Early crack detection using modified spectral clustering method assisted with FE analysis for distress anticipation in cement-based composites
Abstract The present work reports an efficient way of capturing real-time crack propagation in concrete structures. The modified spectral analysis based algorithm and finite element modeling (FEM) were utilised for crack detection and quantitative analysis of crack propagation. Crack propagation was...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2021-10-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-021-99010-8 |
| _version_ | 1828973049555189760 |
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| author | Ajitanshu Vedrtnam Santosh Kumar Gonzalo Barluenga Shashikant Chaturvedi |
| author_facet | Ajitanshu Vedrtnam Santosh Kumar Gonzalo Barluenga Shashikant Chaturvedi |
| author_sort | Ajitanshu Vedrtnam |
| collection | DOAJ |
| description | Abstract The present work reports an efficient way of capturing real-time crack propagation in concrete structures. The modified spectral analysis based algorithm and finite element modeling (FEM) were utilised for crack detection and quantitative analysis of crack propagation. Crack propagation was captured in cement-based composite (CBC) containing saw dust and M20 grade concrete under compressive loading using a simple and inexpensive 8-megapixel mobile phone camera. The randomly selected images showing crack initiation and propagation in CBCs demonstrated the crack capturing capability of developed algorithm. A measure of oriented energy was provided at crack edges to develop a similarity spatial relationship among the pairwise pixels. FE modelling was used for distress anticipation, by analysing stresses during the compressive test in constituents of CBCs. FE modeling jointly with the developed algorithm, can provide real-time inputs from the crack-prone areas and useful in early crack detection of concrete structures for preventive support and management. |
| first_indexed | 2024-12-14T13:39:38Z |
| format | Article |
| id | doaj.art-e9c81575b6e4435f85da9ccb408060c9 |
| institution | Directory Open Access Journal |
| issn | 2045-2322 |
| language | English |
| last_indexed | 2024-12-14T13:39:38Z |
| publishDate | 2021-10-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj.art-e9c81575b6e4435f85da9ccb408060c92022-12-21T22:59:29ZengNature PortfolioScientific Reports2045-23222021-10-0111111910.1038/s41598-021-99010-8Early crack detection using modified spectral clustering method assisted with FE analysis for distress anticipation in cement-based compositesAjitanshu Vedrtnam0Santosh Kumar1Gonzalo Barluenga2Shashikant Chaturvedi3Department of Mechanical Engineering, Invertis UniversityDepartment of Electronics and Communication Engineering, Invertis UniversityDepartamento de Arquitectura, Escuela de Arquitectura -Universidad de AlcaláDepartment of Mechanical Engineering, Invertis UniversityAbstract The present work reports an efficient way of capturing real-time crack propagation in concrete structures. The modified spectral analysis based algorithm and finite element modeling (FEM) were utilised for crack detection and quantitative analysis of crack propagation. Crack propagation was captured in cement-based composite (CBC) containing saw dust and M20 grade concrete under compressive loading using a simple and inexpensive 8-megapixel mobile phone camera. The randomly selected images showing crack initiation and propagation in CBCs demonstrated the crack capturing capability of developed algorithm. A measure of oriented energy was provided at crack edges to develop a similarity spatial relationship among the pairwise pixels. FE modelling was used for distress anticipation, by analysing stresses during the compressive test in constituents of CBCs. FE modeling jointly with the developed algorithm, can provide real-time inputs from the crack-prone areas and useful in early crack detection of concrete structures for preventive support and management.https://doi.org/10.1038/s41598-021-99010-8 |
| spellingShingle | Ajitanshu Vedrtnam Santosh Kumar Gonzalo Barluenga Shashikant Chaturvedi Early crack detection using modified spectral clustering method assisted with FE analysis for distress anticipation in cement-based composites Scientific Reports |
| title | Early crack detection using modified spectral clustering method assisted with FE analysis for distress anticipation in cement-based composites |
| title_full | Early crack detection using modified spectral clustering method assisted with FE analysis for distress anticipation in cement-based composites |
| title_fullStr | Early crack detection using modified spectral clustering method assisted with FE analysis for distress anticipation in cement-based composites |
| title_full_unstemmed | Early crack detection using modified spectral clustering method assisted with FE analysis for distress anticipation in cement-based composites |
| title_short | Early crack detection using modified spectral clustering method assisted with FE analysis for distress anticipation in cement-based composites |
| title_sort | early crack detection using modified spectral clustering method assisted with fe analysis for distress anticipation in cement based composites |
| url | https://doi.org/10.1038/s41598-021-99010-8 |
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