Terekhina, A., Anastasiia, K., Plekhov, O. et al. (1 more author) (2017) Elasto-plastic TCD as a method of failure prediction. In: Procedia Structural Integrity. 2nd International Conference on Structural Integrity, ICSI 2017, 04-07 Sep 2017, Funchal, Portugal. Elsevier , pp. 569-576.
Abstract
Development of the method for assessing the strength of engineering structures, considering the effects of the non-locality fracture in the area of stress concentrators, under different loading regime is one of the major scientific interests. In the present study the linear-elastic Theory of Critical Distances (TCD) is modificated for the case of elasto-plastic material behavior. The for plotting Johnson–Cook model was used for simulation of material behavior, and an elasto-plastic critical distance value was used in order to estimate the strength of the tested samples. The accuracy and reliability of the proposed design methodology was checked against experimental data: the cylindrical un-notched specimens and samples with stress concentrators of titanium alloy Grade2 were tested under tensile loading with different strain rate. Mechanical tests were carried out using a 300 kN electromechanical testing machine Shimadzu AG-X Plus and Gopkinson-Kolskiy's split bar. The obtained results showed that the use of the modification of the TCD based on elasto-plastic material behavior gives us estimates falling within an error up to 12% which means that the elasto-plastic TCD gives more accurate predictions than the linear elastic TCD solution (when using of elastic stress information the error interval is ± 15-20%).
Metadata
Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2017 The Authors. | ||||
Keywords: | Theory of Critical Distances; notches; static fracture; dynamic fracture; linear-elastic analysis elasto-plastic analysis | ||||
Dates: |
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Institution: | The University of Sheffield | ||||
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Civil and Structural Engineering (Sheffield) | ||||
Funding Information: |
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Depositing User: | Symplectic Sheffield | ||||
Date Deposited: | 14 Sep 2017 13:43 | ||||
Last Modified: | 19 Dec 2022 13:36 | ||||
Published Version: | https://doi.org/10.1016/j.prostr.2017.07.174 | ||||
Status: | Published | ||||
Publisher: | Elsevier | ||||
Refereed: | Yes | ||||
Identification Number: | https://doi.org/10.1016/j.prostr.2017.07.174 |