水封洞库防渗注浆工程量估算方法研究

doi:10.3724/1000-6915.jrme.2024.0359

Abstract
Figure/Table
References (0)
Related Citation (15)

Download: PDF (708 KB) HTML (1 KB)
Export: BibTeX | EndNote (RIS)

Abstract At present，the design value of the grouting engineering quantity for large-scale water-sealed caverns in China is mainly determined by referring to the storage capacity(or investment scale) and in the light of the actual grouting amount of the already constructed projects. The lack of consideration of the differences in geological conditions among different projects resulted in a multiple-fold discrepancy between the actual and the designed grouting amount of most projects，and brought out negative impacts on the control of project investment，duration，and quality. The length of grouting tunnel，the amount of grouting cement taken，and the total length of grouting sections are the main indexes to characterize the amount of grouting works. To explore a method to improve the estimation accuracy of the amount of grouting works，hydrogeological test of 57 boreholes with a total of 852 sections during investigation phase，the grouting information of a construction tunnel with the length of 3 200 m in construction phase，and the grouting data of 384 grouting boreholes have been collected in this study. By comparing and analyzing the proportion of borehole sections with over-standard permeability and the proportion of tunnel sections those need grouting during the construction phase，a method for estimating grouting tunnel length is proposed. Drawing on the practical experience garnered from lots of such cavern projects，a method for estimating the total length of grouting sections corresponding to different excavation types of caverns is summarized. Through establishing the correlation between the cement consumption and the permeability before grouting，a method for estimating the cement consumption of the project is put forward. The established grouting engineering quantity estimation method system above，that takes the engineering scale，the geological characteristics and the excavation type into account，not only contributes to standardizing the grouting works in water-sealed cavern projects，but also possesses reference significance for grouting in other types of underground rock engineering.

Key words： underground engineering water-sealed cavern anti-seepage grouting grouting engineering quantity estimation method

	Service

	E-mail this article
	Add to my bookshelf
	Add to citation manager
	E-mail Alert
	RSS
	Articles by authors
	ZHANG Yihu1
	ZHANG Lide2
	ZHAO Xiao2
	LIANG Longqun3
	LIU Qian1
	DING Changdong1

Cite this article:

ZHANG Yihu1,ZHANG Lide2,ZHAO Xiao2, et al. Research on the estimation method of anti-seepage grouting engineering quantity for water-sealed caverns[J]. , 2025, 44(S1): 42-50.

URL:

https://rockmech.whrsm.ac.cn/EN/10.3724/1000-6915.jrme.2024.0359 OR https://rockmech.whrsm.ac.cn/EN/Y2025/V44/IS1/42

[1]	GOODALL D C，ÅBERG B，BREKKE T L. Fundamentals of gas containment in unlined rock caverns[J]. Rock Mechanics and Rock Engineering，1988，21(4)：235-258.
[2]	中华人民共和国国家标准编写组. GB 50455—2020 地下水封石洞油库设计规范[S]. 北京：中国计划出版社，2020.(The National Standards Compilation Group of People?s Republic of China. GB 50455—2020 Standard for design of underground oil storage in rock caverns[S]. Beijing：China Planning Press，2020.(in Chinese))
[3]	刘忠，张业金，张立德. 地下岩洞油库水封性高效调控策略[J]. 油气储运，2022，41(9)：1 036-1 043.(LIU Zhong，ZHANG Yejin，ZHANG Lide. Efficient regulation strategy for water sealing of underground oil storage in rock caverns[J]. Oil and Gas Storage and Transportation，2022，41(9)：1 036-1 043.(in Chinese))
[4]	王述红，郝哲. 岩体微裂隙注浆量预测分析的遗传神经网络方法[J]. 岩土工程学报，2001，23(5)：572-575.(WANG Shuhong，HAO Zhe. The genetic algorithm-neural network method to forecast the miniature crack grouting in rock matrix[J]. Chinese Journal of Geotechnical Engineering，2001，23(5)：572-575.(in Chinese))
[5]	YANG C P. Estimating cement take and grout efficiency on foundation improvement for Li-Yu-Tan dam[J]. Engineering Geology，2004，75：1-14.
[6]	饶小康，贾宝良，郭亮，等. 基于大数据平台的灌浆工程单位注入量的预测研究[J]. 水电能源科学，2018，36(4)：130-133.(RAO Xiaokang，JIA Baoliang，GUO Liang，et al. Prediction research of per cement in grouting engineering based on big data platform[J]. Water Resources and Power，2018，36(4)：130-133.(in Chinese))
[7]	施龙青，黄纪云，高卫富，等. 基于BP神经网络矿井突水点注浆量的预测[J]. 煤炭技术，2019，38(7)：101-103.(SHI Longqing，HUANG Jiyun，GAO Weifu，et al. Prediction of grouting amount of mine water inrush point based on BP neural network[J]. Coal Technology，2019，38(7)：101-103.(in Chinese))
[8]	李凯，任炳昱，关涛，等. 帷幕灌浆量区间预测的Bootstrap-IGWO-SVM模型研究[J]. 水力发电学报，2022，41(10)：18-29. (LI Kai，REN Bingyu，GUAN Tao，et al. Curtain grouting cement interval prediction using Bootstrap-IGWO-SVM model[J]. Journal of Hydroelectric Engineering，2022，41(10)：18-29.(in Chinese))
[9]	闫福根，李子康，钟坤. 基于遗传神经网络的灌浆单位注灰量预测方法[J]. 水利水电技术，2023，54(增2)：224-230.(YAN Fugen，LI Zikang，ZHONG Kun. Prediction method of grouting unit amount of cement injection based on genetic neural networks[J]. Water Resources and Hydropower Engineering，2023，54(Supp.2)：224-230.(in Chinese))
[10]	XIAO F，SHANG J L，ZHAO Z Y. DDA based grouting prediction and linkage between fracture aperture distribution and grouting characteristics[J]. Computers and Geotechnics，2019，112：350-369.
[11]	石祖智，常峻，吴斌平，等. 基于改进混合核极限学习机的坝基注浆量预测代理模型研究[J]. 水利水电技术，2021，52(9)：57-66. (SHI Zuzhi，CHANG Jun，WU Binping，et al. Study on surrogate model of dam foundation grouting volume prediction based on improved multiple kernel extreme learning machine[J]. Water Resources and Hydropower Engineering，2021，52(9)：57-66.(in Chinese))
[12]	SOHRABI-BIDAR A，RASTEGAR-NIA A，ZOLFAGHARI A. Estimation of the grout take using empirical relationships(case study：Bakhtiari dam site)[J]. Bulletin of Engineering Geology and the Environment，2016，75：425-438.
[13]	PAL S，KANNAN G，NANDA A. A study on grout estimate for crude oil storage in rock caverns[J]. Journal of Rock Mechanics and Tunnelling Technology，2017，23(2)：123-133.
[14]	XIAO F，LIU Q，ZHAO Z. Information and knowledge behind data from underground rock grouting[J]. Journal of Rock Mechanics and Geotechnical Engineering，2021，13(6)：1 326-1 339.
[15]	中华人民共和国行业标准编写组. SY/T 0610—2008 地下水封洞库岩土工程勘察规范[S]. 北京：石油工业出版社，2008.(The Professional Standards Compilation Group of People?s Republic of China. SY/T 0610—2008 Standard for underground water enclosed cavern investigation of geotechnical engineering[S]. Beijing：Petroleum Industry Press，2008.(in Chinese))
[16]	张奇华，何国富，李玉婕，等. 水封洞库围岩渗透性质与渗水量分析及防渗效果检测标准讨论[J]. 化工与医药工程，2018，39(2)：1-5. (ZHANG Qihua，HE Guofu，LI Yujie，et al. Analysis of rock permeability and water seepage quantity for water-sealed cavern and discussion on detection standard of seepage protection[J]. Chemical and Pharmaceutical Engineering，2018，39(2)：1-5.(in Chinese))
[17]	BARTON N，QUADROS E. Understanding the need for pre-injection from permeability measurements：what is the connection[J]. Journal of Rock Mechanics and Geotechnical Engineering，2019，11(3)：576-597.