Ravikant Nanwatkar, Vishwajeet Jangam, Prajyot Devkar, Shreyan Borawake, Hari Kulkarni | International Journal of Structural Mechanics and Finite Elements | Vol 11, Issue 01 | pp. 14-26 | ISSN: 2582-5054
Abstract
AbstractThe maintenance of dam walls is critical to ensure structural integrity, safety, and efficient water management. Cracks and other structural deficiencies can lead to severe consequences if left undetected. Traditional inspection methods are labor-intensive, time-consuming, and often hazardous, necessitating the development of autonomous systems for effective monitoring. This study focuses on the design and implementation of autonomous robots equipped for crack detection in dam walls, with an emphasis on vision-based algorithms and structural health monitoring techniques. The robots are equipped with advanced cameras and sensors, which utilize machine learning and computer vision algorithms to accurately identify and classify cracks based on size, shape, and propagation. Key challenges addressed in this study include the adaptation of vision algorithms for varied lighting and environmental conditions, as well as the robotβs navigation on complex dam surfaces. The system also incorporates data analytics for predictive maintenance, using real-time data gathered by robots to assess the structural health of dam walls over time. The results demonstrate the effectiveness of autonomous robots in detecting structural anomalies and assessing dam wall integrity, paving the way for safer and more efficient maintenance solutions in civil infrastructure.
Keywords: Dam walls, structural integrity, efficient water management, autonomous monitoring systems, and robots
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1.Zhang L, Liu J. Design and implementation of an autonomous robot for crack detection in concrete structures. Autom Constr. 2021;123:103567. doi:10.1016/j.autcon.2020.103567.
- Xu C, Tang F. Vision-based autonomous robots for structural health monitoring: A review. J Civ Struct Health Monit. 2019;9(5):625β642. doi:10.1007/s13349-019-00353-z.
- Wang L, Li H. Application of vision-based algorithms in crack detection for autonomous robots. Robot Auton Syst. 2020;133:103β118. doi:10.1016/j.robot.2020.103387.
- Singh P, Gupta V. Structural health monitoring of concrete structures using vision-based autonomous robots. Sensors. 2020;20(10):2878β2892. doi:10.3390/s20102878.
- Choi M, Kim Y. Autonomous crack detection in concrete structures using vision-based algorithms. IEEE Trans Autom Sci Eng. 2021;18(2):421β432. doi:10.1109/TASE.2021.3054561.
- Lee H, Park J. Integration of autonomous robots for structural monitoring: A vision-based approach. J Eng Mech. 2019;145(10):05019001β05019015. doi:10.1061/(ASCE)EM.1943-7889.0001632.
- Zhou Z, Zhang Z. Development of an autonomous inspection robot for concrete crack detection using vision technology. Adv Robot. 2020;34(2):98β111. doi:10.1080/01691864.2020.1753689.
- Bai X, Li Y. A vision-based method for crack detection in concrete structures using autonomous robots. J Civ Eng Manag. 2021;27(1):24β38. doi:10.3846/jcem.2021.13634.
- Xiao L, Zhang Y. Application of UAVs for structural health monitoring of dams. J Eng Geol. 2020;29(2):123β134. doi:10.1016/j.jengeo.2020.02.001.
- Song J, Zhang F. Autonomous robots for crack detection: A survey on vision-based algorithms and techniques. IEEE Access. 2019;7:91315β91327. doi:10.1109/ACCESS.2019.2928467.
- Han M, Suh H. Crack detection in dams using vision-based autonomous robots. IEEE Trans Ind Electron. 2020;67(3):2318β2327. doi:10.1109/TIE.2019.2905572.
- Chen X, Yang R. Robot vision-based crack detection algorithms in concrete dams: Current trends and challenges. Robotics. 2021;10(4):136β148. doi:10.3390/robot10040136.
- Shao W, Ma J. Machine vision for crack detection in concrete structures using autonomous robots. Adv Intell Syst. 2019;2(6):1900082-1900101. doi:10.1002/aisy.201900082.
- Liu Y, Zheng W. Application of vision and AI in autonomous robot-based crack detection for dam structures. J Infrastruct Syst. 2020;26(3):04020028β04020035. doi:10.1061/(ASCE)IS.1943-555X.0000544.
- Gupta R, Sharma R. Autonomous robots in structural health monitoring: Vision-based methods for dam crack detection. Sensors. 2021;21(6):2019β2031. doi:10.3390/s21062019.
- Tan S, Zhang J. Vision-based autonomous robot crack detection for structural health monitoring: Challenges and solutions. J Intell Manuf. 2021;32(2):679β692. doi:10.1007/s10845-020-01586-5.
- Cui S, Wang X. Real-time crack detection in concrete using autonomous robots and vision algorithms. J Comput Civ Eng. 2019;33(3):04019010β04019019. doi:10.1061/(ASCE)CP.1943-5487.0000844.
- Zhang Y, Zheng Z. Autonomous robotics for structural crack detection in concrete dams using deep learning algorithms. Neural Comput Appl. 2020;32:17895β17909. doi:10.1007/s00542-020-05862-w.
- Qian Y, He W. Deep learning-based autonomous robot for crack detection in concrete walls. J Intell Robot Syst. 2020;98(3):687β701. doi:10.1007/s10846-019-01027-w.
- Zhou J, Liu Y. Vision-based crack detection in concrete structures using autonomous robots: A systematic review. Measurement. 2020;162:107829. doi:10.1016/j.measurement.2020.107829.
- Li J, Wang C. Crack detection algorithms for autonomous robots in concrete dams. IEEE Trans Autom Sci Eng. 2021;18(1):125β137. doi:10.1109/TASE.2020.2992234.
- Wu D, Shen Z. Autonomous robots for structural crack detection in concrete: A vision-based approach. J Robot Mechatron. 2020;32(4):893β906. doi:10.20965/jrm.2020.p0893.
- Liu S, Zhang C. Crack detection algorithms in concrete structures for autonomous robots: A vision-based approach. Autom Constr. 2021;121:103444β103458. doi:10.1016/j.autcon.2020.103444.
- Huang L, Zhang S. Structural health monitoring of concrete dams using autonomous robots and vision algorithms. Constr Build Mater. 2020;253:119009β119018. doi:10.1016/j.conbuildmat.2020.119009.
- Xie Z, Li Q. A vision-based autonomous robot for crack detection in concrete dams. J Robot Syst. 2019;36(9):1223β1232. doi:10.1002/rob.21947.
- Zhang F, Liu H. Autonomous robot-assisted crack detection for structural health monitoring in dams. J Comput Civ Eng. 2020;34(4):04020037β04020046. doi:10.1061/(ASCE)CP.1943-5487.0000897.
- Li Y, Zhang X. Crack detection in concrete using autonomous vision-based robots: Algorithms and technologies. J Intell Robot Syst. 2021;101(2):225β238. doi:10.1007/s10846-020-01204-4.
- Fang M, Liu P. Implementation of autonomous robots for vision-based crack detection in dam structures. J Intell Manuf. 2021;32:1957β1973. doi:10.1007/s10845-021-01671-4.
- Bai Z, Zhang H. Deep learning for crack detection in concrete using autonomous robots. J Eng Mech. 2019;145(8):04019047β04019055. doi:10.1061/(ASCE)EM.1943-7889.0001710.
- Li Z, Xu W. Autonomous robots for dam crack detection: A vision-based system. J Struct Eng. 2020;146(6):04020054β04020061. doi:10.1061/(ASCE)ST.1943-541X.0002639.
How to cite this article
@article{NanwatkarR2025,
author = {Ravikant Nanwatkar and Vishwajeet Jangam and Prajyot Devkar and Shreyan Borawake and Hari Kulkarni},
title = {Design and Implementation of Autonomous Robots for Crack Detection in Dam Walls: Analyzing Vision-Based Algorithms and Structural Health Monitoring},
journal = {International Journal of Structural Mechanics and Finite Elements},
year = {2025},
volume = {11},
number = {01},
pages = {14--26},
issn = {2582-5054},
url = {https://journalspub.com/publication/ijsmfe/article=16426}
}