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基于拟蒙特卡罗方法的供水管网抗震可靠性分析并行化研究 被引量:6
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作者 龙立 郑山锁 +3 位作者 周炎 贺金川 孟宏立 蔡永龙 《浙江大学学报(工学版)》 EI CAS CSCD 北大核心 2020年第2期241-247,共7页
为了提高基于蒙特卡罗(Monte Carlo)方法的供水管网抗震可靠性分析效率,以低偏差Sobol点列替代伪随机数序列对供水管网节点和管段破坏概率进行抽样,结合宽度优先搜索算法,提出基于拟Monte Carlo方法和统一计算设备架构(CUDA)的供水管网... 为了提高基于蒙特卡罗(Monte Carlo)方法的供水管网抗震可靠性分析效率,以低偏差Sobol点列替代伪随机数序列对供水管网节点和管段破坏概率进行抽样,结合宽度优先搜索算法,提出基于拟Monte Carlo方法和统一计算设备架构(CUDA)的供水管网抗震可靠性分析并行算法,并从内存、执行配置和指令等方面优化并行算法.以某城市供水管网系统为例,对比串行和并行计算方法的精度及效率,分析Sobol点列和伪随机数序列对管网可靠性分析的影响.结果表明,并行和串行方法计算结果的误差最大为0.52%,并行方法最高加速比为串行算法的96倍,在保证结果精度的同时大幅度提高计算效率.基于Sobol点列进行1000次并行模拟及基于伪随机数序列进行5000次并行模拟,2种模拟结果与基于模糊数学法的解析值的最大误差分别为0.2%、0.4%,表明基于拟Monte Carlo的并行方法具有更高的精确度,更快的收敛速度. 展开更多
关键词 供水管网 统一计算设备架构(CUDA) 宽度优先搜索 并行计算 网络可靠性分析 拟Monte CARLO方法
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Earth slope reliability analysis under seismic loadings using neural network 被引量:8
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作者 彭怀生 邓建 古德生 《Journal of Central South University of Technology》 EI 2005年第5期606-610,共5页
A new method was proposed to cope with the earth slope reliability problem under seismic loadings. The algorithm integrates the concepts of artificial neural network, the first order second moment reliability method a... A new method was proposed to cope with the earth slope reliability problem under seismic loadings. The algorithm integrates the concepts of artificial neural network, the first order second moment reliability method and the deterministic stability analysis method of earth slope. The performance function and its derivatives in slope stability analysis under seismic loadings were approximated by a trained multi-layer feed-forward neural network with differentiable transfer functions. The statistical moments calculated from the performance function values and the corresponding gradients using neural network were then used in the first order second moment method for the calculation of the reliability index in slope safety analysis. Two earth slope examples were presented for illustrating the applicability of the proposed approach. The new method is effective in slope reliability analysis. And it has potential application to other reliability problems of complicated engineering structure with a considerably large number of random variables. 展开更多
关键词 slope reliability analysis neural network seismic loadings
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