{"title":"A fatigue damage prediction model with multi-parameter correlation","authors":"Lu Zhang , Jie Jin","doi":"10.1016/j.matdes.2024.113081","DOIUrl":null,"url":null,"abstract":"<div><p>A fatigue cumulative damage prediction model with multi-parameter correlation, which introduces eight parameters in the action coefficients, including adjacent stresses and their corresponding lifespans (counting to four parameters), previous level of fatigue cumulative damage, <em>S-N</em> logarithmic slope of the material, ultimate stress, and life of the fatigue limit, is proposed in this study. The new model is not a simple nonlinear fitting. It establishes the correlation between multiple parameters and the fatigue damage model. To comprehensively evaluate the proposed model, we conducted numerous experiments to compare the proposed model with a group of baseline models. By analyzing the verification data that compared the statistical value and distribution of the difference between the fatigue prediction damage and test damage of each model, we verified that the fatigue damage prediction effect of the proposed model is the best overall. Additionally, the proposed model preliminarily demonstrated that the evolution of fatigue damage accumulation during multistage stress loading is a complex process with multiple parameters that are highly correlated.</p></div>","PeriodicalId":383,"journal":{"name":"Materials & Design","volume":null,"pages":null},"PeriodicalIF":7.6000,"publicationDate":"2024-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0264127524004556/pdfft?md5=532b5c3bd97cc7c75f95b5535740fc1b&pid=1-s2.0-S0264127524004556-main.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Materials & Design","FirstCategoryId":"88","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0264127524004556","RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATERIALS SCIENCE, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
A fatigue cumulative damage prediction model with multi-parameter correlation, which introduces eight parameters in the action coefficients, including adjacent stresses and their corresponding lifespans (counting to four parameters), previous level of fatigue cumulative damage, S-N logarithmic slope of the material, ultimate stress, and life of the fatigue limit, is proposed in this study. The new model is not a simple nonlinear fitting. It establishes the correlation between multiple parameters and the fatigue damage model. To comprehensively evaluate the proposed model, we conducted numerous experiments to compare the proposed model with a group of baseline models. By analyzing the verification data that compared the statistical value and distribution of the difference between the fatigue prediction damage and test damage of each model, we verified that the fatigue damage prediction effect of the proposed model is the best overall. Additionally, the proposed model preliminarily demonstrated that the evolution of fatigue damage accumulation during multistage stress loading is a complex process with multiple parameters that are highly correlated.
期刊介绍:
Materials and Design is a multi-disciplinary journal that publishes original research reports, review articles, and express communications. The journal focuses on studying the structure and properties of inorganic and organic materials, advancements in synthesis, processing, characterization, and testing, the design of materials and engineering systems, and their applications in technology. It aims to bring together various aspects of materials science, engineering, physics, and chemistry.
The journal explores themes ranging from materials to design and aims to reveal the connections between natural and artificial materials, as well as experiment and modeling. Manuscripts submitted to Materials and Design should contain elements of discovery and surprise, as they often contribute new insights into the architecture and function of matter.