dcfeng-87 / Ensemble-learning-deep-beamLinks
Implementing ensemble learning methods for shear strength prediction of RC deep beams with/without web reinforcements
☆16Updated 4 years ago
Alternatives and similar repositories for Ensemble-learning-deep-beam
Users that are interested in Ensemble-learning-deep-beam are comparing it to the libraries listed below
Sorting:
- A physics-informed deep learning (DL)-based constitutive model for investigating epoxy based composites under different ambient condition…☆25Updated 5 months ago
- ☆21Updated last year
- ☆23Updated 4 months ago
- This Matlab files are used to demonstrate on how to perform Reliability-based Design Optimization (RBDO) using FERUM. Two approaches are …☆16Updated 2 years ago
- multi-fidelity neural network☆21Updated 2 years ago
- ☆27Updated last year
- Physics-Informed and Hybrid Machine Learning in Additive Manufacturing: Application to Fused Filament Fabrication☆19Updated 3 years ago
- ☆13Updated last month
- Qi ZHANG's simulation code☆11Updated last year
- The code is used to solve structural reliability analysis problem via the BSC_RLCB method☆15Updated 4 years ago
- Neural network hyperelastic constitutive modeling of anisotropic materials. Includes UMAT☆24Updated 4 years ago
- This repository implements Physics-Informed Neural Networks (PINNs) for slope stability analysis based on the Mohr-Coulomb failure criter…☆13Updated 5 months ago
- ☆43Updated 2 years ago
- ☆59Updated 2 years ago
- Neural Network Approach for Elastoplastic Constitutive Modeling☆25Updated 2 years ago
- Multiscale modeling of inelastic materials with Thermodynamics-based Artificial Neural Networks (TANN)☆13Updated last year
- time-variant reliability analysis method☆18Updated 5 years ago
- ☆46Updated 2 years ago
- Constitutive modeling · Deep learning · History-dependent materials · Recurrent neural networks · Viscoelasticity☆19Updated 9 months ago
- Matlab codes: Comparative study of truss sizing optimisation problem 2020☆10Updated 5 years ago
- a FEniCs-based (Model-Free) Data-driven Computational Mechanics implementation☆13Updated last year
- Physics-informed radial basis network☆34Updated last year
- Physics-Informed Neural Network (PINN) for Solving Direct and Inverse Heat Conduction Problems☆14Updated 3 years ago
- Gradient-enhanced Kriging surrogate model☆23Updated 3 weeks ago
- This is a nonlinear elastic constitutive model(Duncan-CHANG EB) UMAT widely used in the field of geotechnical engineering. It can be used…☆26Updated 3 years ago
- Physics-Informed Neural Network, Finite Element Method enhanced neural network, and FEM data-based neural network☆19Updated last month
- ☆28Updated 10 months ago
- Effective data sampling strategies and boundary condition constraints of physics-informed neural networks for identifying material proper…☆23Updated 2 years ago
- A monte carlo simulation for the performance of composite laminate plates with stochastic material properties.☆13Updated 5 years ago
- Soving heat transfer problems using PINN with tf2.0☆20Updated 4 years ago