Managing computational complexity using surrogate models: a critical review
In simulation-based realization of complex systems, we are forced to address the issue of
computational complexity. One critical issue that must be addressed is the approximation of …
computational complexity. One critical issue that must be addressed is the approximation of …
Multi-model Bayesian optimization for simulation-based design
We enhance the Bayesian optimization (BO) approach for simulation-based design of
engineering systems consisting of multiple interconnected expensive simulation models …
engineering systems consisting of multiple interconnected expensive simulation models …
Input mapping for model calibration with application to wing aerodynamics
A wide range of model calibration methods and formulas have been introduced in the
literature for calibrating low-fidelity (LF) computer models against high-fidelity (HF) computer …
literature for calibrating low-fidelity (LF) computer models against high-fidelity (HF) computer …
Multi-fidelity uncertainty propagation using polynomial chaos and Gaussian process modeling
F Wang, F Xiong, S Chen, J Song - Structural and Multidisciplinary …, 2019 - Springer
The polynomial chaos (PC) method has been widely studied and applied for uncertainty
propagation (UP) due to its high efficiency and mathematical rigor. However, the …
propagation (UP) due to its high efficiency and mathematical rigor. However, the …
Adaptive surrogate modeling for time-dependent multidisciplinary reliability analysis
Z Hu, S Mahadevan - Journal of Mechanical Design, 2018 - asmedigitalcollection.asme.org
Multidisciplinary systems with transient behavior under time-varying inputs and coupling
variables pose significant computational challenges in reliability analysis. Surrogate models …
variables pose significant computational challenges in reliability analysis. Surrogate models …
Research on multiple‐state industrial robot system with epistemic uncertainty reliability allocation method
B Bai, Z Li, J Zhang, D Zhang… - Quality and Reliability …, 2021 - Wiley Online Library
Reliability allocation of industrial robot (IR) system is one of the important means to improve
its whole life cycle, reduce maintenance cost, and characterize weak subsystems. The IR …
its whole life cycle, reduce maintenance cost, and characterize weak subsystems. The IR …
Unified uncertainty representation and quantification based on insufficient input data
Uncertainty quantification accuracy of system performance has an important influence on the
results of reliability-based design optimization (RBDO). A new uncertain identification and …
results of reliability-based design optimization (RBDO). A new uncertain identification and …
Integration of normative decision-making and batch sampling for global metamodeling
The cost of adaptive sampling for global metamodeling depends on the total number of
costly function evaluations and to which degree these evaluations are performed in parallel …
costly function evaluations and to which degree these evaluations are performed in parallel …
A hybrid criterion-based sample infilling strategy for surrogate-assisted multi-objective optimization
P Wang, Y Bai, C Lin, X Han - Structural and Multidisciplinary Optimization, 2024 - Springer
High-quality Pareto front is always pursued when solving multi-objective optimization
problems with surrogate-assisted multi-objective optimization (SMOO). For this purpose, a …
problems with surrogate-assisted multi-objective optimization (SMOO). For this purpose, a …
Enhanced Gaussian-mixture-model-based nonlinear probabilistic uncertainty propagation using Gaussian splitting approach
Q Chen, Z Zhang, C Fu, D Hu, C Jiang - Structural and Multidisciplinary …, 2024 - Springer
Practical engineering problems often involve stochastic uncertainty, which can cause
substantial variations in the response of engineering products or even lead to failure. The …
substantial variations in the response of engineering products or even lead to failure. The …