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...

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Autores principales:	Ajitanshu Vedrtnam, Santosh Kumar, Gonzalo Barluenga, Shashikant Chaturvedi
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/e9c81575b6e4435f85da9ccb408060c9
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spelling	oai:doaj.org-article:e9c81575b6e4435f85da9ccb408060c92021-12-02T18:37:12ZEarly crack detection using modified spectral clustering method assisted with FE analysis for distress anticipation in cement-based composites10.1038/s41598-021-99010-82045-2322https://doaj.org/article/e9c81575b6e4435f85da9ccb408060c92021-10-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-99010-8https://doaj.org/toc/2045-2322Abstract 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.Ajitanshu VedrtnamSantosh KumarGonzalo BarluengaShashikant ChaturvediNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-19 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q 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
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.
format	article
author	Ajitanshu Vedrtnam Santosh Kumar Gonzalo Barluenga Shashikant Chaturvedi
author_facet	Ajitanshu Vedrtnam Santosh Kumar Gonzalo Barluenga Shashikant Chaturvedi
author_sort	Ajitanshu Vedrtnam
title	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_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_sort	early crack detection using modified spectral clustering method assisted with fe analysis for distress anticipation in cement-based composites
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/e9c81575b6e4435f85da9ccb408060c9
work_keys_str_mv	AT ajitanshuvedrtnam earlycrackdetectionusingmodifiedspectralclusteringmethodassistedwithfeanalysisfordistressanticipationincementbasedcomposites AT santoshkumar earlycrackdetectionusingmodifiedspectralclusteringmethodassistedwithfeanalysisfordistressanticipationincementbasedcomposites AT gonzalobarluenga earlycrackdetectionusingmodifiedspectralclusteringmethodassistedwithfeanalysisfordistressanticipationincementbasedcomposites AT shashikantchaturvedi earlycrackdetectionusingmodifiedspectralclusteringmethodassistedwithfeanalysisfordistressanticipationincementbasedcomposites
_version_	1718377834966155264

Early crack detection using modified spectral clustering method assisted with FE analysis for distress anticipation in cement-based composites

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