PSI - Issue 42

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ScienceDirect

Procedia Structural Integrity 42 (2022) 1634–1642 Structural Integrity Procedia 00 (2019) 000–000 Structural Integrity Procedia 0 (20 9) 000–000

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© 2022 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 scientific committee of the 23 European Conference on Fracture – ECF23 Abstract Some industrial applications require properties of materials to be determined to evaluate components’ safety in the event of loading and impact. Understanding the behaviour of materials subjected to extreme dynamic loading will aid in enhancing their design. This work is based on developing methods to appraise high loading rate measurements. Di ff erent approaches to quantify material properties such as finite element method (FEM), instrumented Charpy testing, and impact testing using servo-hydraulic testing ma chines are included. Testing is performed at various loading rates, extending existing quasi-static fracture toughness determination to higher loading rates, and accounting for strain-rate dependent properties. The high loading rate servo-hydraulic test machine lo cated at TWI, Cambridge has the capacity to test up to a displacement rate of 20 m / s. The force, displacement, and time parameters are captured by Digital Image Correlation (DIC), which improves the accuracy of the results obtained from experiments. More over, the underlying plasticity theory to capture the influence of the strain rate is presented, along with damage constants for FEM calculations adopting the Johnson-Cook model. In addition to the Johnson-Cook approach, analytical solutions using dislocation evolution theory were applied which features the e ff ects of phonon drag and dynamic recovery coe ffi cient in body-centered cubic materials of which X65 grade steel was applied. Also, a deep learning framework was built to predict the tensile curves when given specific test conditions and sample specifications. It was found that high strain rate tests lead to local change at the crack tip which increases plasticity and reduces fracture toughness with single-edged notched three-point bend specimen. The yield strength of the material increased with loading rates during tensile testing leading to a ductile to brittle transition of metals. These strategies were used to establish a revised approach for high strain rate testing and predicting stress-strain curves with a machine learning algorithm. 2020 The Authors. Published by Elsevier B.V. is is an open access article under the CC BY-NC-ND license (http: // creativec mmons.org / licenses / by-nc-nd / 4.0 / ) er-review under responsibility of 23 European Conference on F acture – ECF23 . Keywords: Dynamic loading; Plasticity; Fracture toughness Artu¯ras Tadzˇijevas d , Pedro E.J. Rivera-Diaz-del-Castillo a a School of Engineering, Lancaster University, Lancaster LA1 4YW, United Kingdom b National Structural Integrity Center (NSIRC), The Welding Institute (TWI) Ltd, Great Abington, Cambridge, CB21 6AL, United Kingdom c Brunel University, Kingston Ln, London, Uxbridge UB8 3PH United Kingdom d Marine Research Institute, Mechanics and Marine Engineering Laboratory, Klaipe˙da University, LT-92294 Klaipe˙da, Lithuania Abstract Some industrial applications require properties of materials to be determined to evaluate components’ safety in the event of loading and impact. Understanding the behaviour of materials subjected to extreme dynamic loading will aid in enhancing their design. This work is based on developing methods to appraise high loading rate measurements. Di ff erent approaches to quantify material properties such as finite element method (FEM), instrumented Charpy testing, and impact testing using servo-hydraulic testing ma chines are included. Testing is performed at various loading rates, extending existing quasi-static fracture toughness determination to higher loading rates, and accounting for strain-rate dependent properties. The high loading rate servo-hydraulic test machine lo cated at TWI, Cambridge has the capacity to test up to a displacement rate of 20 m / s. The force, displacement, and time parameters are captured by Digital Image Correlation (DIC), which improves the accuracy of the results obtained from experiments. More over, the underlying plasticity theory to capture the influence of the strain rate is presented, along with damage constants for FEM calculations adopting the Johnson-Cook model. In addition to the Johnson-Cook approach, analytical solutions using dislocation evolution theory were applied which features the e ff ects of phonon drag and dynamic recovery coe ffi cient in body-centered cubic materials of which X65 grade steel was applied. Also, a deep learning framework was built to predict the tensile curves when given specific test conditions and sample specifications. It was found that high strain rate tests lead to local change at the crack tip which increases plasticity and reduces fracture toughness with single-edged notched three-point bend specimen. The yield strength of the material increased with loading rates during tensile testing leading to a ductile to brittle transition of metals. These strategies were used to establish a revised approach for high strain rate testing and predicting stress-strain curves with a machine learning algorithm. © 2020 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http: // creativecommons.org / licenses / by-nc-nd / 4.0 / ) Peer-review under responsibility of 23 European Conference on Fracture – ECF23 . Keywords: Dynamic loading; Plasticity; Fracture toughness 23 European Conference on Fracture – ECF23 An Industrial Approach to High Strain Rate Testing Chiamaka Emilia Ikenna-Uzodike a,b, ∗ , Yin Jin Janin b , Marius Gintalas c , Wei Wen a , Artu¯ras Tadzˇijevas d , Pedro E.J. Rivera-Diaz-del-Castillo a a School of Engineering, Lancaster University, Lancaster LA1 4YW, United Kingdom b National Structural Integrity Center (NSIRC), The Welding Institute (TWI) Ltd, Great Abington, Cambridge, CB21 6AL, United Kingdom c Brunel University, Kingston Ln, London, Uxbridge UB8 3PH United Kingdom d Marine Research Institute, Mechanics and Marine Engineering Laboratory, Klaipe˙da University, LT-92294 Klaipe˙da, Lithuania 23 European Conference on Fracture – ECF23 An Industrial Approach to High Strain Rate Testing Chiamaka Emilia Ikenna-Uzodike a,b, ∗ , Yin Jin Janin b , Marius Gintalas c , Wei Wen a ,

∗ Corresponding author. Tel.: + 44 7466341718 E-mail address: c.mbanusi@lancaster.ac.uk ∗ Corresponding author. Tel.: + 44 7466341718 E-mail address: c.mbanusi@lancaster.ac.uk

2452-3216 © 2022 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 scientific committee of the 23 European Conference on Fracture – ECF23 10.1016/j.prostr.2022.12.206 2210-7843 © 2020 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http: // creativecommons.org / licenses / by-nc-nd / 4.0 / ) Peer-review u der responsibility of 23 European Conference on Fracture – ECF23 . 2210-7843 © 2020 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http: // creativecommons.org / licenses / by-nc-nd / 4.0 / ) Peer-review under responsibility of 23 European Conference on Fracture – ECF23 .