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Warianty tytułu
Języki publikacji
Abstrakty
The paper studies the relationship between the ambient temperature change and the horizontal displacements on control points ofthe Dnieper Hydroelectric Station dam from 2016 to 2020. A specially developed software product analyzed the GNSS time series ofmeasurements pre-processed by the GeoMoS system to determine the parameters of seasonal displacements and theirrelationship with seasonal changes in air temperature. The research established that the influence of ambient temperature in theabsence of significant changes in the water level in the upper reservoir determines the cyclicity of dam deformations. It isestablished that the projections of velocity vectors of reference points in the ETRF-2014 system for the studied period do notexceed the absolute value of 3 mm/month. The directions of the horizontal displacement vectors in the first half of each year areopposite to the directions recorded in the second half. In the first half of the year, the dam’s body shifts towards the reservoir,while in the second half year period, it shifts-backwards. According to the three-year GNSS monitoring of the DnieperHydroelectric Station dam, the amplitude of semi-annual horizontal oscillations of the control points relative to the dam axis isfrom -9.5 to +8 mm. In winter and summer, the horizontal displacements increase from the edges of the dam to its central part,and the amplitudes of the horizontal displacements move vice versa. The obtained data establish a linear analytical relationshipbetween the average temperature and the horizontal displacements of the GNSS control points.
Czasopismo
Rocznik
Tom
Strony
1--10
Opis fizyczny
Bibliogr. 17 poz., rys., tab., wykr.
Twórcy
autor
- Department of Higher Geodesy and Astronomy, Lviv Polytechnic National University, 12, Stepan Bandera Str., Lviv, 79013, Ukraine
autor
- Department of Higher Geodesy and Astronomy, Lviv Polytechnic National University, 12, Stepan Bandera Str., Lviv, 79013, Ukraine
Bibliografia
- [1] (2020). Action plan for adaptation to the effects of climate change in the city of Zaporizhia. The project was approved by the decision of the 50th session of the City Council No. 38 from 3.06.2020. Last accessed January 2022.
- [2] Chrzanowski, A., Szostak, A., and Steeves, R. (2011). Reliability and efficiency of dam deformation monitoring schemes. In Proceedings of the 2011 Annual Conference of Canadian Dam Association (CDA/ACB), Fredericton, NB, Canada, 15 October 2011, volume 15.
- [3] Corsetti, M., Fossati, F., Manunta, M., and Marsella, M. (2018). Advanced SBAS-DInSAR technique for controlling large civil infrastructures: An application to the Genzano di Lucania dam. Sensors, 18(7):2371, doi:10.3390/s18072371.
- [4] Drummond, P. (2010). Combining CORS Networks, Automated Observations and Processing, for Network RTK Integrity Analysis and Deformation Monitoring. In Proceedings of the 15th FIG Congress Facing the Challenges, Sydney, Australia, 11–16 April 2010, pages 11–16.
- [5] Kang, F. and Li, J. (2020). Displacement model for concrete dam safety monitoring via gaussian process regression considering extreme air temperature. Journal of Structural Engineering, 146(1):05019001, doi:10.1061/(ASCE)ST.1943-541X.0002467.
- [6] Kuzmanovic, V., Savic, L., and Mladenovic, N. (2013). Computation of thermal-stresses and contraction joint distance of rcc dams. Journal of Thermal Stresses, 36(2):112–134, doi:10.1080/01495739.2013.764795.
- [7] Léger, P. and Leclerc, M. (2007). Hydrostatic, temperature, time-displacement model for concrete dams. Journal of engineering mechanics, 133(3):267–277, doi:10.1061/(ASCE)0733-9399(2007)133:3(267).
- [8] Mata, J., Tavares de Castro, A., and Sá da Costa, J. (2013). Time-frequency analysis for concrete dam safety control: Correlation between the daily variation of structural response and air temperature. Engineering Structures, 48:658–665, doi:10.1016/j.engstruct.2012.12.013.
- [9] Milillo, P., Bürgmann, R., Lundgren, P., Salzer, J., Perissin, D., Fielding, E., Biondi, F., and Milillo, G. (2016). Space geodetic monitoring of engineered structures: The ongoing destabilization of the mosul dam, iraq. Scientific reports, 6(1):37408, doi:10.1038/srep37408.
- [10] Moroko, V. (2010). Dniproges: Black August 1941. Scientific works of the historical faculty of Zaporizhia National University.
- [11] Oro, S., Mafioleti, T., Chaves Neto, A., Garcia, S., and Neumann, C. (2016). Study of the influence of temperature and water level of the reservoir about the displacement of a concrete dam. International Journal of Applied Mechanics and Engineering, 21(1):107–120, doi:10.1515/ijame-2016-0007.
- [12] Santillán, D., Salete, E., and Toledo, M. (2015). A methodology for the assessment of the effect of climate change on the thermal-strain-stress behaviour of structures. Engineering Structures, 92:123–141, doi:doi.org/10.1016/j.engstruct.2015.03.001.
- [13] Scaioni, M., Marsella, M., Crosetto, M., Tornatore, V., and Wang, J. (2018). Geodetic and remote-sensing sensors for dam deformation monitoring. Sensors, 18(11):3682, doi:10.3390/s18113682.
- [14] Tretyak, K. and Palianytsia, B. (2021). Research of seasonal deformations of the dnipo hpp dam according to gnss measurements. Geodynamics, 30(1):5–16, doi:10.23939/jgd2021.01.005.
- [15] Tretyak, K., Periy, S., Sidorov, I., and Babiy, L. (2015). Complex high accuracy satellite and field measurements of horizontal and vertical displacements of control geodetic network on dniester hydroelectric pumped power station (hpps). Geomatics and environmental engineering, 9(1):83–96, doi:10.7494/geom.2015.9.1.83.
- [16] Yigit, C. O., Alcay, S., and Ceylan, A. (2016). Displacement response of a concrete arch dam to seasonal temperature fluctuations and reservoir level rise during the first filling period: evidence from geodetic data. Geomatics, Natural Hazards and Risk, 7(4):1489–1505, doi:10.1080/19475705.2015.1047902.
- [17] Zhang, Y., Yang, S., Liu, J., Qiu, D., Luo, X., and Fang, J. (2018). Evaluation and analysis of dam operating status using one clock-synchronized dual-antenna receiver. Journal of Sensors, 2018:9135630, doi:10.1155/2018/9135630.10.1155/2018/9135630
Uwagi
PL
Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-a47e5bfa-24b5-45cb-9da6-7546fe8cc927