Dynamic Data Fusion Analysis Method for Crack Tracking in Reinforced Concrete Based on DIC and AE.
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| Title: | Dynamic Data Fusion Analysis Method for Crack Tracking in Reinforced Concrete Based on DIC and AE. |
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| Authors: | Shang, Dongwei1 (AUTHOR), Wang, Ziping1 (AUTHOR) wzpxx2004@126.com, Zhang, Jiazhen1 (AUTHOR), Xia, Qingwei1 (AUTHOR), Gorgin, Rahim1 (AUTHOR), Trišović, Nataša R.2 (AUTHOR) |
| Source: | Research in Nondestructive Evaluation. May/Jun2025, Vol. 36 Issue 3, p144-158. 15p. |
| Subjects: | Reinforced concrete testing, Concrete construction, Digital image correlation, Concrete beams, Multisensor data fusion |
| Abstract: | Monitoring cracks within concrete structures allows for the assessment of performance and load-bearing capacity changes, enabling early preventative measures to enhance safety and durability. This paper addresses the challenges of using Acoustic Emission (AE) technology alone to monitor full-field strain changes at crack locations by implementing a dynamic data fusion method combining Digital Image Correlation (DIC) and AE technology. This method leverages the non-contact monitoring capabilities of DIC with the energy parameter analysis and circular trajectory localization of AE to achieve data fusion on the same specimen. The method is applied during four-point bending tests on reinforced concrete beams to track crack development at various stages. The results demonstrate significant improvements in the accuracy of concrete crack detection, precise tracking of crack evolution, and detailed data analysis of crack position and size at different stages of development. This provides effective experimental support and a theoretical basis for the health monitoring and safety assurance of reinforced concrete structures. [ABSTRACT FROM AUTHOR] |
| Copyright of Research in Nondestructive Evaluation is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
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| Header | DbId: egs DbLabel: Engineering Source An: 186503070 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Dynamic Data Fusion Analysis Method for Crack Tracking in Reinforced Concrete Based on DIC and AE. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Shang%2C+Dongwei%22">Shang, Dongwei</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wang%2C+Ziping%22">Wang, Ziping</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> wzpxx2004@126.com</i><br /><searchLink fieldCode="AR" term="%22Zhang%2C+Jiazhen%22">Zhang, Jiazhen</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Xia%2C+Qingwei%22">Xia, Qingwei</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Gorgin%2C+Rahim%22">Gorgin, Rahim</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Trišović%2C+Nataša+R%2E%22">Trišović, Nataša R.</searchLink><relatesTo>2</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Research+in+Nondestructive+Evaluation%22">Research in Nondestructive Evaluation</searchLink>. May/Jun2025, Vol. 36 Issue 3, p144-158. 15p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Reinforced+concrete+testing%22">Reinforced concrete testing</searchLink><br /><searchLink fieldCode="DE" term="%22Concrete+construction%22">Concrete construction</searchLink><br /><searchLink fieldCode="DE" term="%22Digital+image+correlation%22">Digital image correlation</searchLink><br /><searchLink fieldCode="DE" term="%22Concrete+beams%22">Concrete beams</searchLink><br /><searchLink fieldCode="DE" term="%22Multisensor+data+fusion%22">Multisensor data fusion</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Monitoring cracks within concrete structures allows for the assessment of performance and load-bearing capacity changes, enabling early preventative measures to enhance safety and durability. This paper addresses the challenges of using Acoustic Emission (AE) technology alone to monitor full-field strain changes at crack locations by implementing a dynamic data fusion method combining Digital Image Correlation (DIC) and AE technology. This method leverages the non-contact monitoring capabilities of DIC with the energy parameter analysis and circular trajectory localization of AE to achieve data fusion on the same specimen. The method is applied during four-point bending tests on reinforced concrete beams to track crack development at various stages. The results demonstrate significant improvements in the accuracy of concrete crack detection, precise tracking of crack evolution, and detailed data analysis of crack position and size at different stages of development. This provides effective experimental support and a theoretical basis for the health monitoring and safety assurance of reinforced concrete structures. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Research in Nondestructive Evaluation is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1080/09349847.2025.2513266 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 15 StartPage: 144 Subjects: – SubjectFull: Reinforced concrete testing Type: general – SubjectFull: Concrete construction Type: general – SubjectFull: Digital image correlation Type: general – SubjectFull: Concrete beams Type: general – SubjectFull: Multisensor data fusion Type: general Titles: – TitleFull: Dynamic Data Fusion Analysis Method for Crack Tracking in Reinforced Concrete Based on DIC and AE. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Shang, Dongwei – PersonEntity: Name: NameFull: Wang, Ziping – PersonEntity: Name: NameFull: Zhang, Jiazhen – PersonEntity: Name: NameFull: Xia, Qingwei – PersonEntity: Name: NameFull: Gorgin, Rahim – PersonEntity: Name: NameFull: Trišović, Nataša R. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Text: May/Jun2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 09349847 Numbering: – Type: volume Value: 36 – Type: issue Value: 3 Titles: – TitleFull: Research in Nondestructive Evaluation Type: main |
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