In order to better understand the long term
implications of the grout wear failure mode in large-diameter plainsided
grouted connections, a numerical model has been developed
and calibrated that can take advantage of existing operational plant
data to predict the wear accumulation for the actual load conditions
experienced over a given period, thus limiting the requirement for
expensive monitoring systems. This model has been derived and
calibrated based on site structural condition monitoring (SCM) data
and supervisory control and data acquisition systems (SCADA) data
for two operational wind turbine generator substructures afflicted
with this challenge, along with experimentally derived wear rates.
Funding
ESPRC (the UK Engineering and Physical Sciences Research
Council) and E.ON
History
School
Architecture, Building and Civil Engineering
Research Unit
Centre for Innovative and Collaborative Engineering (CICE)
Published in
International Conference on Materials and Structural Engineering
International Science Index
Volume
13
Issue
02
Pages
460 - 469 (10)
Citation
DALLYN, P. ... et al., 2015. Development of a numerical model to predict wear in grouted connections for offshore wind turbine generators. International Journal of Civil, Structural, Construction and Architectural Engineering. 9 (2), pp. 460 - 469.
Publisher
World Academy of Science, Engineering and Technology
Version
VoR (Version of Record)
Publisher statement
This work is made available according to the conditions of the Creative Commons Attribution 3.0 Unported (CC BY 3.0) licence. Full details of this licence are available at: http://creativecommons.org/licenses/by/3.0/
Publication date
2015
Notes
Presented at ICMSE 2015 : 17th International Conference on Materials and Structural Engineering, Kuala Lumpur, February 12 - 13, 2015 and subsequently published by WASET. World Academy of Science, Engineering and Technology applies the Creative Commons Attribution (CC BY) license to works we publish. This license was developed to facilitate open access – namely, free immediate access to, and unrestricted reuse of, original works of all types. Under this license, authors agree to make articles legally available for reuse, without permission or fees, for virtually any purpose. Anyone may copy, distribute, or reuse these articles, as long as the author and original source are properly cited.