Work

Sensitivity Analysis and Optimization of User-Defined Parameters in Covariance-Driven Stochastic Subspace Identification

Year: 2025

Type: article

Source: International Journal of Structural Stability and Dynamics

DOI: 10.1142/s0219455426502020

Authors: Wei Liu, Na Yang, Boqi Liu, Hailong Feng, Bo Wang, Kun Du, Donato Abruzzese

Institutions: China Academy of Railway Sciences, State Key Laboratory of High-Speed Railway Track Technology, Beijing Jiaotong University, University of Rome Tor Vergata

Language: English

Topic: Structural Health Monitoring Techniques

Subfield: Civil and Structural Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: closed

Funders: National Natural Science Foundation of China, China Academy of Railway Sciences, Fundamental Research Funds for the Central Universities, Overseas Expertise Introduction Project for Discipline Innovation

Awards: G3341276537, G5664503398, G60813920, G872970010

OpenAlex ID: W4407817911

FWCI: 1.526

Cites: 30

Cited by: 4

Related to: 10