Yi Gao
Yi Gao
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An active learning kriging model for hybrid reliability analysis with both random and interval variables
X Yang, Y Liu, Y Gao, Y Zhang, Z Gao
Structural and Multidisciplinary Optimization 51 (5), 1003-1016, 2015
Unified reliability analysis by active learning Kriging model combining with random‐set based Monte Carlo simulation method
X Yang, Y Liu, Y Gao
International Journal for Numerical Methods in Engineering 108 (11), 1343-1361, 2016
FEA-Net: A physics-guided data-driven model for efficient mechanical response prediction
H Yao, Y Gao, Y Liu
Computer Methods in Applied Mechanics and Engineering 363, 112892, 2020
Ultra-efficient reconstruction of 3D microstructure and distribution of properties of random heterogeneous materials containing multiple phases
Y Gao, Y Jiao, Y Liu
Acta Materialia 204, 116526, 2021
Efficient high-dimensional material reliability analysis with explicit voxel-level stochastic microstructure representation
Y Gao, Y Jiao, Y Liu
Applied Mathematical Modelling 91, 1117-1140, 2021
Adjoint-FORM for efficient reliability analysis of large-scale structural problems
Y Gao, Y Liu
2018 AIAA Non-Deterministic Approaches Conference, 0435, 2018
Physics-based deep learning for probabilistic fracture analysis of composite materials
Y Gao, H Yao, H Wei, Y Liu
AIAA Scitech 2020 Forum, 1860, 2020
Adjoint Gradient-enhanced Kriging Model for Time-dependent Reliability Analysis
Y Gao, Y Liu
AIAA Scitech 2019 Forum, 0441, 2019
Bayesian-entropy gaussian process for constrained metamodeling
Y Wang, Y Gao, Y Liu, S Ghosh, W Subber, P Pandita, L Wang
Reliability Engineering & System Safety 214, 107762, 2021
Reliability-based topology optimization with stochastic heterogeneous microstructure properties
Y Gao, Y Liu
Materials & Design 205, 109713, 2021
Active Learning-based Efficient Separation Risk Assessment in National Airspace System
Y Gao, Y Liu, P Dutta, O Chen, H Iyer, BJ Yang
AIAA Aviation 2019 Forum, 2942, 2019
Ultraefficient reconstruction of effectively hyperuniform disordered biphase materials via non-Gaussian random fields
Y Gao, Y Jiao, Y Liu
Physical Review E 105 (4), 045305, 2022
Multi-fidelity Data Aggregation using Convolutional Neural Networks
J Chen, Y Gao, Y Liu
Computer Methods in Applied Mechanics and Engineering 391, 114490, 2022
Convolutional Neural Networks for Multi-fidelity Data Aggregation
J Chen, Y Gao, Y Liu
AIAA SCITECH 2022 Forum, 2144, 2022
Ultra-efficient and Scalable Uncertainty Quantification and Probabilistic Analysis for Heterogeneous Materials
Y Gao
Arizona State University, 2021
A Constrained Semi-parametric Gaussian Process Using Bayesian-Entropy Regression
Y Wang, Y Gao, Y Liu, S Ghosh, L Wang
AIAA Scitech 2021 Forum, 0180, 2021
Probabilistic Failure Analysis for ICME Using An Adjoint-based Lattice Particle Method.
Y Gao, Y Liu
AIAA Scitech 2019 Forum, 0970, 2019
Adjoint Gradient-enhanced Kriging Model-based Method for Time-dependent Reliability Analysis
Y Gao, Y Liu
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