Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14365/1376
Title: A new analytical model to estimate maximum internal socket depth of non-reduced strength bolts
Authors: Kocaturk, Fatih
Toparli, M. Burak
Tanrikulu, Baris
Ince, Umut
Kilicaslan, Cenk
Keywords: Fracture (mathematical)
Failure criterion
Structural integrity
Mechanical testing
Finite element modelling
Metal forming
Industrial applications
Publisher: Elsevier
Abstract: In this study, an analytical model for calculation of the maximum socket depth of bolts having shaft diameter smaller than socket diameter was introduced. A representative bolt was chosen and maximum socket depth satisfying the minimum ultimate tensile strength was calculated by the developed analytical model. The analytical findings were also compared with numerical simulations for validation. Numerical studies were carried out by using Simufact.forming finite element software. The maximum socket depth estimated by using the developed analytical model was in good agreement with the numerical results. The obtained critical socket depth through the analytical model was 1.4% safer compared to numerical simulation results. Therefore, it was concluded that the developed analytical model could be used to estimate the critical socket depths of bolts having shaft diameter smaller than socket diameter. (C) 2020 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0) Peer-review under responsibility of the European Structural Integrity Society (ESIS) ExCo
Description: 1st European-Structural-Integrity-Society (ESIS) Virtual European Conference on Fracture (ECF) -- JUN 29-JUL 01, 2020 -- ELECTR NETWORK
URI: https://doi.org/10.1016/j.prostr.2020.11.109
https://hdl.handle.net/20.500.14365/1376
ISSN: 2452-3216
Appears in Collections:Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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