The wind records in a basic interval are usually regarded as a stationary random process in analysis of wind characteristics. However, field measurements have also captured nonstationary features of the boundary layer wind during extreme wind events. To reasonably characterize the wind records, the nonstationarity of the signals should be evaluated properly before signal processing. In this study, the local recurrence rate loss (LRRL) is proposed as a novel recurrence measure for nonstationarity evaluation of wind records. Specifically, the LRRL is defined as the quality loss function (QLF) of the local recurrence rate (LRR) that is conducted from the recurrence plot (RP) using the recurrence quantification analysis (RQA). To demonstrate the feasibility of the proposed LRRL, five typical signals are utilized first to evaluate its performance. Subsequently, the extreme wind records collected from the structural health monitoring system (SHMS) installed on the Sutong Bridge is employed to further assess the performance of the proposed LRRL. For both the synthetic signals and real-time wind records, the commonly used measure recurrence trend (RT) is presented for comparison purpose. The results show that the proposed LRRL performs better than the RT in nonstationarity evaluation of both the synthetic signals and real-time wind records.
Quantitative Assessment of Nonstationarity of Wind Speed Signal Using Recurrence Plot
Journal of Aerospace Engineering ; 32 , 6
20.08.2019
Aufsatz (Zeitschrift)
Elektronische Ressource
Unbekannt
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