Long-term risk-informed ship design optimization

doi:10.1016/j.ress.2026.113259

2026-08-14

Jørgen Juncher Jensen

DOI：10.1016/j.ress.2026.113259

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摘要

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• 基于贝叶斯主动学习（BAL-LTP）对海洋极端事件进行长期预测。 • 以长期平均异交率为目标的设计优化。 • 一种涉及贝叶斯优化和BAL-LTP的计算可行方法。 • 数值算例表明了高效的单循环优化效果。 • 基于FORM的短期预测和多保真度框架。

Keyword:

Mean outcrossing rate

Bayesian active learning

Lognormal process

Nonlinear wave-induced response

Bayesian optimization

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