Michailides, Constantine (rp08051)

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Type:  Article
Date Issued:  2021
Fulltext:  No Fulltext

Results 1-10 of 10 (Search time: 0.002 seconds).

Issue DateTitleAuthor(s)
115-Dec-2021Nowcasting significant wave height by hierarchical machine learning classificationDemetriou, Demetris ; Michailides, Constantine ; Papanastasiou, George ; Onoufriou, Toula 
2Dec-2021Structural health monitoring of tendons in a multibody floating offshore wind turbine under varying environmental and operating conditionsSakaris, Christos S. ; Yang, Yang ; Bashir, Musa ; Michailides, Constantine ; Wang, Jin ; Sakellariou, John S. ; Li, Chun 
3Dec-2021Layout optimization of heaving Wave Energy Converters linear arrays in front of a vertical wallLoukogeorgaki, Eva ; Michailides, Constantine ; Lavidas, George ; Chatjigeorgiou, Ioannis K. 
4Oct-2021Coupled analysis of a 10 MW multi-body floating offshore wind turbine subjected to tendon failuresYang, Yang ; Bashir, Musa ; Michailides, Constantine ; Mei, Xuan ; Wang, Jin ; Li, Chun 
51-Sep-2021Comparative Experimental and Numerical Study of Wave Loads on A Monopile Structure Using Different Turbulence ModelsZeng, Xin meng ; Shi, Wei ; Michailides, Constantine ; Wang, Kai ; Li, Xin 
61-Sep-2021Diagnosis of damaged tendons on a 10 MW multibody floating offshore wind turbine platform via a response-only functional model based methodSakaris, Christos S. ; Bashir, Musa ; Yang, Yang ; Michailides, Constantine ; Wang, Jin ; Sakellariou, John S. 
7Sep-2021Numerical and experimental investigation of breaking wave forces on a monopile-type offshore wind turbineZeng, Xinmeng ; Shi, Wei ; Michailides, Constantine ; Zhang, Songhao ; Li, Xin 
81-Apr-2021Superstatistics and isotropic turbulenceGravanis, Elias ; Akylas, Evangelos ; Michailides, Constantine ; Livadiotis, George 
9Mar-2021Effects of nonlinear wave loads on large monopile offshore wind turbines with and without ice-breaking cone configurationTang, Ye ; Shi, Wei ; You, Jikun ; Michailides, Constantine 
101-Feb-2021Coastal zone significant wave height prediction by supervised machine learning classification algorithmsDemetriou, Demetris ; Michailides, Constantine ; Papanastasiou, George ; Onoufriou, Toula