AI Chat Paper
Note: Please note that the following content is generated by AMiner AI. SciOpen does not take any responsibility related to this content.
{{lang === 'zh_CN' ? '文章概述' : 'Summary'}}
{{lang === 'en_US' ? '中' : 'Eng'}}
Chat more with AI
PDF (7 MB)
Collect
Submit Manuscript AI Chat Paper
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline
Publishing Language: Chinese

Intelligent cooling control of roller-compacted concrete dam during dam gap diversion

Ming LI1Peng LIN1( )Zichang LI2Yuanguang LIU3Rui ZHANG3Xiangyou GAO4
Department of Hydraulic Engineering, Tsinghua University, Beijing 100084, China
Sichuan Energy Internet Research Institute, Tsinghua University, Chengdu 610000, China
Sinohydrd Bureau 11 Co., Ltd., Zhengzhou 450001, China
TSCON(Wuhan) Technology Co., Ltd., Wuhan 430074, China
Show Author Information

Abstract

Objective

Diverting flood via a dam gap or diversion tunnel is an economical and efficient method for the construction of a roller-compacted concrete (RCC) dam during the flood season. However, in the tropical climate of Africa, dam-gap diversion has a great influence on the dam temperature and stress field, which increases the risk of surface cracking.

Methods

This paper analyzes dam temperature and stress evolution characteristics in high-temperature climatic conditions in tropical areas and develops a method for dam-gap intelligent temperature monitoring and feedback control. Relying on the Nyerere hydropower project, which has the largest installed capacity in East Africa, this paper adopts simulation, equipment development, and field application methods. A three-dimensional finite element model of the Nyerere hydroelectric dam during construction was established. The simulation boundary conditions were determined by the measured dam and river water temperatures. The dam gap concrete temperature and stress field were simulated under water pipe cooling conditions lasting for 0, 7, 14, and 21 d after pouring. After water pipe cooling, in the dam's elevation (EL) 77.0—95.0 m area, the temperature of the overwater surface concrete was not affected remarkably, but the internal temperature of the dam was remarkably reduced. The tensile stress on the overwater surface of the dam gap increased rapidly within a few days after the start of dam-gap diversion. The tensile stress continued to increase gradually and reached a peak at the end of the dam gap diversion. Furthermore, the self-developed intelligent temperature control system 2.0 was used to monitor and control dam body temperature throughout the dam-gap diversion period and to dynamically adjust the cooling strategy.

Results

The main findings were as follows: (1) This article revealed the temperature and stress field evolution characteristics of the dam under different water cooling schemes during the dam-gap diversion stage. A large temperature gradient was generated in the area within 3 m of the overwater surface. The maximum surface temperature stress without water cooling measures reached 2.04 MPa, which exceeded the allowable tensile stress. The risk of cracking could be effectively reduced by reducing the internal temperature of the dam. (2) An intelligent temperature control strategy for hot climate conditions was proposed. It is recommended that the EL 77.0—95.0 m area of the dam was water pipe cooled for at least 7 d and that the temperature at 2 m below the water crossing surface was cooled to < 34.0 ℃ before dam-gap diversion. (3) An intelligent cooling control system 2.0 was developed. This system could intelligently regulate the cooling water temperature and flow supply and change the cooling water flow direction at regular intervals. It could effectively improve the concrete cooling effect, reduce the cooling energy consumption, and cool the dam temperature to the target temperature range before dam-gap diversion. The post-flood inspection detected no temperature cracks.

Conclusions

It is indicated that the combination of temperature control simulation and the intelligent cooling control system 2.0 can effectively solve the temperature cracking problem in dam gaps. The study is of great significance for preventing RCC dam gaps from temperature cracks and can be used as a reference point for similar projects.

CLC number: TV52 Document code: A Article ID: 1000-0054(2023)07-1060-08

References

[1]
National Energy Administration. Design code of construction diversion for hydropower engineering: NB/T 35041-2014[S]. Beijing: China Electric Power Press, 2014. (in Chinese)
[2]
International Hydropower Association. 2022 Hydropower status report[R/OL]. (2022-07-05)[2022-10-20]. https://www.hydropower.org/status-report.
[3]
International Energy Agency. Africa energy outlook 2022[R/OL]. (2022-06-01)[2022-10-20]. https://www.iea.org/reports/africa-energy-outlook-2022.
[4]

JIAO Y. 70 years of DAMS in China[M]. Beijing: China Three Gorges Press, 2021. (in Chinese)

[5]

ZHU B F. Temperature stress and temperature control of mass concrete[M]. 2nd ed. Beijing: China Water Power Press, 2012. (in Chinese)

[6]
LV Q. 3-D fem simulation analysis of temperature control about the breach flow of the RCC gravity DAM[D]. Xi'an: Xi'an University of Technology, 2007. (in Chinese)
[7]

LI S H, ZHANG G X, ZHANG X T, et al. Study on temperature control and anti-cracking measure on dam section of flood-discharge gap during construction of high RCC gravity dam[J]. Water Resources and Hydropower Engineering, 2013, 44(7): 56-58, 68. (in Chinese)

[8]

CHEN H J, LIU Z B. Temperature control and thermal-induced stress field analysis of GongGuoQiao RCC dam[J]. Journal of Thermal Analysis and Calorimetry, 2019, 135(4): 2019-2029.

[9]

WANG J J, WANG N, HE Y L, et al. Thermal analysis of the preset flood discharging gap in a roller compacted concrete gravity dam[J]. Hydropower and New Energy, 2016, 30(7): 1-5. (in Chinese)

[10]

SHI T Y, HE Y L, FANG C. Analysis of temperature control of flood discharging gap in RCC dam[J]. Engineering Journal of Wuhan University, 2019, 52(6): 489-496. (in Chinese)

[11]

LIN P, LI Q B, ZHOU S W, et al. Intelligent cooling control method and system for mass concrete[J]. Journal of Hydraulic Engineering, 2013, 44(8): 950-957. (in Chinese)

[12]
LIN P, FAN Q X, WANG Z L, et al. An intelligent cooling control system and method for medium heat transfer: 110006284B[P]. 2020-05-15. (in Chinese)
[13]

LIN P, NING Z Y, LI M, et al. Study on prototype intelligent control test of cooling pipeline for a super-high arch dam[J]. Journal of Hydraulic Engineering, 2021, 52(7): 819-828. (in Chinese)

[14]

NING Z Y, LIN P, PENG H Y, et al. Moving-average calculations for real-time concrete temperature monitoring[J]. Journal of Tsinghua University (Science and Technology), 2021, 61(7): 681-687. (in Chinese)

[15]

FAN Q X, LIN P, WEI P C, et al. Closed-loop control theory of intelligent construction[J]. Journal of Tsinghua University (Science and Technology), 2021, 61(7): 660-670. (in Chinese)

[16]

LIN P, LI M, LIU K, et al. Study on adaptive intelligent cooling strategy for low-heat cement RCC[J]. Journal of Hydraulic Engineering, 2022, 53(9): 1028-1038. (in Chinese)

[17]

TAN Y S, FAN Q X, WANG Z L, et al. Intelligent construction methods for the Baihetan super high arch dam[J]. Journal of Tsinghua University (Science and Technology), 2021, 61(7): 694-704. (in Chinese)

[18]

ZHANG G X, LIU Y, LIU Y Z, et al. Reviews on temperature control and crack prevention of high concrete dam[J]. Journal of Hydraulic Engineering, 2018, 49(9): 1068-1078. (in Chinese)

Journal of Tsinghua University (Science and Technology)
Pages 1060-1067
Cite this article:
LI M, LIN P, LI Z, et al. Intelligent cooling control of roller-compacted concrete dam during dam gap diversion. Journal of Tsinghua University (Science and Technology), 2023, 63(7): 1060-1067. https://doi.org/10.16511/j.cnki.qhdxxb.2023.26.005

127

Views

2

Downloads

0

Crossref

0

Scopus

0

CSCD

Altmetrics

Received: 29 October 2022
Published: 15 July 2023
© Journal of Tsinghua University (Science and Technology). All rights reserved.
Return