Indirect Wave Load Estimates Using Operational Modal Analysis

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Field Value
 
Title Indirect Wave Load Estimates Using Operational Modal Analysis
 
Creator Vigsø, Michael; Aarhus Universitet
 
Subject wave loads
OMA
indirect methods
finite element
offshore structures
wave flume
 
Description Wave loading of offshore structures may pose a governing element to their design and drive the operational conditions. As offshore structures, such as oil rigs and wind turbines, are exposed to the harsh environment at sea, they are pronetofatiguedamage,whichlimitstheiroperationallifetime. Predictingthe wave loading is subject to much uncertainty as it depends on the site-specific metocean conditions and surface properties of the structure. These conditions may change during the lifetime of the installations. It is thus of great interest to monitor the wave loading occurring at actual conditions to ensure that the reliability is maintained. This thesis features methods of indirect measurements of wave loading. Since it is unfeasible to measure the loading directly, operators need to rely on indirect methods instead. This is done by utilizing the information embedded within the vibrations of the structure. By means of output-only system identification techniques, it is possible to decipher these vibrations to obtain an estimate of the loads. The thesis addresses the current state-of-the-art techniques for system identification and, successively, load identification algorithms. Solutions are evaluated in both the frequency domain as well in the time domain. The performance of load identification is demonstrated through multiple experimental campaigns in both dry and wet conditions. It is sought to determine the limitations of the methods under different loading conditions. Attached to this thesis are eight papers which combined span the extent of this study. Chapter6 shows the papers arranged by the suggested reading order.
 
Publisher AU Library Scholarly Publishing Services
AU Library Scholarly Publishing Services
 
Date 2020-04-29
 
Type Bog
 
Format Digital (DA)
 
Identifier https://ebooks.au.dk/aul/catalog/book/372
978-87-7507-473-0
 
Source AU Library Scholarly Publishing Services;
AU Library Scholarly Publishing Services;
 

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