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Jawalageri, Satish
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Jawalageri, Satish
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Now showing 1 - 3 of 3
- PublicationAn integrated dynamic analysis of a 5MW monopile-supported offshore wind turbine under environmental loadsThis paper investigates the dynamic behaviour of an offshore wind turbine (OWT) supported on medium dense sand using an integrated load assessment. An integrated modelling approach is introduced to allow for considering aerodynamic and hydrodynamic loading and also soil-structure interaction. A numerical model of the NREL 5MW monopile-supported OWT is initially developed in OpenFAST software. The foundation of the structure is modelled using SESAM software where soilstructure interaction is adopted using API curves and integrated to the OpenFAST model using the stiffness values at mudline level. The integrated model provides a better understanding of the structural behaviour of OWT under various environmental conditions.
42 - PublicationA comparative study of load estimation methods for offshore wind turbines using a simplified and a high fidelity methods(MDPI, 2022-09-22)
; ; ; This paper compares the critical loads calculated for offshore wind turbines (OWTs) at mudline level using a simplified approach and a high-fidelity approach. Three OWTs, NREL 5MW, DTU 10MW and IEA 15MW are used as reference models. Extreme Turbulence Model wind load at rated wind speed combined with the 50-year Extreme Wave Height (EWH) and Extreme Operating Gust (EOG) wind load combined with the 1-year maximum wave height are used as the load combinations in this study. OpenFAST simulations are used as the high-fidelity approach, where the results are then compared with a simplified load estimation approach previously proposed. It is shown that the simplified method provides conservative results for the estimated loads compared to the OpenFAST results. This means that the simplified approach can be effectively used during initial phases of the monopile foundation design by using factor as 1.5 and 2 for shear force and bending moment, respectively.10 - PublicationA data-driven approach for scour detection around monopile-supported offshore wind turbines using Naive Bayes classification(Elsevier, 2024-05-01)
; ; ; ; This paper proposes a novel data-driven framework for scour detection around offshore wind turbines (OWTs), where damage features are derived from wind and wave-induced acceleration signals collected along the tower. A numerical model of the NREL 5 MW wind turbine, which considers aerodynamic and hydrodynamic loading with soil-structure interaction (SSI) and servo-dynamics, is developed. The model is used to simulate the acceleration responses along the tower for a healthy structure, and a structure affected by progressive scour. A data segmentation process is initially performed on the collected data, which is followed by a feature selection scheme based on the analysis-of-variance (ANOVA) algorithm, to eliminate irrelevant characteristics from the time domain feature set of responses. The proposed framework consists of two main components: (a) offline training, and (b) real-time classification. The acceleration responses collected from the healthy structure and the structure subjected to three different damage scenarios (different scour depths) and under various load conditions, are used in the offline training mode. The selected feature vector from the feature extraction process is used as input to a Naive Bayes classifier (NBC) algorithm to train the model. In the real-time classification, a prediction of the scour depth affecting the structure is performed using a new dataset simulated from unseen load cases and scour conditions of the OWT. The results show that the model trained in the offline stage can predict the scour depth in the real-time monitoring stage with performance measures over approximately 94%.6Scopus© Citations 2