Early crack detection using modified spectral clustering method assisted with FE analysis for distress anticipation in cement-based composites
IdentifiersPermanent link (URI): http://hdl.handle.net/10017/49707
This project has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie Grant Agreement No 754382, GOT ENERGY TALENT.
Scientific Reports, 2021, v. 11, n. 19685
Marie Sklodowska-Curie Grant Agreement No 754382, GOT ENERGY TALENT (European Union's Horizon 2020)
Attribution 4.0 International (CC BY 4.0)
(c) Scientific Reports, 2021
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 used 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 modeling was used for distress anticipation, by analyzing stresses during the compressive test in constituents of CBCs.
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