{"title":"基于临界距离的钢桥基底材料缺口概率疲劳分析（考虑尺寸效应","authors":"Chuanxi Li , Bohai Ji , Yue Yao","doi":"10.1016/j.conbuildmat.2024.139130","DOIUrl":null,"url":null,"abstract":"<div><div>Notch fatigue significantly challenges the structural integrity of notched components in engineering. This study improved traditional theory of critical distance (TCD) by refining its effective stress formula and critical distance model, while also incorporating Weibull distribution to develop probabilistic fatigue assessment frameworks. Subsequently, the feasibility of these frameworks was validated using fatigue test data from typical notched specimens made of Al2024-T351 and En3B materials. Based on this validation, <em>P-S-N</em> curves for typical notched details in steel bridges were estimated. The results show that the predicted <em>P-S-N</em> curves closely align with fatigue test data and have lower prediction errors than traditional TCD, which verifies the effectiveness of the proposed frameworks in evaluating typical notched details in steel bridges. Additionally, these <em>P-S-N</em> curves offer a potential for assessing the probabilistic fatigue life of similar notched details in steel bridges.</div></div>","PeriodicalId":288,"journal":{"name":"Construction and Building Materials","volume":"455 ","pages":"Article 139130"},"PeriodicalIF":7.4000,"publicationDate":"2024-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Critical distance-based probabilistic fatigue analysis of base-material notches in steel bridges considering size effect\",\"authors\":\"Chuanxi Li , Bohai Ji , Yue Yao\",\"doi\":\"10.1016/j.conbuildmat.2024.139130\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Notch fatigue significantly challenges the structural integrity of notched components in engineering. This study improved traditional theory of critical distance (TCD) by refining its effective stress formula and critical distance model, while also incorporating Weibull distribution to develop probabilistic fatigue assessment frameworks. Subsequently, the feasibility of these frameworks was validated using fatigue test data from typical notched specimens made of Al2024-T351 and En3B materials. Based on this validation, <em>P-S-N</em> curves for typical notched details in steel bridges were estimated. The results show that the predicted <em>P-S-N</em> curves closely align with fatigue test data and have lower prediction errors than traditional TCD, which verifies the effectiveness of the proposed frameworks in evaluating typical notched details in steel bridges. Additionally, these <em>P-S-N</em> curves offer a potential for assessing the probabilistic fatigue life of similar notched details in steel bridges.</div></div>\",\"PeriodicalId\":288,\"journal\":{\"name\":\"Construction and Building Materials\",\"volume\":\"455 \",\"pages\":\"Article 139130\"},\"PeriodicalIF\":7.4000,\"publicationDate\":\"2024-11-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Construction and Building Materials\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0950061824042727\",\"RegionNum\":1,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CONSTRUCTION & BUILDING TECHNOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Construction and Building Materials","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0950061824042727","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CONSTRUCTION & BUILDING TECHNOLOGY","Score":null,"Total":0}
Critical distance-based probabilistic fatigue analysis of base-material notches in steel bridges considering size effect
Notch fatigue significantly challenges the structural integrity of notched components in engineering. This study improved traditional theory of critical distance (TCD) by refining its effective stress formula and critical distance model, while also incorporating Weibull distribution to develop probabilistic fatigue assessment frameworks. Subsequently, the feasibility of these frameworks was validated using fatigue test data from typical notched specimens made of Al2024-T351 and En3B materials. Based on this validation, P-S-N curves for typical notched details in steel bridges were estimated. The results show that the predicted P-S-N curves closely align with fatigue test data and have lower prediction errors than traditional TCD, which verifies the effectiveness of the proposed frameworks in evaluating typical notched details in steel bridges. Additionally, these P-S-N curves offer a potential for assessing the probabilistic fatigue life of similar notched details in steel bridges.
期刊介绍：
Construction and Building Materials offers an international platform for sharing innovative and original research and development in the realm of construction and building materials, along with their practical applications in new projects and repair practices. The journal publishes a diverse array of pioneering research and application papers, detailing laboratory investigations and, to a limited extent, numerical analyses or reports on full-scale projects. Multi-part papers are discouraged.
Additionally, Construction and Building Materials features comprehensive case studies and insightful review articles that contribute to new insights in the field. Our focus is on papers related to construction materials, excluding those on structural engineering, geotechnics, and unbound highway layers. Covered materials and technologies encompass cement, concrete reinforcement, bricks and mortars, additives, corrosion technology, ceramics, timber, steel, polymers, glass fibers, recycled materials, bamboo, rammed earth, non-conventional building materials, bituminous materials, and applications in railway materials.
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