{"title":"逆有限元法在航天结构健康监测中的应用进展","authors":"Ihtisham Khalid , Zahid Ahmed Qureshi , Selda Oterkus , Erkan Oterkus","doi":"10.1016/j.paerosci.2025.101132","DOIUrl":null,"url":null,"abstract":"<div><div>This review critically examines recent progress in the inverse finite element method (iFEM) for aerospace structural health monitoring (SHM), consolidating developments and emerging interdisciplinary applications. It offers novel insights into the latest inverse formulations, supported by benchmark numerical comparisons that aid in selecting suitable formulations for efficient airframe prognosis. Recognizing the importance of full-field sensing in aerospace monitoring systems, this review presents a unified analysis of numerical and experimental validations while accounting for uncertainties inherent in real-world implementations. In addition to the shape-sensing applications of iFEM, this review further examines a comprehensive damage assessment framework, including methods for identifying damage topologies such as material discontinuities and degradation resulting from operational or environmental conditions. Interdisciplinary methodologies integrating iFEM with advanced modeling and data-driven frameworks are reviewed for their efficacy in real-time defect characterization, offering insights into their broader potential for aerospace digital twin (DT) implementations. In addition, this study identifies current limitations in iFEM and outlines future directions to enhance its robustness, scalability, and adaptability for the rapidly evolving aerospace sector. By reviewing emerging trends in iFEM, this article serves as a foundational reference for researchers and practitioners aiming to design efficient and cost-effective aerospace SHM solutions.</div></div>","PeriodicalId":54553,"journal":{"name":"Progress in Aerospace Sciences","volume":"157 ","pages":"Article 101132"},"PeriodicalIF":16.2000,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Progress in inverse finite element method for aerospace structural health monitoring applications\",\"authors\":\"Ihtisham Khalid , Zahid Ahmed Qureshi , Selda Oterkus , Erkan Oterkus\",\"doi\":\"10.1016/j.paerosci.2025.101132\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>This review critically examines recent progress in the inverse finite element method (iFEM) for aerospace structural health monitoring (SHM), consolidating developments and emerging interdisciplinary applications. It offers novel insights into the latest inverse formulations, supported by benchmark numerical comparisons that aid in selecting suitable formulations for efficient airframe prognosis. Recognizing the importance of full-field sensing in aerospace monitoring systems, this review presents a unified analysis of numerical and experimental validations while accounting for uncertainties inherent in real-world implementations. In addition to the shape-sensing applications of iFEM, this review further examines a comprehensive damage assessment framework, including methods for identifying damage topologies such as material discontinuities and degradation resulting from operational or environmental conditions. Interdisciplinary methodologies integrating iFEM with advanced modeling and data-driven frameworks are reviewed for their efficacy in real-time defect characterization, offering insights into their broader potential for aerospace digital twin (DT) implementations. In addition, this study identifies current limitations in iFEM and outlines future directions to enhance its robustness, scalability, and adaptability for the rapidly evolving aerospace sector. By reviewing emerging trends in iFEM, this article serves as a foundational reference for researchers and practitioners aiming to design efficient and cost-effective aerospace SHM solutions.</div></div>\",\"PeriodicalId\":54553,\"journal\":{\"name\":\"Progress in Aerospace Sciences\",\"volume\":\"157 \",\"pages\":\"Article 101132\"},\"PeriodicalIF\":16.2000,\"publicationDate\":\"2025-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Progress in Aerospace Sciences\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0376042125000582\",\"RegionNum\":1,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, AEROSPACE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Progress in Aerospace Sciences","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0376042125000582","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, AEROSPACE","Score":null,"Total":0}
Progress in inverse finite element method for aerospace structural health monitoring applications
This review critically examines recent progress in the inverse finite element method (iFEM) for aerospace structural health monitoring (SHM), consolidating developments and emerging interdisciplinary applications. It offers novel insights into the latest inverse formulations, supported by benchmark numerical comparisons that aid in selecting suitable formulations for efficient airframe prognosis. Recognizing the importance of full-field sensing in aerospace monitoring systems, this review presents a unified analysis of numerical and experimental validations while accounting for uncertainties inherent in real-world implementations. In addition to the shape-sensing applications of iFEM, this review further examines a comprehensive damage assessment framework, including methods for identifying damage topologies such as material discontinuities and degradation resulting from operational or environmental conditions. Interdisciplinary methodologies integrating iFEM with advanced modeling and data-driven frameworks are reviewed for their efficacy in real-time defect characterization, offering insights into their broader potential for aerospace digital twin (DT) implementations. In addition, this study identifies current limitations in iFEM and outlines future directions to enhance its robustness, scalability, and adaptability for the rapidly evolving aerospace sector. By reviewing emerging trends in iFEM, this article serves as a foundational reference for researchers and practitioners aiming to design efficient and cost-effective aerospace SHM solutions.
期刊介绍:
"Progress in Aerospace Sciences" is a prestigious international review journal focusing on research in aerospace sciences and its applications in research organizations, industry, and universities. The journal aims to appeal to a wide range of readers and provide valuable information.
The primary content of the journal consists of specially commissioned review articles. These articles serve to collate the latest advancements in the expansive field of aerospace sciences. Unlike other journals, there are no restrictions on the length of papers. Authors are encouraged to furnish specialist readers with a clear and concise summary of recent work, while also providing enough detail for general aerospace readers to stay updated on developments in fields beyond their own expertise.