Título: | ELLIPTICAL CURVE METHOD FOR FATIGUE LIFE PREDICTION OF STRUCTURAL STEELS UNDER MULTIAXIAL LOADINGS | ||||||||||||
Autor: |
TIAGO LIMA D ALBUQUERQUE E CASTRO |
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Colaborador(es): |
MARCOS VENICIUS SOARES PEREIRA - Orientador |
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Catalogação: | 14/MAR/2024 | Língua(s): | ENGLISH - UNITED STATES |
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Tipo: | TEXT | Subtipo: | THESIS | ||||||||||
Notas: |
[pt] Todos os dados constantes dos documentos são de inteira responsabilidade de seus autores. Os dados utilizados nas descrições dos documentos estão em conformidade com os sistemas da administração da PUC-Rio. [en] All data contained in the documents are the sole responsibility of the authors. The data used in the descriptions of the documents are in conformity with the systems of the administration of PUC-Rio. |
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Referência(s): |
[pt] https://www.maxwell.vrac.puc-rio.br/projetosEspeciais/ETDs/consultas/conteudo.php?strSecao=resultado&nrSeq=66216&idi=1 [en] https://www.maxwell.vrac.puc-rio.br/projetosEspeciais/ETDs/consultas/conteudo.php?strSecao=resultado&nrSeq=66216&idi=2 |
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DOI: | https://doi.org/10.17771/PUCRio.acad.66216 | ||||||||||||
Resumo: | |||||||||||||
A direct relation where fatigue life Number of cycles to failure can be determined as function of
macroscopic normal and shear stress amplitudes Macroscopic normal stress amplitude and Macroscopic shear stress amplitude is established. Using the
Carpinteri and Spagnoli (CandS) criterion as a survey tool, elliptical level curves in the
Macroscopic normal stress amplitude x Macroscopic shear stress amplitude domain were revealed and further generalised, providing means to
determine the number of cycles to failure for any given (Macroscopic normal stress amplitude, Macroscopic shear stress amplitude
) combination.
Predictions obtained through the elliptical curve method (E) were compared to
experimental observations, as well as to predictions obtained from adapted versions
of popular fatigue criteria, namely Findley (F), Matake (M), McDiarmid (McD),
Susmel and Lazzarin (SandL), Carpinteri and Spagnoli (CandS) and Papadopoulos (P).
The proposed model delivered predictions in fair agreement with experimental
observations and its predictive capability was seen to be the best among all the
considered criteria. Finally, a slight bias towards conservativeness was attenuated
with the introduction of an adjusting parameter, further improving the predictive
capability of the model.
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