Advancements in stress-based multiaxial fatigue prediction: A data-driven approach and a new criterion

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21220%2F24%3A00374492" target="_blank" >RIV/68407700:21220/24:00374492 - isvavai.cz</a>

Výsledek na webu

<a href="https://doi.org/10.1111/ffe.14281" target="_blank" >https://doi.org/10.1111/ffe.14281</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1111/ffe.14281" target="_blank" >10.1111/ffe.14281</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Advancements in stress-based multiaxial fatigue prediction: A data-driven approach and a new criterion

Popis výsledku v původním jazyce

A highly accurate iteration of the Liu & Zenner multiaxial fatigue criterion is presented and validated against the FatLim dataset. The proposed criterion modifies the mean stress parameters of the original criterion while keeping the amplitude parameters unchanged. The investigation of the best-performing stress amplitude parameters revealed that existing multiaxial fatigue criteria that rely on dimensional weight parameters exhibit a notable prediction bias. This bias leads to inaccurate fatigue assessments. The paper sheds light on the extent of this bias and its implications for common engineering practices. By introducing the refined criterion, the study addresses these limitations and provides a more reliable framework for multiaxial fatigue analysis. The comprehensive validation against the FatLim dataset demonstrates the superiority of the proposed criterion in accurately predicting fatigue behavior under diverse loading conditions. The findings underscore the significance of considering both amplitude and mean stress parameters in multiaxial fatigue criteria, offering valuable insights for enhancing the accuracy of fatigue assessments in engineering applications.

Název v anglickém jazyce

Advancements in stress-based multiaxial fatigue prediction: A data-driven approach and a new criterion

Popis výsledku anglicky

A highly accurate iteration of the Liu & Zenner multiaxial fatigue criterion is presented and validated against the FatLim dataset. The proposed criterion modifies the mean stress parameters of the original criterion while keeping the amplitude parameters unchanged. The investigation of the best-performing stress amplitude parameters revealed that existing multiaxial fatigue criteria that rely on dimensional weight parameters exhibit a notable prediction bias. This bias leads to inaccurate fatigue assessments. The paper sheds light on the extent of this bias and its implications for common engineering practices. By introducing the refined criterion, the study addresses these limitations and provides a more reliable framework for multiaxial fatigue analysis. The comprehensive validation against the FatLim dataset demonstrates the superiority of the proposed criterion in accurately predicting fatigue behavior under diverse loading conditions. The findings underscore the significance of considering both amplitude and mean stress parameters in multiaxial fatigue criteria, offering valuable insights for enhancing the accuracy of fatigue assessments in engineering applications.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

20302 - Applied mechanics

Projekt

<a href="/cs/project/GF23-06130K" target="_blank" >GF23-06130K: Procedura pro odhad únavy v kontaktech: Lokální multiaxiální analýza napěťových a tribologických vlivů</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2024

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Fatigue & Fracture of Engineering Materials & Structures

ISSN

8756-758X

e-ISSN

1460-2695

Svazek periodika

47

Číslo periodika v rámci svazku

6

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

17

Strana od-do

2139-2155

Kód UT WoS článku

001196044500001

EID výsledku v databázi Scopus

2-s2.0-85189899263