Temperature Conditions in the First Column of the Sayano-Shushenskaya HPP Dam from Field Observation Data

Aleksandrov, Yu. N.

doi:10.1007/s10749-016-0673-z

Cited by 2 publications

(1 citation statement)

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“…Assessment of the current stress-strain state of the structure and its prediction plays a significant role in multiple measures aimed at ensuring the safety of hydrotechnical structures. The authors of [4,[7][8][9][10][11] have made a considerable contribution to the development of this type of mathematical models.…”

Section: Introductionmentioning

confidence: 99%

Mathematical Modelling of Sayano-Shushenskaya Dam Displacement Process after 2009 Accident

Хорошилов¹

2018

JERA

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The research presented in the article is of cutting-edge importance because it proves the necessity to develop prognostic mathematical models with the view to studying the behavior of high-head dams for identifying the regularities of their deformations development process and thus providing quantitative definition for the set criteria values of the diagnostic indices to ensure safe operation of such structures. The paper focuses on the peculiarities of building prognostic mathematical models of the dynamic type on the basis of recurrent equations of the 1stand 2ndorders of different types depending on the order of the mathematical model, number of the principal acting factors and discreteness of the input data, with decorrelation of the input actions and sequence of transport delay introduction. It is shown that the properties of the recurrent equation solution in the form of two first conditional moment generating functions of the displacement process of the observed points in the structure delineate a prognostic model which allows predicting the displacements of the observed points. The paper describes the sequence of estimation stages during the creation of prognostic mathematical models in respect to the character of the predictive problem for various time periods of the structure operation. Different combinations of input actions and discreteness of input data, as well as their decorrelation, have been used. We also applied transport delay in order to correctly consider the inertial delay of the dam under different loads. To account for the residual part of the inertial delay, which is affected by random and unaccounted for factors, we used the autoregression model of the process development regularity. To determine the order of the autoregression model, we calculated asymptotically unbiased ratings of the correlation function for the residual error as a difference between the actual and predicted displacements. Methodological specifics of constructing prognostic models have been established in the context of the factors above. Prognostic mathematical models of different types have been developed for the selected period of the dam operation and the results of prediction have been discussed.

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Section: Introductionmentioning

confidence: 99%

Mathematical Modelling of Sayano-Shushenskaya Dam Displacement Process after 2009 Accident

Хорошилов¹

2018

JERA

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Feasibility Study of Temperature Control Measures during the Construction of Large-Volume Concrete Gravity Dams in Cold Regions: A Case Study

Lv,

Yu,

et al. 2024

Water

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Effective temperature control measures are crucial for achieving temperature regulation and preventing cracking in the dam body during the construction of large-volume concrete gravity dams. Due to the low ambient temperatures in winter, it is especially important to focus on temperature control measures for concrete dam construction in cold regions. This paper employs a numerical simulation method that takes into account dam temperature control measures to simulate and predict the overall temperature and stress fields of the Guanmenzuizi Reservoir Dam, and validates these simulations with field monitoring results. This study finds that the ambient temperature significantly impacts the temperature and stress of the dam body’s concrete. The internal temperature of the dam reaches its highest value approximately 7 days after pouring, followed by periodic fluctuations, with the dam body’s temperature changes exhibiting a certain lag compared to the ambient temperature. The interior of the dam is under compression, while the upstream and downstream surfaces experience significant tensile stress. This project adopts targeted temperature control measures for the cold environmental conditions of the region, which are reasonably implemented and effectively reduce the temperature rise of the concrete during construction, achieving the temperature control objectives. This study also explores the impact of the cooling water pipe density on the dam body. The research results offer valuable references for the implementation of temperature control measures and the establishment of temperature control standards for concrete gravity dams in cold regions.

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Temperature Conditions in the First Column of the Sayano-Shushenskaya HPP Dam from Field Observation Data

Cited by 2 publications

References 1 publication

Mathematical Modelling of Sayano-Shushenskaya Dam Displacement Process after 2009 Accident

Mathematical Modelling of Sayano-Shushenskaya Dam Displacement Process after 2009 Accident

Feasibility Study of Temperature Control Measures during the Construction of Large-Volume Concrete Gravity Dams in Cold Regions: A Case Study

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