Structures, volume 44, pages 766-784
Recent advancement of concrete dam health monitoring technology: A systematic literature review
2
Department of Civil and Environmental Engineering, Western University, London, ON, Canada
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Publication type: Journal Article
Publication date: 2022-10-01
Building and Construction
Civil and Structural Engineering
Safety, Risk, Reliability and Quality
Architecture
Abstract
The health monitoring of dams has become a topic of paramount importance to maintain the sustainability and resiliency of our society. The dam health monitoring (DHM) models provide an estimate of dam responses such as crest displacement, concrete stress etc., which can be compared with the actual measurements to draw conclusions about dam safety. This paper reviews various models that have been developed in the past few years for DHM. In this paper, the existing models have been classified into three categories namely, numerical, data-driven, and hybrid models. The numerical models are the most accurate and can be applied even for the first filling of the reservoir where no monitoring data is available. On the other hand, the data-driven model is a good choice in case if a dam has been instrumented and long-term data has been collected. Finally, the hybrid model is most suited if limited monitoring data is available and the mechanism of dam deterioration is partially known. Among these three models, the data driven models have gained significant attention in recent years due to advancements in artificial intelligence and other statistical tools. In this paper, a systematic review of these models has been presented along with a brief mathematical details, and their application to an existing dam. The novelty of the paper is that it covers a broad range of the developed models including their applications, advantages and limitations. In summary, this paper summarizes the existing knowledge in the field of DHM and provides an opportunity to dam owners and practitioners to select the best model that can be implemented for an existing dam.
Citations by journals
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Structures
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Journal of Infrastructure Intelligence and Resilience
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Journal of Infrastructure Intelligence and Resilience
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IEEE Sensors Journal
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IEEE Sensors Journal
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Advances in Civil and Industrial Engineering
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Expert Systems with Applications
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Expert Systems with Applications
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Journal of Building Engineering
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LHB
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LHB
1 publication, 4.35%
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International Journal for Computational Civil and Structural Engineering
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International Journal for Computational Civil and Structural Engineering, 1, 4.35%
International Journal for Computational Civil and Structural Engineering
1 publication, 4.35%
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Journal of Civil Structural Health Monitoring
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Journal of Civil Structural Health Monitoring
1 publication, 4.35%
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Water (Switzerland)
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Water (Switzerland)
1 publication, 4.35%
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1 publication, 4.35%
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1 publication, 4.35%
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Citations by publishers
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Elsevier
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Elsevier
13 publications, 56.52%
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Multidisciplinary Digital Publishing Institute (MDPI)
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Multidisciplinary Digital Publishing Institute (MDPI)
2 publications, 8.7%
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Wiley
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Wiley
1 publication, 4.35%
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SAGE
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SAGE
1 publication, 4.35%
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IEEE
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IEEE
1 publication, 4.35%
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IGI Global
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IGI Global
1 publication, 4.35%
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Hindawi Limited
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Hindawi Limited
1 publication, 4.35%
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Taylor & Francis
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Taylor & Francis
1 publication, 4.35%
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Publishing House ASV
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Publishing House ASV, 1, 4.35%
Publishing House ASV
1 publication, 4.35%
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Springer Nature
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Springer Nature
1 publication, 4.35%
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14
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- We do not take into account publications that without a DOI.
- Statistics recalculated only for publications connected to researchers, organizations and labs registered on the platform.
- Statistics recalculated weekly.
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Prakash M. S. et al. Recent advancement of concrete dam health monitoring technology: A systematic literature review // Structures. 2022. Vol. 44. pp. 766-784.
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Prakash M. S., Dugalam R., Barbosh M., Sadhu A. Recent advancement of concrete dam health monitoring technology: A systematic literature review // Structures. 2022. Vol. 44. pp. 766-784.
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TY - JOUR
DO - 10.1016/j.istruc.2022.08.021
UR - https://doi.org/10.1016%2Fj.istruc.2022.08.021
TI - Recent advancement of concrete dam health monitoring technology: A systematic literature review
T2 - Structures
AU - Prakash, M. Shet
AU - Dugalam, Revanth
AU - Barbosh, Mohamed
AU - Sadhu, Ayan
PY - 2022
DA - 2022/10/01 00:00:00
PB - Elsevier
SP - 766-784
VL - 44
SN - 2352-0124
ER -
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@article{2022_Prakash,
author = {M. Shet Prakash and Revanth Dugalam and Mohamed Barbosh and Ayan Sadhu},
title = {Recent advancement of concrete dam health monitoring technology: A systematic literature review},
journal = {Structures},
year = {2022},
volume = {44},
publisher = {Elsevier},
month = {oct},
url = {https://doi.org/10.1016%2Fj.istruc.2022.08.021},
pages = {766--784},
doi = {10.1016/j.istruc.2022.08.021}
}