Title : ( Joint slip investigation based on finite element modelling verified by experimental results on wind turbine lattice towers )
Authors: Saleh Yaghoobi , Ahmad Shooshtari ,Access to full-text not allowed by authors
Abstract
Slippage corresponds to the relative displacement of a bolted joint subjected to shear loads since the construction clearance between the bolt shank and the bolthole at assembly can cause joint slip. Deflections of towers with joint slippage effects is up to 1.9 times greater than the displacements obtained by linear analytical methods. In this study, 8 different types of joints are modelled and studied in the finite element program, and the results are verified by the experimental results which have been done in the laboratory. Moreover, several types of joints have been modelled and studied and load-deformation curves have also been presented. Finally, joint slip data for different types of angles, bolt diameter and bolt arrangements are generated. Thereupon, damping ratios -z- for different types of connections are reported. The study can be useful to help in designing of wind turbine towers with a higher level of accuracy and safety.
Keywords
, Joint slip, cyclic loading, Finite element modelling, Experimental joint behavior, damping ratios -z-@article{paperid:1064586,
author = {Yaghoobi, Saleh and Shooshtari, Ahmad},
title = {Joint slip investigation based on finite element modelling verified by experimental results on wind turbine lattice towers},
journal = {Frontiers of Structural and Civil Engineering},
year = {2018},
volume = {12},
number = {3},
month = {September},
issn = {2095-2430},
pages = {341--351},
numpages = {10},
keywords = {Joint slip; cyclic loading; Finite element modelling; Experimental joint behavior; damping ratios -z-},
}
%0 Journal Article
%T Joint slip investigation based on finite element modelling verified by experimental results on wind turbine lattice towers
%A Yaghoobi, Saleh
%A Shooshtari, Ahmad
%J Frontiers of Structural and Civil Engineering
%@ 2095-2430
%D 2018