Rujun Li, Wei Zhang, Davide Salvatore Paolino, Andrea Tridello, Filippo Berto, Yan Peng
{"title":"CALC−ΔK th:具有光学暗区的VHCF断裂面应力强度因子阈值的自动评估","authors":"Rujun Li, Wei Zhang, Davide Salvatore Paolino, Andrea Tridello, Filippo Berto, Yan Peng","doi":"10.1111/ffe.14701","DOIUrl":null,"url":null,"abstract":"<div>\n \n <p>\n <span></span><math>\n <mtext>CALC</mtext>\n <mo>−</mo>\n <msub>\n <mi>ΔK</mi>\n <mi>th</mi>\n </msub></math> is a assessing the stress intensity factor (SIF) threshold of materials from specimens failed in the very-high-cycle fatigue (VHCF) region and showing the typical fish-eye morphology. The developed process involves two key parameters: the size of the optically dark area (ODA), which is a typical feature region on the fracture surface of specimens failing in the VHCF life region from internal defects, and the stress amplitude at the crack initiation site. Based on the optical image of the fracture surface input from the user side, the automatic detection of the ODA feature is obtained with a deep learning method. Thereafter, the analytical stress distribution in the specimen is assessed, thus allowing to compute the critical SIF threshold for the investigated specimen. This package requires minimal scanning prerequisites on specimens, featuring notable advantages in modularity, automation, and practical usability.</p>\n </div>","PeriodicalId":12298,"journal":{"name":"Fatigue & Fracture of Engineering Materials & Structures","volume":"48 9","pages":"4071-4083"},"PeriodicalIF":3.2000,"publicationDate":"2025-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"CALC\\n −\\n \\n ΔK\\n th\\n : Automatic Assessment of the Stress Intensity Factor Threshold From VHCF Fracture Surfaces With Optically Dark Area\",\"authors\":\"Rujun Li, Wei Zhang, Davide Salvatore Paolino, Andrea Tridello, Filippo Berto, Yan Peng\",\"doi\":\"10.1111/ffe.14701\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n <p>\\n <span></span><math>\\n <mtext>CALC</mtext>\\n <mo>−</mo>\\n <msub>\\n <mi>ΔK</mi>\\n <mi>th</mi>\\n </msub></math> is a assessing the stress intensity factor (SIF) threshold of materials from specimens failed in the very-high-cycle fatigue (VHCF) region and showing the typical fish-eye morphology. The developed process involves two key parameters: the size of the optically dark area (ODA), which is a typical feature region on the fracture surface of specimens failing in the VHCF life region from internal defects, and the stress amplitude at the crack initiation site. Based on the optical image of the fracture surface input from the user side, the automatic detection of the ODA feature is obtained with a deep learning method. Thereafter, the analytical stress distribution in the specimen is assessed, thus allowing to compute the critical SIF threshold for the investigated specimen. This package requires minimal scanning prerequisites on specimens, featuring notable advantages in modularity, automation, and practical usability.</p>\\n </div>\",\"PeriodicalId\":12298,\"journal\":{\"name\":\"Fatigue & Fracture of Engineering Materials & Structures\",\"volume\":\"48 9\",\"pages\":\"4071-4083\"},\"PeriodicalIF\":3.2000,\"publicationDate\":\"2025-06-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Fatigue & Fracture of Engineering Materials & Structures\",\"FirstCategoryId\":\"88\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1111/ffe.14701\",\"RegionNum\":2,\"RegionCategory\":\"材料科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENGINEERING, MECHANICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Fatigue & Fracture of Engineering Materials & Structures","FirstCategoryId":"88","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/ffe.14701","RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, MECHANICAL","Score":null,"Total":0}
CALC
−
ΔK
th
: Automatic Assessment of the Stress Intensity Factor Threshold From VHCF Fracture Surfaces With Optically Dark Area
is a assessing the stress intensity factor (SIF) threshold of materials from specimens failed in the very-high-cycle fatigue (VHCF) region and showing the typical fish-eye morphology. The developed process involves two key parameters: the size of the optically dark area (ODA), which is a typical feature region on the fracture surface of specimens failing in the VHCF life region from internal defects, and the stress amplitude at the crack initiation site. Based on the optical image of the fracture surface input from the user side, the automatic detection of the ODA feature is obtained with a deep learning method. Thereafter, the analytical stress distribution in the specimen is assessed, thus allowing to compute the critical SIF threshold for the investigated specimen. This package requires minimal scanning prerequisites on specimens, featuring notable advantages in modularity, automation, and practical usability.
期刊介绍:
Fatigue & Fracture of Engineering Materials & Structures (FFEMS) encompasses the broad topic of structural integrity which is founded on the mechanics of fatigue and fracture, and is concerned with the reliability and effectiveness of various materials and structural components of any scale or geometry. The editors publish original contributions that will stimulate the intellectual innovation that generates elegant, effective and economic engineering designs. The journal is interdisciplinary and includes papers from scientists and engineers in the fields of materials science, mechanics, physics, chemistry, etc.