Multiaxial high-cycle fatigue modelling for random loading

In this paper, a multiaxial fatigue life prediction model is proposed under general multiaxial random loadings. First, a brief review for existing multiaxial fatigue models is given and special focus is on the LiuMahadevan critical plane concept, which can be applied to both brittle and ductile mate...

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Main Authors: Wei Haoyang, Chen Jie, Carrion Patricio, Imanian Anahita, Shamsaei Nima, Iyyer Nagaraja, Liu Yongming
Format: Article
Language:English
Published: EDP Sciences 2019-01-01
Series:MATEC Web of Conferences
Online Access:https://www.matec-conferences.org/articles/matecconf/pdf/2019/49/matecconf_icmff1218_12005.pdf
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author Wei Haoyang
Chen Jie
Carrion Patricio
Imanian Anahita
Shamsaei Nima
Iyyer Nagaraja
Liu Yongming
author_facet Wei Haoyang
Chen Jie
Carrion Patricio
Imanian Anahita
Shamsaei Nima
Iyyer Nagaraja
Liu Yongming
author_sort Wei Haoyang
collection DOAJ
description In this paper, a multiaxial fatigue life prediction model is proposed under general multiaxial random loadings. First, a brief review for existing multiaxial fatigue models is given and special focus is on the LiuMahadevan critical plane concept, which can be applied to both brittle and ductile materials. Next, new model development based on the Liu-Mahadevan critical plane concept for random loading is presented. The key concept is to use two-steps to identify the critical plane: identify the maximum damage plane due to normal stress and calculate the critical plane orientation with respect to the maximum damage plane due to normal stress. Multiaxial rain-flow cycle counting method with mean stress correction is used to estimate the damage on the critical plane. Equivalent stress transformation is proposed to convert the multiaxial random load spectrum to an equivalent constant amplitude spectrum. The equivalent stress is used for fatigue life prediction. Following this, experimental design and testing is performed for Al 7075-T6 under various different random uniaxial and multiaxial spectrums. The developed model is validated with both literature and in-house testing data. Very good agreement is observed for the investigated material. Finally, conclusion and future work is given based on the proposed study.
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spelling doaj.art-0ab0f07b3935472e868d05632f148c7b2022-12-21T19:43:54ZengEDP SciencesMATEC Web of Conferences2261-236X2019-01-013001200510.1051/matecconf/201930012005matecconf_icmff1218_12005Multiaxial high-cycle fatigue modelling for random loadingWei Haoyang0Chen Jie1Carrion PatricioImanian Anahita2Shamsaei NimaIyyer Nagaraja3Liu Yongming4Department of Mechanical Engineering, Arizona State UniversityDepartment of Mechanical Engineering, Arizona State UniversityTechnical Data Analysis, Inc.Technical Data Analysis, Inc.Department of Mechanical Engineering, Arizona State UniversityIn this paper, a multiaxial fatigue life prediction model is proposed under general multiaxial random loadings. First, a brief review for existing multiaxial fatigue models is given and special focus is on the LiuMahadevan critical plane concept, which can be applied to both brittle and ductile materials. Next, new model development based on the Liu-Mahadevan critical plane concept for random loading is presented. The key concept is to use two-steps to identify the critical plane: identify the maximum damage plane due to normal stress and calculate the critical plane orientation with respect to the maximum damage plane due to normal stress. Multiaxial rain-flow cycle counting method with mean stress correction is used to estimate the damage on the critical plane. Equivalent stress transformation is proposed to convert the multiaxial random load spectrum to an equivalent constant amplitude spectrum. The equivalent stress is used for fatigue life prediction. Following this, experimental design and testing is performed for Al 7075-T6 under various different random uniaxial and multiaxial spectrums. The developed model is validated with both literature and in-house testing data. Very good agreement is observed for the investigated material. Finally, conclusion and future work is given based on the proposed study.https://www.matec-conferences.org/articles/matecconf/pdf/2019/49/matecconf_icmff1218_12005.pdf
spellingShingle Wei Haoyang
Chen Jie
Carrion Patricio
Imanian Anahita
Shamsaei Nima
Iyyer Nagaraja
Liu Yongming
Multiaxial high-cycle fatigue modelling for random loading
MATEC Web of Conferences
title Multiaxial high-cycle fatigue modelling for random loading
title_full Multiaxial high-cycle fatigue modelling for random loading
title_fullStr Multiaxial high-cycle fatigue modelling for random loading
title_full_unstemmed Multiaxial high-cycle fatigue modelling for random loading
title_short Multiaxial high-cycle fatigue modelling for random loading
title_sort multiaxial high cycle fatigue modelling for random loading
url https://www.matec-conferences.org/articles/matecconf/pdf/2019/49/matecconf_icmff1218_12005.pdf
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