Design of concrete-filled steel tubular columns using data-driven methods

By leveraging the merits of structural steel and concrete materials, concrete-filled steel tubular (CFST) structures have been increasingly used in the composite construction of bridges and high-rise buildings. However, their design equations are more complicated than those of steel and reinforced c...

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Veröffentlicht in:	Journal of constructional steel research Jg. 200; S. 107653
Hauptverfasser:	Degtyarev, Vitaliy V., Thai, Huu-Tai
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.01.2023
Schlagworte:	Boosting algorithms CFST columns Machine learning Reliability analysis Resistance reduction factor Structural design Structural design Reliability analysis Resistance reduction factor CFST columns Machine learning Boosting algorithms
ISSN:	0143-974X, 1873-5983
Online-Zugang:	Volltext
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