Robust and simple failure prediction is a relevant and active field of research. The present work aims at unifying the Theory of Critical Distances (TCD) and Averaged Strain Energy Density (ASED) criterion. The proposed Energy TCD is formulated along with analytical expressions for the characteristic length scales and validated using experimental data. On this data set, the accuracy of the Energy TCD is similar to that of the classical methods. Most importantly, the presented methods allow to transfer the point-based calibration technique from notched specimens, which is common for the TCD, to the Energy TCD ASED criterion. © 2022 The Author(s)

Energy TCD - robust and simple failure prediction unifying the TCD and ASED criterion

Filippo Berto
Conceptualization
;
2022

Abstract

Robust and simple failure prediction is a relevant and active field of research. The present work aims at unifying the Theory of Critical Distances (TCD) and Averaged Strain Energy Density (ASED) criterion. The proposed Energy TCD is formulated along with analytical expressions for the characteristic length scales and validated using experimental data. On this data set, the accuracy of the Energy TCD is similar to that of the classical methods. Most importantly, the presented methods allow to transfer the point-based calibration technique from notched specimens, which is common for the TCD, to the Energy TCD ASED criterion. © 2022 The Author(s)
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11573/1654339
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