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Sensitivity-analysis guided Bayesian optimization for crystal plasticity parameter identification
DOI:10.1016/j.ijmecsci.2026.111205.png)
摘要
En 中文
• 该框架集成了敏感性分析和贝叶斯优化 • 敏感性分析在不牺牲精度的情况下将参数维度减少了50–75% • 贝叶斯优化优于基于梯度的和启发式算法 • 实现了晶体塑性模型参数的高效且鲁棒识别 • 适用于处理不同复杂度的晶体塑性模型
期刊
IF:
9.4
论文数:
1.0W
被引数:
4.5W
机构
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