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A cohesion loss model for determining residual strength of deep bedded sandstone
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作者 SONG Zhi-xiang ZHANG Jun-wen +12 位作者 ZHANG Yu-jie WU Shao-kang BAI Xu-yang ZHANG Li-chao ZHANG Sui-lin ZHANG Xu-wen FAN Guang-chen LI Wen-jun ZENG Ban-quan WANG Shi-ji SUN Xiao-yan SANG Pei-miao LI Ning 《Journal of Central South University》 2025年第7期2593-2618,共26页
Rock residual strength,as an important input parameter,plays an indispensable role in proposing the reasonable and scientific scheme about stope design,underground tunnel excavation and stability evaluation of deep ch... Rock residual strength,as an important input parameter,plays an indispensable role in proposing the reasonable and scientific scheme about stope design,underground tunnel excavation and stability evaluation of deep chambers.Therefore,previous residual strength models of rocks established were reviewed.And corresponding related problems were stated.Subsequently,starting from the effects of bedding and whole life-cycle evolution process,series of triaxial mechanical tests of deep bedded sandstone with five bedding angles were conducted under different confining pressures.Then,six residual strength models considering the effects of bedding and whole life-cycle evolution process were established and evaluated.Finally,a cohesion loss model for determining residual strength of deep bedded sandstone was verified.The results showed that the effects of bedding and whole life-cycle evolution process had both significant influences on the evolution characteristic of residual strength of deep bedded sandstone.Additionally,residual strength parameters:residual cohesion and residual internal friction angle of deep bedded sandstone were not constant,which both significantly changed with increasing bedding angle.Besides,the cohesion loss model was the most suitable for determining and estimating the residual strength of bedded rocks,which could provide more accurate theoretical guidance for the stability control of deep chambers. 展开更多
关键词 residual strength deep bedded sandstone whole life-cycle evolution process cohesion loss model rock mechanics
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基于数据分配策略的数据泄漏检测研究 被引量:1
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作者 唐昌龙 刘吉强 《计算机工程》 CAS CSCD 北大核心 2015年第4期140-144,共5页
使用数据分配策略(DAS)能有效检测数据泄露。鉴于此,分别介绍基于第1代和第2代DAS的检测方法。利用过失模型在解决数据泄漏检测问题上的优势,研究基于过失代理模型的数据分配算法,对其中的明确数据请求分配算法、随机假对象分配算法和优... 使用数据分配策略(DAS)能有效检测数据泄露。鉴于此,分别介绍基于第1代和第2代DAS的检测方法。利用过失模型在解决数据泄漏检测问题上的优势,研究基于过失代理模型的数据分配算法,对其中的明确数据请求分配算法、随机假对象分配算法和优化Agent选择算法进行优化,并对代理模型进行实验仿真,结果表明,优化算法在添加伪数据后能明显提高对过失代理的检测率。此外,还给出针对过失模型的研究方向。 展开更多
关键词 数据分配策略 过失模型 数据泄漏保护 数据隐私 伪数据
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CC-CV charge protocol based on spherical diffusion model 被引量:1
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作者 李连兴 唐新村 +1 位作者 瞿毅 刘洪涛 《Journal of Central South University》 SCIE EI CAS 2011年第2期319-322,共4页
A new insight into the constant current-constant voltage (CC-CV) charge protocol based on the spherical diffusion model was presented. From the model, the CV-charge process compensates, to a large extent, the capaci... A new insight into the constant current-constant voltage (CC-CV) charge protocol based on the spherical diffusion model was presented. From the model, the CV-charge process compensates, to a large extent, the capacity loss in the CC process, and the capacity loss increases with increasing the charging rate and decreases with increasing the lithium-ion diffusion coefficient and using a smaller r value (smaller particle-size and larger diffusion coefficient) and a lower charge rate will be helpful to decreasing the capacity loss. The results show that the CC and the CV charging processes, in some way, are complementary and the capacity loss during the CC charging process due to the large electrochemical polarization can be effectively compensated from the CV charging process. 展开更多
关键词 lithium-ion battery charge protocol constant current-constant voltage mode capacity loss
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