Abstract
There is a growing interest in applications of probabilistic methods in design of offshore wind turbines. As opposed to the classical, deterministic design approach, the probabilistic design approach has the advantage of being able to account for site-specific information, experimental test results and availability of better models. This often leads to more cost-effective design solutions.
This Ph.D. thesis explores the applications of probabilistic methods in design and analysis of offshore wind turbine support structures. Some fundamental aspects and considerations are presented, including global sensitivity analysis of numerical load models, structural reliability analysis under fatigue and extreme loads, and reliability-based calibration of fatigue partial safety factors. This work provides valuable insights to researchers and engineers specializing on the fields of support structure design, reliability analysis and risk assessment.
This Ph.D. thesis explores the applications of probabilistic methods in design and analysis of offshore wind turbine support structures. Some fundamental aspects and considerations are presented, including global sensitivity analysis of numerical load models, structural reliability analysis under fatigue and extreme loads, and reliability-based calibration of fatigue partial safety factors. This work provides valuable insights to researchers and engineers specializing on the fields of support structure design, reliability analysis and risk assessment.
Originalsprog | Engelsk |
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Vejledere |
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Eksterne samarbejdspartnere | |
Udgiver | |
ISBN'er, elektronisk | 978-87-7210-559-8 |
Status | Udgivet - 2019 |
Bibliografisk note
PhD supervisors:Prof. John Dalsgaard Sørensen, Aalborg University, Denmark
M. Sc. Claus Kramhøft, COWI A/S, Denmark