Application of Artificial Intelligence in Technical Diagnostics of Dams

The integration of artificial intelligence (AI) into civil engineering, particularly in the domain of dam management, is becoming increasingly prominent due to the complexity of analytical mathematical modeling and the limitations of physical models. AI, particularly artificial neural networks, aids in tasks such as predicting horizontal displacements of dam crowns and diagnosing their behavior during operation. This technology offers solutions for design optimization, uncertainty management, and safety analysis in operation, enabling engineers to make informed decisions throughout the lifecycle of hydraulic engineering facilities. While human expertise remains essential, AI will offer new avenues for dynamic modeling based on AI-driven sensor networks, revolutionizing the field of civil engineering.

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Publication Details

Journal
ANNUAL OF Univercity of architecture civil engineering and geodesy
Published
2024-12-31
DOI
https://doi.org/10.71167/uaceg.2024.570405
Primary Topic
Engineering Diagnostics and Reliability
Type
article
Field-Weighted Citation Impact
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article

Application of Artificial Intelligence in Technical Diagnostics of Dams

Maria Mavrova - Guirguinova
ANNUAL OF Univercity of architecture civil engineering and geodesy
Engineering Diagnostics and Reliability
article

Application of Artificial Intelligence in Technical Diagnostics of Dams

Maria Mavrova - Guirguinova
article en

Abstract

The integration of artificial intelligence (AI) into civil engineering, particularly in the domain of dam management, is becoming increasingly prominent due to the complexity of analytical mathematical modeling and the limitations of physical models. AI, particularly artificial neural networks, aids in tasks such as predicting horizontal displacements of dam crowns and diagnosing their behavior during operation. This technology offers solutions for design optimization, uncertainty management, and safety analysis in operation, enabling engineers to make informed decisions throughout the lifecycle of hydraulic engineering facilities. While human expertise remains essential, AI will offer new avenues for dynamic modeling based on AI-driven sensor networks, revolutionizing the field of civil engineering.

ANNUAL OF Univercity of architecture civil engineering and geodesyVol. 57(4)
Openalex Percentile: Top 68%
Engineering Diagnostics and Reliability
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