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:
- 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 3 years ago
- FE model updating in Python☆10Updated 3 years ago
- Implementing ensemble learning methods for shear strength prediction of RC deep beams with/without web reinforcements☆17Updated 4 years ago
- Concrete Compressive Strength Prediction using Machine Learning☆25Updated 5 years ago
- The digital twin paradigm that integrates the information obtained from sensor data, physics models, as well as operational and inspectio…☆18Updated 3 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
- Simple Bayesian optimization in MATLAB, with interface to interact with simulations in ANSYS.☆18Updated 2 years ago
- ☆16Updated 3 months ago
- Identification of Bouc–Wen type models using the transitional Markov chain Monte Carlo method☆11Updated 3 months ago
- Implementation of a new hybrid machine learning technique for multi-fidelity surrogates of finite elements models with applications in mu…☆12Updated last year
- Simultaneous Optimization of Size, Shape and Topology without Ground Structure by Genetic Algorithms☆14Updated 10 years ago
- Physics-Informed and Hybrid Machine Learning in Additive Manufacturing: Application to Fused Filament Fabrication☆17Updated 3 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
- Frequency Domain Decomposition (FDD)☆10Updated 5 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…☆26Updated 2 months ago
- Code to control abaqus model through python API☆52Updated 3 years ago
- ☆14Updated 5 years ago
- Finite element thermo-elastic, buckling analysis of variable angle tow laminated plate☆10Updated 2 months ago
- MSherri-eng / Bayesian-Finite-Element-Model-Updating-Using-Evolutionary-Markov-Chain-Monte-Carlo-algorithms☆11Updated 4 years ago
- Source codes for Probability-Adaptive Kriging in n-Ball (PAK-Bn) (Kim & Song, 2020)☆10Updated 3 months ago
- MATLAB codes for the book (in Farsi) " Structural Dynamics and Vibration Control"☆26Updated 2 years ago
- A Jupyter Notebook implementation of Physics-informed neural network to solve solid mechanics problem.☆19Updated 2 years ago
- This GitHub package provides example MATLAB code for finite element model updating. The code offers selection of different updating formu…☆39Updated 3 weeks ago
- Simulation of a SDOF Bouc-Wen-Baber-Noori hysteretic system☆13Updated 3 years ago
- Project for dynamic identification and structural health monitoring of real structures using data-based statistical time series analysis☆16Updated last year
- A physics-informed deep learning (DL)-based constitutive model for investigating epoxy based composites under different ambient condition…☆15Updated last month
- ☆19Updated last year
- Recursive long short-term memory network for predicting nonlinear structural seismic response☆19Updated 3 years ago
- Physics-informed deep learning for structural dynamics under moving load☆16Updated 9 months ago