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作 者:孙向军 潘家军[1] 丁立鸿 周跃峰[1] 卢一为 左永振[1] SUN Xiang-jun;PAN Jia-jun;DING Li-hong;ZHOU Yue-feng;LU Yi-wei;ZUO Yong-zhen(Key Laboratory of Geotechnical Mechanics and Engineering of Ministry of Water Resources,Changjiang River Scientific Research Institute,Wuhan 430010,China;Zuojiang Drought Control Project Management Center,Chongzuo City,Guangxi,Chongzuo 532200,China)
机构地区:[1]长江科学院水利部岩土力学与工程重点实验室,武汉430010 [2]广西崇左市左江治旱工程管理中心,广西崇左532200
出 处:《长江科学院院报》2023年第9期133-138,共6页Journal of Changjiang River Scientific Research Institute
基 金:国家自然科学基金项目(51979010);中央级公益性科研院所基本科研业务费项目(CKSF2021484/YT)。
摘 要:为研究试验前后软岩堆石料级配变化规律,开展了两座水库筑坝软岩堆石料的系列大型试验,采用Marsal颗粒破碎率和级配方程参数进行了量化分析。结果表明:(1)击实试验在最优含水率附近,Marsal颗粒破碎率最大;(2)随围压增大,三轴试验的Marsal颗粒破碎率增大,且在达到某一围压后,增加不再明显;(3)超大击实试验的Marsal破碎率比大型击实试验大,湿化和蠕变试验后的Marsal颗粒破碎率小于饱和三轴试验的颗粒破碎率,大型侧限压缩试验的Marsal颗粒破碎率比三轴试验的颗粒破碎率小;(4)试验前后级配方程的参数呈单调变化,且有统一收敛于某一定值的趋势。上述研究结论可为级配优化设计提供科学依据。To investigate the variation law of particle grading in soft rock fill before and after testing,a series of large-scale experiments were conducted on soft rock fill in the construction of two reservoir dams.Quantitative analysis was performed using the Marsal particle crushing rate and grading equation parameters.Results are as follows:1)In the compaction tests,the Marsal particle crushing rate reaches its maximum value near the optimum moisture content.2)With increasing confining pressure,the Marsal particle crushing rate increases in the triaxial tests.However,such rate increase becomes less significant when a specific confining pressure is reached.3)The Marsal particle crushing rate in super-large-scale compaction tests is higher than that in large-scale compaction tests.The rate of Marsal particle crushing after wetting and creep tests is lower than that in saturated triaxial tests.The Marsal particle crushing rate in large-scale lateral compression tests is also lower than that in triaxial tests.4)Parameters of the grading equation show a monotonic change before and after the tests,tending to converge to a specific value.These research findings provide a scientific basis for optimizing the grading design.
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