mengli-2020 / Expected-Uncertainty-Reduction-for-Kriging-based-Reliability-AnalysisLinks
In his project, we proposed a new acquisition function for kriging-based reliability analysis, namely expected uncertainty reduction (EUR), that serves as a meta-criterion to select the best sample from a set of optimal samples, each identified from a large number of candidate samples according to the criterion of an acquisition function.
☆10Updated 3 years ago
Alternatives and similar repositories for Expected-Uncertainty-Reduction-for-Kriging-based-Reliability-Analysis
Users that are interested in Expected-Uncertainty-Reduction-for-Kriging-based-Reliability-Analysis are comparing it to the libraries listed below
Sorting:
- time-variant reliability analysis method☆16Updated 5 years ago
- Gradient-enhanced Kriging surrogate model☆20Updated 6 months ago
- This Matlab files are used to demonstrate on how to perform Reliability-based Design Optimization (RBDO) using FERUM. Two approaches are …☆14Updated 2 years ago
- Source codes for Probability-Adaptive Kriging in n-Ball (PAK-Bn) (Kim & Song, 2020)☆10Updated 6 months ago
- MIVor: An innovative adaptive Kriging approach for efficient problem classification.☆18Updated 5 years ago
- Codes of our journal paper: Indirect identification of bridge frequencies using a four-wheel vehicle: Theory and three-dimensional simula…☆17Updated 3 weeks ago
- In recent years, the use of physics-informed neural networks (PINNs) has gained popularity across several engineering disciplines due to …☆10Updated 2 years ago
- an active-learning method for reliability analysis based on multi-fidelity kriging model☆40Updated last year
- ☆10Updated 2 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
- Customized FERUM (Finite Element Reliability Using Matlab)☆13Updated 3 years ago
- A MATLAB implementation of the co-kriging process using the DACE toolbox☆39Updated 8 years ago
- FEM enhanced neural network☆19Updated 2 years ago
- Simple Bayesian optimization in MATLAB, with interface to interact with simulations in ANSYS.☆18Updated 2 years ago
- ☆19Updated last month
- ☆39Updated 2 years ago
- Physics-Informed Neural Network, Finite Element Method enhanced neural network, and FEM data-based neural network☆18Updated 7 months ago
- matlab code achieving Hierarchical Kriging model (a kind of variable fidelity surrogate, which can be regard as an improved version of co…☆23Updated 6 years ago
- This GitHub package provides example MATLAB code for finite element model updating. The code offers selection of different updating formu…☆40Updated 3 months ago
- A Matlab toolbox for stochastic response analysis by DR-PDEE/GE-GDEE☆26Updated 2 years ago
- The code is used to solve structural reliability analysis problem via the BSC_RLCB method☆14Updated 3 years ago
- Physics-informed neural network for fatigue crack propagation (Paris' law)☆17Updated 3 years ago
- multi-fidelity neural network☆20Updated 2 years ago
- ☆42Updated 2 years ago
- FE model updating in Python☆10Updated 4 years ago
- 2D/3D Finite Element (FEM) beam model using Newmark Method for dynamic analysis☆36Updated 6 years ago
- Identification of Bouc–Wen type models using the transitional Markov chain Monte Carlo method☆14Updated 6 months ago
- Enhancing PINNs for Solving PDEs via Adaptive Collocation Point Movement and Adaptive Loss Weighting☆37Updated 2 years ago
- Efficiently solve the 2D heat equation using a Physics-Informed Neural Network (PINN). Simulate and predict temperature distributions wit…☆11Updated last year
- ☆87Updated last year