Stripe‐based fragility analysis of multispan concrete bridge classes using machine learning techniques

Summary A framework for the generation of bridge‐specific fragility curves utilizing the capabilities of machine learning and stripe‐based approach is presented in this paper. The proposed methodology using random forests helps to generate or update fragility curves for a new set of input parameters...

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Veröffentlicht in:	Earthquake engineering & structural dynamics Jg. 48; H. 11; S. 1238 - 1255
Hauptverfasser:	Mangalathu, Sujith, Jeon, Jong‐Su
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Bognor Regis Wiley Subscription Services, Inc 01.09.2019
Schlagworte:	Artificial intelligence bridge‐specific fragility Computer applications Concrete bridges Forests Fragility Learning algorithms Machine learning Mathematical models Methodology multispan bridges Numerical models regional risk assessment Risk assessment
ISSN:	0098-8847, 1096-9845
Online-Zugang:	Volltext
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