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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) |
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| Paper Title: | Structural Damage Detection |
| Authors Name: | Suhaan Sheikh S Tonse , Saish Manoj Habbu , Mohammed Shamis Kola , Mohammed Awan , T Shreekumar |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_195290
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| Published Paper Id: | IJNRD2305421 |
| Published In: | Volume 8 Issue 5, May-2023 |
| DOI: | |
| Abstract: | Prominent signs of wear and tear, such as cracks and openings on building wall indicate the wear and tear caused by stress over time, and when these defects occur in critical locations, such as load-bearing joints, they can lead to structural failure or collapse. Manually inspecting cracks can take time, and delays in identifying and repairing these cracks can have a significant impact on the structural integrity of infrastructure. To solve this issue we recommend implementing a crack detection method based on a convolutional neural network (CNN). The algorithm is composed of image processing image segmentation and CNN recognition. In the first part of the algorithm, cracks are easily recognized from the background image applying the Otsu’s thresholding technique and in the second step segmentation of the image is carried using k means clustering and the existence of cracks is recognized using CNN which is used to determine whether cracks are present or not. The outcomes have demonstrated how well the CNN model distinguished between wall cracks and non- cracks, and the accuracy results are graphically visualized. |
| Keywords: | CNN Recognition, Otsu’s Thresholding, Structural Failures, Structural integrity, Image Segmentation. |
| Cite Article: | "Structural Damage Detection", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 5, page no.e220-e227, May-2023, Available :http://www.ijnrd.org/papers/IJNRD2305421.pdf |
| Downloads: | 000118758 |
| ISSN: |
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID:IJNRD2305421 Registration ID: 195290 Published In: Volume 8 Issue 5, May-2023 DOI (Digital Object Identifier): Page No: e220-e227 Country: Dakshina Kannada, Karnataka, India Research Area: Computer Engineering Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2305421 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2305421 |
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
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