0
Article ? AI-assigned paper type based on the abstract. Classification may not be perfect — flag errors using the feedback button. Tier 2 ? Original research — experimental, observational, or case-control study. Direct primary evidence. Environmental Sources Sign in to save

Continuum approach to fatigue life prediction based on defect size

Trepo - Institutional Repository of Tampere University 2025 Score: 38 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Juho Kuupakko

Summary

Researchers developed a continuum-based fatigue life prediction model that incorporates defect size as a key parameter, addressing limitations of conventional cycle-counting methods that assume constant amplitude loading and are insufficient for multiaxial fatigue scenarios.

Fatigue analysis is essential in the design of machine components because fatigue is one of the biggest problems in component failure. Many models have been developed for this problem, for example, cycle counting methods and continuum-based models. However, most fatigue models are based on the assumption of constant amplitude loading. This assumption is not always sufficient to describe the multiaxial loadings that commonly occur in machine components. In this thesis, we use a continuum model. The aim of this thesis was to investigate how we take small defects into account in a continuum-based high cycle fatigue model. This fatigue model was developed by Ottosen, Stenström and Ristinmaa in 2008. Continuum high cycle fatigue is based on a stress space endurance surface and the accumulation of damage is described by an evolution equation. We made changes to the original endurance function to better fit the experimen tal data for a material containing small defects. Murakami-Endo equation was used to consider the effect of small defects on the endurance surface. This introduced the property that the fatigue strength decreases with the growth of the damage. This reduction in the endurance surface also makes the damage growth nonlinear. Including the Lode angle in the fatigue model introduced other properties. It allows us to redefine the fatigue limit ratio and better fit the experimental data. We mainly used steels S35C and S45C with different initial defect lengths as materials in the tests. This is because they provided the most experimental data and quite a lot of research. We performed a few tests on the model to see that it predicts approximately correctly. The tests included uniaxial, pure shear and multiaxial loading cases. We can state that the model is able to describe several fatigue cases well.

Sign in to start a discussion.

More Papers Like This

Article Tier 2

Determination of energy dissipation during cyclic loading and its use to predict fatigue life of metal alloys

This paper is not about microplastics — it develops a mathematical method for predicting the fatigue life of metal alloys from energy dissipation during cyclic loading.

Article Tier 2

Microstructure-Specific Lifetime Prediction Method for Heavy-Section Castings Based on Non-Destructive Measurements During Fatigue Testing

Researchers developed a microstructure-specific lifetime prediction method for heavy-section ductile cast iron components using non-destructive measurements during fatigue testing, addressing the challenge that local microstructural variations in large castings significantly influence fatigue strength. The approach offers a more practical alternative to conventional specimen-based S-N curve determination for components such as wind turbine main shafts and planet carriers.

Article Tier 2

A damage-based uniaxial fatigue life prediction method for metallic materials

Researchers developed a faster method for determining how long metal components will last under repeated stress by tracking tiny changes in material stiffness as damage accumulates, rather than running tests until failure. The method was validated across ten different metals including steel, aluminum, and titanium, consistently matching results from standard but much more time-consuming tests.

Article Tier 2

Research Progress on Fatigue Behavior and Life Prediction under Multiaxial Loading for Metals

This Chinese-language review summarizes research on fatigue damage and life prediction of metal structures under complex, multi-directional loading conditions. The research is focused on structural engineering and has no direct relevance to microplastic pollution.

Review Tier 2

A Review of Damage, Void Evolution, and Fatigue Life Prediction Models

This engineering review summarizes models for predicting how damage, voids, and fatigue cause materials such as metals and composites to fail over time. This materials science paper is not related to microplastic environmental contamination.

Share this paper