Damage Identification in Large‐Scale Structures Using Time Series Analysis and Improved Sparse Regularization

The academic community has paid much attention to the research topic of structural health monitoring (SHM) and damage identification for several decades, which flourishes the development of diverse damage identification approaches. The sensitivity‐based damage identification enjoys popularity due to...

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Veröffentlicht in:	Advances in Civil Engineering Jg. 2025; H. 1
Hauptverfasser:	Chen, Huihui, Yuan, Xiaojing
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York John Wiley & Sons, Inc 01.01.2025 Wiley
Schlagworte:	Accuracy Algorithms Analysis Autoregressive processes Bridges Composite materials Continuous bridges Convergence Damage detection Damage tolerance Errors Finite element method Fire damage Flexibility Genetic algorithms Identification Mathematical analysis Mathematical models Modal identification Model reduction Neural networks Noise pollution Optimization algorithms Parameter identification Parameter sensitivity Parameter uncertainty Process engineering Regression analysis Regularization Regularization methods Sensitivity analysis Sensors Steel bridges Structural health monitoring Technology application Time series Truss bridges Arkansas
ISSN:	1687-8086, 1687-8094
Online-Zugang:	Volltext
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