Repozytorium publikacji - Politechnika Gdańska

Computer simulation models are ubiquitous in modern engineering design. In many cases, they are the only way to evaluate a given design with sufficient fidelity. Unfortunately, an added computa-tional expense is associated with higher fidelity models. Moreover, the systems being considered are often highly nonlinear and may feature a large number of designable parameters. Therefore, it may be impractical to solve the design problem with conventional optimization algorithms. A promising approach to alleviate these difficulties is surrogate-based optimization (SBO). Among proven SBO techniques, the methods utilizing surrogates constructed from corrected physics-based low-fidelity models are, in many cases, the most efficient. In this paper, we review a particular technique of this type, namely, the shape-preserving response prediction (SPRP) technique, which works on the level of the model responses to correct the underlying low-fidelity models. The for-mulation and limitations of SPRP are discussed. Applications to several engineering design prob-lems are provided.

Autorzy

• Leifur Leifsson,
• prof. dr inż. Sławomir Kozieł link otwiera się w nowej karcie