Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Handling Environmental and Operational Variations in Structural Health Monitoring
Abstract Handling environmental and operational variability is currently the major challenge in successfully implementing the structural health monitoring techniques on real structures especially civil structures like bridges. Even though several methods are proposed in the literature to handle the environmental variability, it still remains an active area of research. In this paper, we present a damage diagnostic technique capable of handling environmental variability is presented. The method proposed is based on time series and we combine time series (AR-ARX) model with cointegration techniques to isolate the effects of environmental and operational variability in the measured acceleration time history signals. Numerical and experimental verification of the proposed algorithm is presented in this paper.
Handling Environmental and Operational Variations in Structural Health Monitoring
Abstract Handling environmental and operational variability is currently the major challenge in successfully implementing the structural health monitoring techniques on real structures especially civil structures like bridges. Even though several methods are proposed in the literature to handle the environmental variability, it still remains an active area of research. In this paper, we present a damage diagnostic technique capable of handling environmental variability is presented. The method proposed is based on time series and we combine time series (AR-ARX) model with cointegration techniques to isolate the effects of environmental and operational variability in the measured acceleration time history signals. Numerical and experimental verification of the proposed algorithm is presented in this paper.
Handling Environmental and Operational Variations in Structural Health Monitoring
Lakshmi, K. (Autor:in) / Rama Mohan Rao, A. (Autor:in)
02.08.2018
12 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
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