esvs2202 / Concrete-Compressive-Strength-PredictionLinks
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 2 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:
- Gigala - Open source software for topology optimisation and engineering design by reinforcement learning.☆56Updated last week
- This is a PINN based approach in solving high temperature heat transfer equations in manufacturing industries, with a focus on reducing t…☆17Updated last year
- Different modeling techniques like multiple linear regression, decision tree, and random forest, etc. will be used for predicting the co…☆23Updated 5 years ago
- Matlab codes: Comparative study of truss sizing optimisation problem 2020☆10Updated 5 years ago
- code_sample☆19Updated 2 years ago
- ☆18Updated 5 months ago
- A simple script for welding in ANSYS APDL with Goldak heat source☆15Updated 2 years ago
- ☆14Updated 3 years ago
- Examples implementing physics-informed neural networks (PINN) in Pytorch☆77Updated 4 years ago
- ☆21Updated 2 months ago
- MEEG-44403/54403 Machine Learning for Mechanical Engineers at the University of Arkansas☆41Updated last month
- ☆16Updated last year
- Code for the paper "A physics-informed neural network framework for laminated composite plates under bending"☆13Updated 9 months ago
- This repository collates a number of MATLAB examples demonstrating Scientific Machine Learning (SciML) and Physics Informed Machine Learn…☆142Updated 3 weeks ago
- Code to control abaqus model through python API☆52Updated 3 years ago
- A Jupyter Notebook implementation of Physics-informed neural network to solve solid mechanics problem.☆21Updated 2 years ago
- Python script for automation of parametric study in ANSYS Workbench☆15Updated 6 years ago
- Classical Lamination Theory in Matlab☆15Updated 2 years ago
- FE model updating in Python☆10Updated 4 years ago
- Framework for Data-Driven Design and Analysis of Materials☆40Updated 6 years ago
- Nathan Brown- PhD Research on Engineering Design Using Reinforcement Learning with an emphasis on Material Structure and Metamaterial Des…☆11Updated 3 years ago
- ☆23Updated 5 months ago
- A design optimization study of underwater vehicle using Bayesian optimization and deep learning based surrogate model☆12Updated 2 years ago
- IPython notebooks with demo code intended as a companion to the book "Data-Driven Science and Engineering: Machine Learning, Dynamical Sy…☆157Updated 3 years ago
- This curriculum module introduces foundational concepts for solving the Navier-Stokes equations, including methods for interface advectio…☆143Updated 6 months ago
- Predicting Thermal Fields in AdditiveManufacturing by FEM simulations andMachine Learning☆58Updated 4 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 …☆28Updated 7 years ago
- A finite element blade structural dynamics module☆12Updated 8 years ago
- Empowering extended Kalman filter (EKF) with Sparse Identification of Nonlinear Dynamics (SINDy)☆64Updated 6 months ago
- Crack Analysis Tool in Python (CrackPy) - automatic detection and fracture mechanical analysis of (fatigue) cracks using digital image co…☆87Updated last year