Wind-induced tree motion emerges from the interaction between airflow and complex biomechanical structures, yet the mechanisms linking wind loading to whole-tree response remain insufficiently constrained under field conditions. Here, local airflow measurements and distributed tree response sensing are combined to develop a physically motivated reduced-order description of wind-tree interaction across temporal and spatial scales. A physically motivated loading proxy derived from wind speed was analyzed together with wind-induced tree response using singular value decomposition and maximum covariance analysis, revealing that wind loading and tree response are dominated by a single coupled mode. Local linearization and Hill-type saturation analysis demonstrate that effective wind-tree coupling evolves systematically with increasing wind loading, transitioning from a load-sensitive regime to a saturation regime characterized by reduced incremental response. Event-based analysis shows that dynamic amplification becomes mechanically relevant only when short-term wind fluctuations act on an elevated quasi-static load state. Integrating quasi-static loading, dynamic excitation, and exposure duration, the Tree Response Index is introduced as a process-oriented descriptor of mechanically effective wind loading. Reconstruction of the tree response confirms that this dominant coupled mode represents coherent global bending with consistent scaling along the stem, indicating that whole-tree dynamics collapse onto a low-dimensional response structure. Together, the results suggest that wind impact on the sample trees emerges from distinct load regimes in which quasi-static baseline loading modulates the mechanical relevance of short-term turbulent fluctuations. The proposed framework offers a pathway toward reduced monitoring requirements and improved mechanistic risk assessment.
原文链接
分享
引用
