Uncertainty analysis in building energy assessment has become an active research field
because a number of factors influencing energy use in buildings are inherently uncertain …

We propose a new framework for design under uncertainty based on stochastic computer
simulations and multi-level recursive co-kriging. The proposed methodology simultaneously …

Engine design heavily relies on numerical simulation of engine environments, which greatly
accelerates the design iteration and increases efficiency. Nonetheless, for a long time, the …

Axial compressors are inevitably affected by various uncertain factors in the process of
manufacture and operation. These uncertainties obviously lead to reduced efficiency and …

Multistage compressors are widely used in essential equipment such as aero-engines, gas
turbines, and industrial compressors. However, there are hundreds of geometric deviations …

The assessment of uncertainties is essential in aerodynamic shape optimization problems to
come up with configurations that are more robust against operational and geometrical …

It is important to design engineering systems to be robust with respect to uncertainties in the
design process. Often, this is done by considering statistical moments, but over-reliance on …

Reliability-based robust design optimization (RBRDO) aims to minimize the variation in the
system, and ensure the levels of failure probability of the system. Despite significant …

View Video Presentation: https://doi. org/10.2514/6.2021-3073. vid Regression-based
Polynomial Chaos expansions offer several advantages over projection-based approaches …

Robust optimization strategies typically aim at minimizing some statistics of the uncertain
objective function and can be expensive to solve when the statistic is costly to estimate at …