Year: 2025
Type: article
Abstract: ABSTRACT Cavitation in hydrofoil experiments is a critical physical phenomenon, which is primarily influenced by three key factors. Efficiently identifying the combination of factor levels at which cavitation occurs with 50% probability presents a significant challenge in sensitivity testing, particularly when constrained by the high cost of hydrofoil experiments. Despite its importance, sensitivity experiments with multiple factors have received scant attention in literature. In order to tackle this challenge, we propose a novel sequential design based on the upper credible bound criterion for the generalised Gaussian process models, which is used to model the hydrofoil experimental data. Some numerical simulation studies demonstrate that the proposed method effectively balances exploitation and exploration, achieving superior performance compared to existing approaches. Finally, a practical application to hydrofoil cavitation experiments validates the superiority of the proposed method.
Source: Stat
DOI: 10.1002/sta4.70039
Authors: Tian Bai, Dianpeng Wang, Kuangqi Chen, Yubin Tian
Institutions: Beijing Institute of Technology, Shenzhen MSU-BIT University
Language: English
Field: Decision Sciences
Domain: Social Sciences
Open Access status: bronze
Awards: G2458485393, G6152136666
OpenAlex ID: W4407057237