ISSN2320-2882
Impact Factor9.17
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CrossRefDOI
ESTD2013
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Paper Title
AI-BASED DAMAGE DETECTION IN CIVIL ENGINEERING STRUCTURES
Authors
Mr. Chetankumar Bhailalbhai Patel
Keywords
Structural Health Monitoring (SHM); civil engineering structures; damage detection; artificial intelligence (AI); deep learning; machine learning; computer vision; vibration-based methods; acoustic emission; convolutional neural networks (CNN); one-dimensional CNN (1D-CNN); unmanned aerial vehicles (UAV); wireless sensor networks (WSN); building information modeling (BIM); explainable AI (XAI); domain adaptation.
Abstract
Civil engineering structures such as bridges, buildings, tunnels, and dams form the backbone of modern infrastructure and are expected to operate safely for decades. Extreme events can cause progressive damage that compromises structural integrity. It is therefore important to detect such damage in time to prevent catastrophic failures. Conventional inspection methods are often labor-intensive and subjective. Artificial intelligence (AI) techniques have been increasingly applied for damage detection. Machine learning and deep learning models can be trained to extract features from raw sensor data, and these methods have shown high accuracy in detecting surface-level cracks from ground images. AI, combined with wireless sensor networks, edge computing devices, and building information modeling (BIM) platforms, can enable continuous structural health monitoring. This paper reviews the role of AI in damage detection for civil engineering structures. Key challenges include data scarcity, domain adaptation, environmental variability, and model explainability. To transition AI from laboratory demonstrations to field-ready systems, it is critical to address these challenges. This work aims to provide researchers and practitioners with a clear understanding of AI-driven structural damage detection and its potential for real-world applications.
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IJCRT — journal style
"AI-BASED DAMAGE DETECTION IN CIVIL ENGINEERING STRUCTURES", IJCRT - International Journal of Creative Research Thoughts (www.ijcrt.org), ISSN:2320-2882, Vol.9, Issue 7, page no.h1-h7, July 2021, Available :https://ijcrt.org/papers/IJCRT2107763.pdf
APA — 7th edition
Patel, C. B. (2021). AI-BASED DAMAGE DETECTION IN CIVIL ENGINEERING STRUCTURES. International Journal of Creative Research Thoughts, 9(7), h1-h7. https://ijcrt.org/viewpaperforall.php?paper=IJCRT2107763
MLA — 9th edition
Patel, Chetankumar Bhailalbhai. "AI-BASED DAMAGE DETECTION IN CIVIL ENGINEERING STRUCTURES." International Journal of Creative Research Thoughts, vol. 9, no. 7, 2021, pp. h1-h7, https://ijcrt.org/viewpaperforall.php?paper=IJCRT2107763.
Chicago — 17th, bibliography
Patel, Chetankumar Bhailalbhai. "AI-BASED DAMAGE DETECTION IN CIVIL ENGINEERING STRUCTURES." International Journal of Creative Research Thoughts 9, no. 7 (2021): h1-h7. https://ijcrt.org/viewpaperforall.php?paper=IJCRT2107763.
Harvard — author–date
Patel, C.B. (2021) 'AI-BASED DAMAGE DETECTION IN CIVIL ENGINEERING STRUCTURES', International Journal of Creative Research Thoughts, 9(7), pp. h1-h7. Available at: https://ijcrt.org/viewpaperforall.php?paper=IJCRT2107763
IEEE — numbered reference
C. B. Patel, "AI-BASED DAMAGE DETECTION IN CIVIL ENGINEERING STRUCTURES," IJCRT, vol. 9, no. 7, pp. h1-h7, Jul. 2021.
Vancouver — biomedical
Patel CB. AI-BASED DAMAGE DETECTION IN CIVIL ENGINEERING STRUCTURES. IJCRT. 2021 Jul;9(7):h1-h7.
AMA — 11th edition
Patel CB. AI-BASED DAMAGE DETECTION IN CIVIL ENGINEERING STRUCTURES. IJCRT. 2021;9(7):h1-h7. Accessed at https://ijcrt.org/viewpaperforall.php?paper=IJCRT2107763
BibTeX — Zotero, Mendeley, LaTeX
@article{IJCRT2107763,
author = {Chetankumar Bhailalbhai Patel},
title = {AI-BASED DAMAGE DETECTION IN CIVIL ENGINEERING STRUCTURES},
journal = {International Journal of Creative Research Thoughts},
volume = {9},
number = {7},
pages = {h1-h7},
year = {2021},
month = {July},
issn = {2320-2882},
url = {https://ijcrt.org/viewpaperforall.php?paper=IJCRT2107763}
}
RIS — EndNote, RefWorks
TY - JOUR
AU - Patel, Chetankumar Bhailalbhai
TI - AI-BASED DAMAGE DETECTION IN CIVIL ENGINEERING STRUCTURES
T2 - International Journal of Creative Research Thoughts
JA - IJCRT
VL - 9
IS - 7
PY - 2021
SN - 2320-2882
UR - https://ijcrt.org/viewpaperforall.php?paper=IJCRT2107763
SP - h1-h7
ER -
Issue
Volume 9 Issue 7,
July-2021
Pages : h1-h7
Article Information
- Pages
- h1-h7
- Published
- July 2021
- Registration ID
- IJCRT_296472
- Published Paper ID
- IJCRT2107763
- Research Area
- Science and Technology
- Author Type
- Indian Author
- Location
- India
- Peer Review
- Request Peer Review Report
- Licence
- CC BY 4.0 · Open Access
- ISSN & Impact Factor
- 2320-2882 · IF 9.17
- Downloads
- 517
- Permanent Link
- https://ijcrt.org/viewpaperforall.php?paper=IJCRT2107763
- Published Paper PDF
- https://ijcrt.org/papers/IJCRT2107763.pdf
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International Journal of Creative Research Thoughts
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2320-2882
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