PSI - Issue 57

Available online at www.sciencedirect.com Available online at www.sciencedirect.com ScienceDirect Structural Integrity Procedia 00 (2022) 000 – 000 ScienceDirect Structural Integrity Procedia 00 (2022) 000 – 000

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www.elsevier.com/locate/procedia

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Procedia Structural Integrity 57 (2024) 335–342 Fatigue Design 2023 (FatDes 2023) Self-heating test under cyclic loading at 20kHz: determination of the heat source field SEVEDE Théo a , DEMMOUCHE Younes a , ARBAB CHIRANI Shabnam a , CALLOCH Sylvain a a IRDL – UMR CNRS 6027 – ENSTA Bretagne, 2 Rue François Verny, Brest 29200, France Fatigue Design 2023 (FatDes 2023) Self-heating test under cyclic loading at 20kHz: determination of the heat source field SEVEDE Théo a , DEMMOUCHE Younes a , ARBAB CHIRANI Shabnam a , CALLOCH Sylvain a a IRDL – UMR CNRS 6027 – ENSTA Bretagne, 2 Rue François Verny, Brest 29200, France Abstract For several years, research teams have been interested in characterizing HCF properties from self-heating tests under cyclic loadings. This method is based on two parts: the experimental characterization which deals with the temperature monitoring during cyclic loading, and a probabilistic multiscale model that enables to describe the thermomechanical behavior of the material and predict the fatigue curves. This method has been widely studied and validated at low frequency (<100Hz) on many materials. However, the application of this method to high frequency tests needs to set up a new approach to postprocess the testing results. Indeed, the particular conditions of the high frequency tests requires to consider the stress heterogeneities through the sample. An experimental protocol was therefore set up to perform self-heating tests on a high frequency machine as well as a numerical model of the test to assess different test configurations and boundary conditions. The objective of this study is to adapt the self heating method for high frequency solicitations and to identify the thermal source through the sample with considering the mechanical field heterogeneities. This represents a crucial first step to determine the fatigue curves of different materials in the very high cycle fatigue (VHCF) domain. Abstract For several years, research teams have been interested in characterizing HCF properties from self-heating tests under cyclic loadings. This method is based on two parts: the experimental characterization which deals with the temperature monitoring during cyclic loading, and a probabilistic multiscale model that enables to describe the thermomechanical behavior of the material and predict the fatigue curves. This method has been widely studied and validated at low frequency (<100Hz) on many materials. However, the application of this method to high frequency tests needs to set up a new approach to postprocess the testing results. Indeed, the particular conditions of the high frequency tests requires to consider the stress heterogeneities through the sample. © 2024 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 Fatigue Design 2023 organizers © 2023 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 Fatigue Design 2023 organizers Keywords: Self-heating; VHCF; 1D Analysis; An experimental protocol was therefore set up to perform self-heating tests on a high frequency machine as well as a numerical model of the test to assess different test configurations and boundary conditions. The objective of this study is to adapt the self heating method for high frequency solicitations and to identify the thermal source through the sample with considering the mechanical field heterogeneities. This represents a crucial first step to determine the fatigue curves of different materials in the very high cycle fatigue (VHCF) domain. © 2023 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 Fatigue Design 2023 organizers Keywords: Self-heating; VHCF; 1D Analysis; 2452-3216 © 2023 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 Fatigue Design 2023 organizers 2452-3216 © 2023 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 Fatigue Design 2023 organizers

2452-3216 © 2024 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 Fatigue Design 2023 organizers 10.1016/j.prostr.2024.03.036