首页|句容抽蓄上水库筑坝料E-B模型分期反演参数对比分析

句容抽蓄上水库筑坝料E-B模型分期反演参数对比分析

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为预测句容抽蓄上水库坝体和库盆在竣工期和蓄水后产生的变形,利用施工期上库主坝和库盆的变形监测资料,对填筑料 E-B模型参数进行分期反演.在此基础上,采用第三期反演参数,对竣工期和蓄水后的库盆变形特性进行预测和分析.研究表明,利用早期短时序坝体变形监测资料得到的模型反演参数偏大,随着坝体填筑高度的增加,采用后期长时序变形监测资料反演得到的模型参数逐渐减小并趋于真实值;在 E-B模型中引入初始应力状态参数S0 可以考虑现场压实坝料的超固结特性,S0 越大,坝体变形越小,经历高强度碾压后的填筑料S0 在 0.40~0.55 之间;基于第三期反演参数的库盆竣工期沉降计算结果与实测结果总体吻合较好.研究结果可用于指导工程实践.
Comparison of Parameters of E-B Model for Upper Reservoir Backfill Materials Determined by Stage Back-analysis in Jurong Pumped Storage Station
To predict the deformation of the dam body and reservoir basin of the Jurong Pumped Storage Power sta-tion during the completion period and after impoundment,the stage back-analysis were conducted to determine the pa-rameters of E-B model of the backfill materials in the upper reservoir by using the deformation data monitored during the construction period.Base on the back-analysis parameters in the third stage,the deformation characteristics of the dam and basin of upper reservoir after completion and impoundment were predicted.The results show that the back-analysis parameters obtained by using the deformation monitoring data in the early short-time period are comparatively large,while the parameters back analysis by using the deformation monitoring data with long-time duration decrease gradually to the true values.Introducing the initial stress state parameter S0 into the E-B model can reflect the over-consolidation characteristics of the in-situ compacted dam material,the larger the value of S0,the smaller dam deformation predicted.The value of S0 for backfill materials of dam after high strength compaction is between 0.40 and 0.55.For the settlement for the upper reservoir after completion,the predicted value by using the parameters obtained through the third stage back-a-nalysis agrees well with the monitoring value.The result of this study can be used to provide reference in the engineering.

over-consolidationstage back-analysisDuncan E-B modelhigh fill reservoir basinpumped-storage power station

陈洪春、徐剑飞、王柳江、李瑞平、徐祥、洪磊、段玉昌

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江苏句容抽水蓄能有限公司, 江苏 句容 212400

河海大学水利水电学院, 江苏 南京 210098

超固结 分期反演 E-B模型 高填方库盆 抽水蓄能

国家重点研发计划国家自然科学基金项目国家自然科学基金项目

2022YFE01050005220916052009036

2024

水电能源科学
中国水力发电工程学会 华中科技大学 武汉国测三联水电设备有限公司

水电能源科学

CSTPCD北大核心
影响因子:0.525
ISSN:1000-7709
年,卷(期):2024.42(3)
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