{"title":"通过表面粗糙度对大型储罐的疲劳寿命进行基于温度的预测","authors":"Hang Yu , Diqing Fan , Xintian Liu , Jiafeng Lai","doi":"10.1016/j.jer.2024.06.004","DOIUrl":null,"url":null,"abstract":"<div><div>Under the complex influence of heavy load and external environment, the damage of the large storage tanks(LSTS)are aggravated. The service life and safety of the LSTS are reduced. In this paper, a fatigue life prediction method is proposed based on the environment temperature, surface roughness and force analysis of LSTS. The IMC model is obtained by improved the Manson-Coffin(MC) model. The model takes into account the influence of environment temperature and surface roughness of the tank. Using 45# steel as material, the accuracy of IMC model is verified by experiments. The effect of foundation settlement on tank bottom under heavy load is analyzed. By combining IMC model with LSTS force analysis, the fatigue life of LSTS is predicted. The results show that the predicted results of IMC are close to the actual life, and more accurate than the predicted results of MC.This approach presents a reliable method for predicting the life of LSTS.</div></div>","PeriodicalId":48803,"journal":{"name":"Journal of Engineering Research","volume":"13 3","pages":"Pages 1883-1891"},"PeriodicalIF":2.2000,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Temperature-based for fatigue life prediction of large storage tanks via surface roughness\",\"authors\":\"Hang Yu , Diqing Fan , Xintian Liu , Jiafeng Lai\",\"doi\":\"10.1016/j.jer.2024.06.004\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Under the complex influence of heavy load and external environment, the damage of the large storage tanks(LSTS)are aggravated. The service life and safety of the LSTS are reduced. In this paper, a fatigue life prediction method is proposed based on the environment temperature, surface roughness and force analysis of LSTS. The IMC model is obtained by improved the Manson-Coffin(MC) model. The model takes into account the influence of environment temperature and surface roughness of the tank. Using 45# steel as material, the accuracy of IMC model is verified by experiments. The effect of foundation settlement on tank bottom under heavy load is analyzed. By combining IMC model with LSTS force analysis, the fatigue life of LSTS is predicted. The results show that the predicted results of IMC are close to the actual life, and more accurate than the predicted results of MC.This approach presents a reliable method for predicting the life of LSTS.</div></div>\",\"PeriodicalId\":48803,\"journal\":{\"name\":\"Journal of Engineering Research\",\"volume\":\"13 3\",\"pages\":\"Pages 1883-1891\"},\"PeriodicalIF\":2.2000,\"publicationDate\":\"2025-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Engineering Research\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2307187724001512\",\"RegionNum\":4,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/6/13 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q3\",\"JCRName\":\"ENGINEERING, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Engineering Research","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2307187724001512","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/6/13 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}
Temperature-based for fatigue life prediction of large storage tanks via surface roughness
Under the complex influence of heavy load and external environment, the damage of the large storage tanks(LSTS)are aggravated. The service life and safety of the LSTS are reduced. In this paper, a fatigue life prediction method is proposed based on the environment temperature, surface roughness and force analysis of LSTS. The IMC model is obtained by improved the Manson-Coffin(MC) model. The model takes into account the influence of environment temperature and surface roughness of the tank. Using 45# steel as material, the accuracy of IMC model is verified by experiments. The effect of foundation settlement on tank bottom under heavy load is analyzed. By combining IMC model with LSTS force analysis, the fatigue life of LSTS is predicted. The results show that the predicted results of IMC are close to the actual life, and more accurate than the predicted results of MC.This approach presents a reliable method for predicting the life of LSTS.
期刊介绍：
Journal of Engineering Research (JER) is a international, peer reviewed journal which publishes full length original research papers, reviews, case studies related to all areas of Engineering such as: Civil, Mechanical, Industrial, Electrical, Computer, Chemical, Petroleum, Aerospace, Architectural, Biomedical, Coastal, Environmental, Marine & Ocean, Metallurgical & Materials, software, Surveying, Systems and Manufacturing Engineering. In particular, JER focuses on innovative approaches and methods that contribute to solving the environmental and manufacturing problems, which exist primarily in the Arabian Gulf region and the Middle East countries. Kuwait University used to publish the Journal "Kuwait Journal of Science and Engineering" (ISSN: 1024-8684), which included Science and Engineering articles since 1974. In 2011 the decision was taken to split KJSE into two independent Journals - "Journal of Engineering Research "(JER) and "Kuwait Journal of Science" (KJS).
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