Optimization☆16Updated 7 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
- OpenSees Workshop - 6th International Conference on Earthquake Engineering and Seismology (6ICEES)☆19Updated 2 years ago
- This is a useful MatLab based tool to easily set up the Concrete Damaged Plasticity Model available in Abaqus.☆21Updated 3 years ago
- Finite element thermo-elastic, buckling analysis of variable angle tow laminated plate☆10Updated last month
- Constitutive modeling · Deep learning · History-dependent materials · Recurrent neural networks · Viscoelasticity☆16Updated last month
- Concrete Compressive Strength Prediction using Machine Learning☆25Updated 5 years ago
- This repository contains a Python code with five implementations of topology optimization approaches suitable for 2D and 3D problems, all…☆12Updated last year
- we introduce a new framework for running the finite element (FE) packages inside an online Loop together with MATLAB. Contrary to the Har…☆25Updated 5 years ago
- Thermodynamics-based Artificial Neural Networks☆25Updated 2 years ago
- Artificial intelligence aided engineering design.☆54Updated this week
- A basic example of using physics informed machine learning for enhanced structural dynamics modeling☆10Updated last year
- FEM enhanced neural network☆15Updated 2 years ago