A recursive co-kriging multi-fidelity framework predicts wind-load coefficients for container ships in harbors more accurately than empirical models or single-fidelity surrogates while using fewer high-fidelity runs.
Blendermann, Parameter identification of wind loads on ships, Journal of Wind Engineering and Industrial Aerodynamics 51 (3) (1994) 339–351
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Predicting Wind Loads on Container Ships in Harbor Environments through Multi-Fidelity Modeling
A recursive co-kriging multi-fidelity framework predicts wind-load coefficients for container ships in harbors more accurately than empirical models or single-fidelity surrogates while using fewer high-fidelity runs.