JxdEngineer / 3D-Simulation-of-Vehicle-Bridge-InteractionLinks
Code of our journal paper: Indirect identification of bridge frequencies using a four-wheel vehicle: Theory and three-dimensional simulation
☆19Updated last week
Alternatives and similar repositories for 3D-Simulation-of-Vehicle-Bridge-Interaction
Users that are interested in 3D-Simulation-of-Vehicle-Bridge-Interaction are comparing it to the libraries listed below
Sorting:
- Simulation of a SDOF Bouc-Wen-Baber-Noori hysteretic system☆13Updated 4 years ago
- Identification of Bouc–Wen type models using the transitional Markov chain Monte Carlo method☆15Updated 10 months ago
- Recursive long short-term memory network for predicting nonlinear structural seismic response☆20Updated 4 years ago
- ☆11Updated 2 years ago
- Deep Learning for Structural Health monitoring☆20Updated last year
- This GitHub package provides example MATLAB code for finite element model updating. The code offers selection of different updating formu…☆43Updated 7 months ago
- In his project, we proposed a new acquisition function for kriging-based reliability analysis, namely expected uncertainty reduction (EUR…☆11Updated 3 years ago
- Earthquake Responses prediction using Deep learning and Database☆40Updated 9 months ago
- Physics-guided Convolutional Neural Network☆68Updated 5 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
- Deep Transfer Learning and Time-Frequency Characteristics-Based Identification Method for Structural Seismic Response☆34Updated 4 years ago
- ☆11Updated 2 years ago
- Deep LSTM for highly nonlinear system modeling☆56Updated 6 years ago
- Efficiently solve the 2D heat equation using a Physics-Informed Neural Network (PINN). Simulate and predict temperature distributions wit…☆11Updated 2 years ago
- Frequency Domain Decomposition (FDD)☆10Updated 5 years ago
- Physics-informed neural network for fatigue crack propagation (Paris' law)☆20Updated 4 years ago
- ☆11Updated last year
- In recent years, the use of physics-informed neural networks (PINNs) has gained popularity across several engineering disciplines due to …☆11Updated last month
- We introduce an innovative physics-informed LSTM framework for metamodeling of nonlinear structural systems with scarce data.☆98Updated 2 years ago
- MSherri-eng / Bayesian-Finite-Element-Model-Updating-Using-Evolutionary-Markov-Chain-Monte-Carlo-algorithms☆11Updated 4 years ago
- Python scripts for wind turbine main bearing fatigue life estimation with physics-informed neural networks☆119Updated 3 years ago
- A Surrogate Model with Data Augmentation and Deep Transfer Learning for Temperature Field Prediction of Heat Source Layout☆10Updated 5 years ago
- FEM enhanced neural network☆20Updated 3 years ago
- ☆14Updated last year
- For data recovery of Structural Health Monitoring☆11Updated 2 years ago
- A novel GNN-LSTM-based fusion model which could accurately predict the seismic responses of multiple structures with different geometry.☆95Updated last year
- Train-Track-Bridge interaction simulation tool for Matlab☆13Updated last year
- CONCEPT is a dataset of lamb-wave measured in composite structures in healthy and damaged states. This experiment was conducted at the SH…☆28Updated 8 months ago
- This repo contains a PyTorch-based AE-ConvLSTM model for fluid flow prediction. It can forecast 5–10 time steps per forward pass and over…☆27Updated 7 months ago
- Predictive Modeling and Uncertainty Quantification of Fatigue Life in Metal Alloys using Machine Learning☆26Updated 10 months ago