{"title":"考虑裂纹能量密度作为疲劳预测因子的橡胶寿命估算有限元及概率分析","authors":"Salma Belkhiria, Raoudha Seddik, Adel Hamdi, Raouf Fathallah","doi":"10.1177/09673911231202377","DOIUrl":null,"url":null,"abstract":"This article suggests an engineering design for developing the probabilistic Wöhler diagram of rubber parts. The presented methodology includes multiaxial fatigue study as well as probabilistic fatigue calculation based on Wöhler diagrams. This approach is basically built on the Cracking Energy Density (CED) criterion. This is achieved by combining sophisticated Finite Element Analysis (FEA) with Monte Carlo simulation (MCS). To this end, a 3D-FEA numerical model is produced for several loading cases by means of the commercial software ABAQUS.","PeriodicalId":20322,"journal":{"name":"Polymers & Polymer Composites","volume":null,"pages":null},"PeriodicalIF":2.1000,"publicationDate":"2023-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"FE and probabilistic analysis for rubber life estimation considering cracking energy density as a fatigue predictor\",\"authors\":\"Salma Belkhiria, Raoudha Seddik, Adel Hamdi, Raouf Fathallah\",\"doi\":\"10.1177/09673911231202377\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This article suggests an engineering design for developing the probabilistic Wöhler diagram of rubber parts. The presented methodology includes multiaxial fatigue study as well as probabilistic fatigue calculation based on Wöhler diagrams. This approach is basically built on the Cracking Energy Density (CED) criterion. This is achieved by combining sophisticated Finite Element Analysis (FEA) with Monte Carlo simulation (MCS). To this end, a 3D-FEA numerical model is produced for several loading cases by means of the commercial software ABAQUS.\",\"PeriodicalId\":20322,\"journal\":{\"name\":\"Polymers & Polymer Composites\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.1000,\"publicationDate\":\"2023-10-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Polymers & Polymer Composites\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1177/09673911231202377\",\"RegionNum\":4,\"RegionCategory\":\"材料科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"MATERIALS SCIENCE, CHARACTERIZATION & TESTING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Polymers & Polymer Composites","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/09673911231202377","RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MATERIALS SCIENCE, CHARACTERIZATION & TESTING","Score":null,"Total":0}
FE and probabilistic analysis for rubber life estimation considering cracking energy density as a fatigue predictor
This article suggests an engineering design for developing the probabilistic Wöhler diagram of rubber parts. The presented methodology includes multiaxial fatigue study as well as probabilistic fatigue calculation based on Wöhler diagrams. This approach is basically built on the Cracking Energy Density (CED) criterion. This is achieved by combining sophisticated Finite Element Analysis (FEA) with Monte Carlo simulation (MCS). To this end, a 3D-FEA numerical model is produced for several loading cases by means of the commercial software ABAQUS.
期刊介绍:
Polymers & Polymer Composites provides a forum for the publication of expertly peer reviewed, international research into the following topics:
- Fibre reinforced and particulate filled plastics
- Engineering plastics
- Nanocomposites
- Polymers or polyblends intended for engineering use (including structural, load bearing electronic and electrical applications)
- Fibre reinforced and particulate filled plastics
- Structural adhesives
- Textile & wood fibres
- Biomaterials with a load bearing capacity, (including polymer based dental materials)