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.
☆11Updated 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:
- Source code of the paper: Dang C., Xu, J. Unified reliability assessment for problems with low- to high-dimensional random inputs using t…☆10Updated 4 years ago
- time-variant reliability analysis method☆15Updated 5 years ago
- Gradient-enhanced Kriging surrogate model☆20Updated 5 months ago
- Customized FERUM (Finite Element Reliability Using Matlab)☆13Updated 3 years ago
- Source codes for Probability-Adaptive Kriging in n-Ball (PAK-Bn) (Kim & Song, 2020)☆10Updated 5 months ago
- Codes of our journal paper: Indirect identification of bridge frequencies using a four-wheel vehicle: Theory and three-dimensional simula…☆18Updated last week
- The digital twin paradigm that integrates the information obtained from sensor data, physics models, as well as operational and inspectio…☆20Updated 3 years ago
- an active-learning method for reliability analysis based on multi-fidelity kriging model☆38Updated last year
- 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
- MIVor: An innovative adaptive Kriging approach for efficient problem classification.☆18Updated 5 years ago
- Physics-Informed Neural Network, Finite Element Method enhanced neural network, and FEM data-based neural network☆18Updated 6 months ago
- A Surrogate Model with Data Augmentation and Deep Transfer Learning for Temperature Field Prediction of Heat Source Layout☆10Updated 4 years ago
- ☆10Updated 2 years ago
- FEM enhanced neural network☆19Updated 2 years ago
- The code is used to solve structural reliability analysis problem via the BSC_RLCB method☆14Updated 3 years ago
- A MATLAB implementation of the co-kriging process using the DACE toolbox☆39Updated 8 years ago
- Identification of Bouc–Wen type models using the transitional Markov chain Monte Carlo method☆13Updated 6 months ago
- ☆19Updated last month
- Physics-informed neural network for fatigue crack propagation (Paris' law)☆16Updated 3 years ago
- multi-fidelity neural network☆20Updated 2 years 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
- Physics-informed deep learning for structural dynamics under moving load☆16Updated 11 months ago
- ☆38Updated 2 years ago
- A Matlab toolbox for stochastic response analysis by DR-PDEE/GE-GDEE☆26Updated last year
- Bayesian PINN codes to solve 2D/3D Navier Stokes for wind fields☆10Updated last year
- FE model updating in Python☆10Updated 4 years ago
- Project for dynamic identification and structural health monitoring of real structures using data-based statistical time series analysis☆17Updated last year
- Repository to tutorials on the implementation of the Transitional Ensemble Markov Chain Monte Carlo (TEMCMC) sampler for Bayesian Model U…☆20Updated 2 years ago
- Simple Bayesian optimization in MATLAB, with interface to interact with simulations in ANSYS.☆18Updated 2 years ago
- 2D/3D Finite Element (FEM) beam model using Newmark Method for dynamic analysis☆37Updated 6 years ago