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小浪底大坝心墙渗透压力预测模型研究 被引量:6

Monitoring Data Analysis of Seepage Pressure in Core Wall of Xiaolangdi Project
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摘要 针对小浪底大坝心墙内部某些监测点孔隙水压力持续偏高的情况,通过对坝体多年渗透压力监测资料分析,建立渗透压力与库水位、降雨、温度及时效之间的相关模型,分析心墙渗透压力的变化规律及原因,计算库水位、降雨、温度及时效对渗透压力的影响。分析结果表明:测点P115、P116及P117渗透压力随库水位变化明显,且渗透压力变化与库水位变化规律一致;测点P124和P125渗透压力基本保持稳定,对库水位变化不敏感,各测点土体固结时间长,孔隙水压力消退缓慢。各影响要素中,库水位对渗透压力影响较大,降雨、温度及时效分量对渗透压力的影响较小。 For the case of pore water pressure continued high in some monitoring points of the internal core wall of the Xiaolangdi dam,this paper analyzed the monitoring data of osmotic pressure of the dam,establishes statistical models about osmotic pressure and water level,rain-fall,temperature and aging,analyzed the change rules and causes of the osmotic pressure of the core wall and calculated the impact of these component on the osmotic pressure. The results shows that osmotic pressure in measuring points P115,P116 and P117 changes significantly with water level and osmotic pressure change is consistent with the change rule of reservoir water level;the osmotic pressure values in meas-urement points P124 and P125 remain stable,which is not sensitive to change with the water level,the soil in each measuring point consoli-dates with long time and pore water pressure subsides slowly. Among these influential elements,the reservoir water level has greater impact on the osmotic pressure and the impact of rainfall,temperature and aging is less.
出处 《人民黄河》 CAS 北大核心 2015年第1期130-132,136,共4页 Yellow River
基金 湖南省教育厅资助项目(09C086)
关键词 渗透压力 监测资料 统计模型 影响分量 小浪底工程 seepage pressure monitoring data analysis statistical model impact of component Xiaolangdi Project
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