Several formulations found in the literature allow estimation of the cyclic properties of materials based on static tensile test data, particularly for deriving the K′ and n′ parameters of the Ramberg–Osgood equation. This study assessed the consistency between the experimental cyclic stress–strain curves and those reconstructed using K′ and n′ values obtained by combining the various proposed relationships. The comparison was conducted using a dataset of 338 metallic alloys, predominantly iron-based, with additional aluminum and titanium alloys. As a comparison metric, the dimensionless deviation between the experimental and calculated curves was adopted. Statistical analysis of the results identified three combinations of relationships that yielded satisfactory agreement for 90% of the materials examined.

Analysis and comparison of theoretical estimates of the material’s cyclic curve / Giovanni Zonfrillo, Michelangelo Santo Gulino, Dario Vangi. - In: ENGINEERING PROCEEDINGS. - ISSN 2673-4591. - ELETTRONICO. - 131:(2026), pp. 1-13. ( 54th Conference of the Italian Scientific Society of Mechanical Engineering Design (AIAS 2025) Firenze 3-6 september 2025) [10.3390/engproc2026131031].

Analysis and comparison of theoretical estimates of the material’s cyclic curve

Giovanni Zonfrillo
Writing – Original Draft Preparation
;
Michelangelo Santo Gulino
Formal Analysis
;
Dario Vangi
Supervision
2026

Abstract

Several formulations found in the literature allow estimation of the cyclic properties of materials based on static tensile test data, particularly for deriving the K′ and n′ parameters of the Ramberg–Osgood equation. This study assessed the consistency between the experimental cyclic stress–strain curves and those reconstructed using K′ and n′ values obtained by combining the various proposed relationships. The comparison was conducted using a dataset of 338 metallic alloys, predominantly iron-based, with additional aluminum and titanium alloys. As a comparison metric, the dimensionless deviation between the experimental and calculated curves was adopted. Statistical analysis of the results identified three combinations of relationships that yielded satisfactory agreement for 90% of the materials examined.
2026
Proceedings of 54th Conference of the Italian Scientific Society of Mechanical Engineering Design (AIAS 2025)
54th Conference of the Italian Scientific Society of Mechanical Engineering Design (AIAS 2025)
Firenze
3-6 september 2025
Giovanni Zonfrillo, Michelangelo Santo Gulino, Dario Vangi
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1465836
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