Abstract Design optimization of structural and multidisciplinary systems under uncertainty
has been an active area of research due to its evident advantages over deterministic design …

Surrogate-Model-Based Design and Optimization | SpringerLink Skip to main content
Advertisement SpringerLink Account Menu Find a journal Publish with us Track your research …

One purpose of the" Historical Perspectives" column is to look back at work done by
pioneers in control and related fields that has been neglected for many years but was later …

The robust optimization approach is an important method to solve the problem of
fans/compressors performance disparities caused by geometric tolerances. Nonetheless …

The stochastic variation of inlet flow is one common uncertainty in turbomachines, the
performance impact of which requires to be quantified and taken into account in the design …

Positive displacement (PD) machines are widely used in several applications such as in
vapor and power generation systems. Nevertheless, their design is still based on standard …

An equivalent model using Taylor expansion (TEEM) is proposed for a fleet of engines
regulated by the industrial baseline controller, aiming at the fast assessment of in-service …

The design optimization taking into account the impact of uncertainties favors improving the
robustness of the design. A Surrogate-Assisted Gradient-Based (SAGB) method for the …

Geometric variations of the realistic blades due to the limited machining precision and flow
variations at the outlet boundary due to the operational condition changes for …

Manufacturing variations are becoming an unavoidable issue in modern fabrication
processes; therefore, it is crucial to be able to include stochastic uncertainties in the design …