Numerical analysis of stress distribution in offshore wind turbine M72 bolted connections
Redondo, Raquel and Mehmanparast, Ali (2020) Numerical analysis of stress distribution in offshore wind turbine M72 bolted connections. Metals, 10 (5). 689. ISSN 2075-4701 (https://doi.org/10.3390/met10050689)
Preview |
Text.
Filename: Redondo_Mehmanparast_Metals_2020_Numerical_analysis_of_stress_distribution_in.pdf
Final Published Version License: Download (3MB)| Preview |
Abstract
The use of bolted joints to connect the transition piece and monopile is nowadays widely applied in the offshore wind industry. Traditionally, grouted connections were used in the early generation of offshore wind turbines, but the experienced failures in such connections led to an increased tendency towards bolted flange connections to join the transition piece and monopile in the new generation of offshore wind turbines. The bolts used for this purpose have high strength and huge sizes, and are subjected to a preload that is applied during the tightening process. The present study is focused on the analysis of preload effects on stress distribution in M72 bolted connections by considering different friction coefficients between the bolt and nut threads. The bolt is considered to be made of grade 10.9 steel, whereas the nut is assumed to be made of grade 8.8 steel, which is a softer material. Using the finite element commercial software package Abaqus, numerical models were developed and analysed to establish trends for stress distribution and plastic strains during the bolt tightening process, and to quantify stress concentration factors in individual engaged threads.
ORCID iDs
Redondo, Raquel and Mehmanparast, Ali ORCID: https://orcid.org/0000-0002-7099-7956;-
-
Item type: Article ID code: 79221 Dates: DateEvent24 May 2020Published22 May 2020AcceptedSubjects: Naval Science > Naval architecture. Shipbuilding. Marine engineering Department: Faculty of Engineering > Naval Architecture, Ocean & Marine Engineering Depositing user: Pure Administrator Date deposited: 21 Jan 2022 15:40 Last modified: 11 Nov 2024 13:21 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/79221