Vibration‐based monitoring of a small‐scale wind turbine blade under varying climate and operational conditions. Part II: A numerical benchmark

Abstract

This paper constitutes the numerical companion of the experimental work on vibration-based monitoring of a small-scale wind turbine (WT) blade. In this second part, a numerical benchmark is established for condition assessment of a Windspot 3.5-kW WT blade. The aim is to supplement the companion experimental work with a physical model exposed to diverse operational conditions, loading scenarios, and damage patterns that are not easily explorable and controllable in the laboratory. To this end, a finite element (FE) model of the considered blade is developed and subjected to a number of artificial damage scenarios, which are dynamically tested under both environmental and operational variability. The paper offers a detailed description of the numerical benchmark and the underlying assumptions, as well as the spectrum of operational conditions, the measured quantities, and the wind load model. Finally, we provide an overview and demonstration of the stand-alone application for time history analysis and generation of synthetic vibration data, which is made available via an open-access code in Sonkyo-Benchmark repository.

Seismic assessment of bridges through structural health monitoring: a state-of-the-art review

“…Based on the chosen sensor placement, data-related quantities that may indicate location and severity of damage largely rely on utilization of mode shapes, or their derivatives such as mode shape curvatures (MSCs) (Lacarbonara et al 2016), and associated quantities such as modal strain energy (Zhao et al 2020;Tatsis et al 2018) or interpolation error (Limongelli 2010). Khan et al (2022) proposed a novel approach for estimating modal parameters of bridges, including damage-induced changes of boundary conditions, by using progressively redeploying sensors along the axis of a monitored bridge.…”

Short-Term Damping Estimation for Time-Varying Vibrating Structures in Nonstationary Operating Conditions

“…EOC-induced variability has also been addressed by leveraging measured Environmental and Operational Variables (EOVs) (i.e., measured quantities associated with EOCs) of vibrating structures of different types, e.g., wind turbines [1,2,[12][13][14][15][16], bridges [17][18][19], a viaduct [20], and high-rise buildings [21,22]. This has especially received attention within the Structural Health Monitoring (SHM) research community [23], as fluctuating EOCs can significantly impact the modal parameters, which are key to the identification of structural damage.…”