Modeling of temperature deformations on the Dnister HPP dam (Ukraine)
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Kornyliy Tretyak
,
Oksana Serant
and
Yurii Bisovetskyi
Abstract
The extended operation of Ukrainian hydroelectric power plants has caused spatial deformations and aging of hydrostructures. This can lead to man-made disasters, especially after explosions resulting from missile attacks. As a result, various defects can appear in the concrete structures of the dam. Continuous structural monitoring of hydropower plants is essential to prevent man-made accidents. The research paper also demonstrates that changes in water temperature can affect the dam’s vertical and horizontal displacements. A model was developed and analysed to determine the spatial deformations of the Dnister HPP based on water temperature and distance from the dam’s edge. It was determined that horizontal displacement rates range from −2.2 to 2.7 mm/month, and vertical displacement rates range from −2 to 1.3 mm/month. They are also seasonal in nature. The studies conducted enable the prediction and identification of seasonal spatial deformations of the Dnister HPP dam. The research also helps to find their variations due to water temperature at the definite depth. If the temperature deformation model deviates from the measurement results, the structure in those areas should be more thoroughly inspected and analysed. This may indicate the structure’s weakening due to natural aging processes or construction-related deficiencies. Deformations in the dam’s structure can lead to cracks, compromising its stability and watertightness. Dams can vary in shape, design features, depth, volume, and water temperature. So, it is important to customize the displacement model for each dam. Any deviation from the specified model may suggest defects due to abnormal temperature distribution and spatial displacements.
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Research ethics: Not applicable.
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Author contributions: The authors have accepted responsibility for the entire content of this manuscript and approved its submission.
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Use of Large Language Models, AI and Machine Learning Tools: None declared.
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Conflict of interests: The authors state no conflict of interest.
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Research funding: None declared.
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Data availability: Not applicable.
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© 2024 Walter de Gruyter GmbH, Berlin/Boston
Articles in the same Issue
- Frontmatter
- Original Research Articles
- Locally robust Msplit estimation
- Extending geodetic networks for geo-monitoring by supervised point cloud matching
- Evaluation and homogenization of a marine gravity database from shipborne and satellite altimetry-derived gravity data over the coastal region of Nigeria
- Modelling geoid height errors for local areas based on data of global models
- Unmanned aerial vehicle-based aerial survey of mines in Shanxi Province based on image data
- Ionospheric TEC and its irregularities over Egypt: a comprehensive study of spatial and temporal variations using GOCE satellite data
- Monitoring of volcanic precursors using satellite data: the case of Taftan volcano in Iran
- Modeling of temperature deformations on the Dnister HPP dam (Ukraine)
- Impact of temporal resolution in global ionospheric models on satellite positioning during low and high solar activity years of solar cycle 24
- Comparative performance of PPP software packages in atmospheric delay estimation using GNSS data
- Assessment and fitting of high/ultra resolution global geopotential models using GNSS/levelling over Egypt
- An efficient ‘P1’ algorithm for dual mixed-integer least-squares problems with scalar real-valued parameters
- Spatio-temporal trajectory alignment for trajectory evaluation
- Monitoring of networked RTK reference stations for coordinate reference system realization and maintenance – case study of the Czech Republic
- Crustal deformation in East of Cairo, Egypt, induced by rapid urbanization, as seen from remote sensing and GNSS data
Articles in the same Issue
- Frontmatter
- Original Research Articles
- Locally robust Msplit estimation
- Extending geodetic networks for geo-monitoring by supervised point cloud matching
- Evaluation and homogenization of a marine gravity database from shipborne and satellite altimetry-derived gravity data over the coastal region of Nigeria
- Modelling geoid height errors for local areas based on data of global models
- Unmanned aerial vehicle-based aerial survey of mines in Shanxi Province based on image data
- Ionospheric TEC and its irregularities over Egypt: a comprehensive study of spatial and temporal variations using GOCE satellite data
- Monitoring of volcanic precursors using satellite data: the case of Taftan volcano in Iran
- Modeling of temperature deformations on the Dnister HPP dam (Ukraine)
- Impact of temporal resolution in global ionospheric models on satellite positioning during low and high solar activity years of solar cycle 24
- Comparative performance of PPP software packages in atmospheric delay estimation using GNSS data
- Assessment and fitting of high/ultra resolution global geopotential models using GNSS/levelling over Egypt
- An efficient ‘P1’ algorithm for dual mixed-integer least-squares problems with scalar real-valued parameters
- Spatio-temporal trajectory alignment for trajectory evaluation
- Monitoring of networked RTK reference stations for coordinate reference system realization and maintenance – case study of the Czech Republic
- Crustal deformation in East of Cairo, Egypt, induced by rapid urbanization, as seen from remote sensing and GNSS data
