Comparative study of a newly proposed machine learning classification to detect damage occurrence in structures

Over the past two decades, an increasing number of large-scale structures have been built around the world. Constructing these structures has been a time consuming and highly expensive process. Thus, providing a structural health monitoring system to guarantee their proper functionality is important...

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Veröffentlicht in:	Engineering applications of artificial intelligence Jg. 127; S. 107226
Hauptverfasser:	Ahmadian, Vahid, Beheshti Aval, S. Bahram, Noori, Mohammad, Wang, Tianyu, Altabey, Wael A.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.01.2024
Schlagworte:	Damage detection Hybrid machine learning algorithm Stacking method Structural health monitoring XGBoost Stacking method Structural health monitoring Damage detection XGBoost Hybrid machine learning algorithm
ISSN:	0952-1976, 1873-6769
Online-Zugang:	Volltext
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