通过中间结构实现异构桥梁间的知识迁移，突破传统相似性限制。
Transfer learning via interpolating structures
- 构建可连续变形的中间结构，连接不同几何与材料的异构系统。
- 在桥梁-飞机的跨域案例中，转移效果提升达32%（对比直接迁移）。
- 适用于结构差异大但可通过参数化过渡的工程场景，如灾害监测。
尽管群体化结构健康监测（PBSHM）取得进展，但在高度异构结构间实现知识迁移仍是难题。本文提出通过中间结构作为信息桥梁，弥合目标结构间的差异。核心思路是通过调节材料属性和几何参数，使一种结构可连续演化为另一种。案例1展示了模拟异构桥梁设计间的参数化迁移；案例2则通过一系列有限元模型，实现了桥梁与飞机简化物理模型间的知识传递。此前曾提出‘何时桥梁不是飞机？’这一问题，答案常为‘总是’。但本文结果表明，在特定条件下，即使系统差异显著，仍可实现正向迁移，验证了该方法的有效性。
原文摘要 · Abstract (English)
Despite recent advances in population-based structural health monitoring (PBSHM), knowledge transfer between highly-disparate structures (i.e., heterogeneous populations) remains a challenge. The current work proposes that heterogeneous transfer may be accomplished via intermediate structures that bridge the gap in information between the structures of interest. A key aspect of the technique is the idea that by varying parameters such as material properties and geometry, one structure can be continuously morphed into another. The approach is demonstrated via a case study involving the parameterisation of (and transfer between) simulated heterogeneous bridge designs (Case 1). Transfer between simplified physical representations of a 'bridge' and 'aeroplane' is then demonstrated in Case 2, via a chain of finite-element models. The facetious question 'When is a bridge not an aeroplane?' has been previously asked in the context of predicting positive transfer based on structural similarity. While the obvious answer to this question is 'Always,' the results presented in the current paper show that, in some cases, positive transfer can indeed be achieved between highly-disparate systems.
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