Dynamic Modal Evolution of High-Speed Train Car Bodies Under Complex Boundary and Load Conditions: A Field Test Study

Stochastic Subspace Identification (SSI) theory offers the distinct advantage of extracting modal parameters directly from operational ambient excitations without requiring artificial force, ensuring completely true boundary conditions and providing extensive field measurement data. In this study, w...

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Bibliografische Detailangaben

Hauptverfasser:	Zhanghui Xia, Baochen Liu, Dao Gong
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	MDPI AG 2026-03-01
Schriftenreihe:	Machines
Schlagworte:	railway vehicle operational modal analysis (OMA) stochastic subspace identification multi-physics coupling variable mass system boundary conditions
Online-Zugang:	https://www.mdpi.com/2075-1702/14/3/324
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