Smart Crack Detection System Using Nanostructured Materials with Integrated Optimization Technology

Authors Abhijeet Rajendra Pabale1, Rushikesh Vilas Kolhe1, P. William2 , , Neeta Deshpande3, Deepak Narayan Paithankar1, Prashant Madhukar Yawalkar4
Affiliations

1Department of Civil Engineering, Sanjivani College of Engineering, SPPU, Pune, India

2Department of Information Technology, Sanjivani College of Engineering, SPPU, Pune, India

3Department of Computer Engineering, R. H. Sapat College of Engineering, Management Studies and Research, SPPU, Pune, India

4Department of Computer Science and Engineering, MET’s Institute of Engineering, SPPU, Nashik, India

Е-mail william160891@gmail.com
Issue Volume 15, Year 2023, Number 4
Dates Received 01 April 2023; revised manuscript received 15 August 2023; published online 30 August 2023
Citation Abhijeet Rajendra Pabale, Rushikesh Vilas Kolhe, P. William, et al., J. Nano- Electron. Phys. 15 No 4, 04019 (2023)
DOI https://doi.org/10.21272/jnep.15(4).04019
PACS Number(s) 07.07.Df, 78.20.hc
Keywords Crack detection method, Ultra-sonic sensors, Nanostructures (8) , Adaptive Krill Herd Optimization Algorithm AKHOA.
Annotation

Internal crack detection with ultra-sonic sensors in concrete has been suggested as a technique for automatically detecting these types of cracks. In this study, we presented a novel strategy for the design of an ultra-sonic sensor-based crack-detecting technique using nanostructured materials. These ultra-sonic sensors based on nanostructure materials can identify cracks in constructions that are not visible to the human eye, sending an SMS alarm to authorities and identifying the exact location of the cracks utilizing designed GPS and GSM devices. Ultra-sonic sensors can be placed at the interior of concrete cubes to detect interior cracks. We suggested an Adaptive Krill Herd Optimization Algorithm (AKHOA) is then used to process data. We included an optimization algorithm into our novel strategy based on nanostructures, and the results of the experiments reveal that it outperforms the state-of-the-art alternatives. It is clear that this smart system with nanotechnology is highly efficient and may reduce the number of accidents that occur during catastrophes by spreading information via smartphone and buzzing sounds.

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