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Bayesian-based method for structural damage identification using the improved snow ablation optimizer and hybrid multi-sample objective function
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DOI：10.1016/j.engstruct.2025.121264.png)
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摘要
En 中文
• 提出了一种基于贝叶斯的新型结构损伤识别方法。
• 还开发了一种混合多样本目标函数。
• 所提出的方法能够有效定位和量化结构损伤。
• 新方法表现出显著的抗噪声能力和优良的反问题不适定性免疫能力。
• 该新型基于贝叶斯的方法相较于当前的结构损伤识别方法具有许多优势。
Keyword:
Bayesian method
structural damage identification
multi-sample objective function
noise immunity
ill-posed immunity
期刊
IF:
6.4
论文数:
2.1W
被引数:
8.7W
机构
引用论文
Adaptive meta-learning stochastic gradient Hamiltonian Monte Carlo simulation for Bayesian updating of structural dynamic models自适应元学习随机梯度哈密顿蒙特卡洛模拟，用于结构动力学模型的贝叶斯更新
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