期刊文献+
共找到3篇文章
< 1 >
每页显示 20 50 100
Prototype Loading Tests on Full-Ring Segmental Lining of Rectangular Shield Tunnel
1
作者 ZHU Yeting ZHANG Zixin +1 位作者 HUANG Xin ZHANG Guanjun 《Journal of Shanghai Jiaotong university(Science)》 EI 2018年第6期746-757,共12页
A series of full-scale loading tests are performed for a prospective subway tunnel with a rectangular shape including two reliability tests: one stagger-jointed three-ring reliability test, and one ultimate failure te... A series of full-scale loading tests are performed for a prospective subway tunnel with a rectangular shape including two reliability tests: one stagger-jointed three-ring reliability test, and one ultimate failure test on a single ring. Comprehensive measuring programs are designed to record the deformation of both lining structure and joints and the stresses of concrete, bolts and reinforcements. Experimental results show that in both the single-ring and three-ring loading cases, the long sides of tunnel cross section bend inwards while the short sides of tunnel cross section bend outwards. The inner part of joints opens while the outer part of joints closes at places experiencing positive moment and vice versa. Joint's rotational stiffness varies at different locations. Concrete cracking and crushing are the chief damage modes, and they are closely related to the distribution of bending moment. Stagger-jointed fabrication significantly increases the overall rigidity of lining system, which thereby greatly reduces the deformation of both concrete lining and joints in comparison with the single-ring case. It is shown that the routinely-used uniform rigidity model is conservative and the preliminary design can be optimized by applying an effective rigidity ratio(ERR) of 0.5. 展开更多
关键词 segmental lining prototype loading test rectangular shield tunnel effective rigidity ratio(err) ultimate failure
原文传递
基于子系统的非线性时变系统辨识方法 被引量:1
2
作者 陈腾飞 何欢 +1 位作者 何成 陈国平 《振动.测试与诊断》 EI CSCD 北大核心 2020年第5期865-872,1019,共9页
针对非线性时变系统提出一种基于子系统的辨识方法,用于时变多自由度(multiple degree-of-freedom,简称MDOF)系统中非线性的定位和估计,并且无需关于系统的先验知识。所提出的新方法提供一个连续时间模型,MDOF系统按照自由度被分解为不... 针对非线性时变系统提出一种基于子系统的辨识方法,用于时变多自由度(multiple degree-of-freedom,简称MDOF)系统中非线性的定位和估计,并且无需关于系统的先验知识。所提出的新方法提供一个连续时间模型,MDOF系统按照自由度被分解为不同的子系统。设计正交化算法和误差减小率(error reduction ratio,简称ERR),可以确定子系统中质量和自由度之间的线性及非线性连接的所有信息。在辨识过程中,时变参数的时间表达式可以由新方法准确给出。用一个3自由度(degree-of-freedom,简称DOF)集中质量系统和一个机械臂结构的辨识过程为例,对所提出的方法进行验证。由于简单性及高效性,此方法将在实际工程中取得广泛的应用。 展开更多
关键词 非线性时变系统 参数辨识 子系统 正交三角分解 误差减小率计算
下载PDF
基于平淡粒子滤波的自组织模糊神经网络算法
3
作者 程洪炳 倪世宏 +2 位作者 黄国荣 刘华伟 姜正勇 《计算机应用》 CSCD 北大核心 2011年第10期2770-2773,共4页
提出一种基于平淡粒子滤波(UPF)的自组织模糊神经网络(SOFNN)训练算法——UPF-SOFNN。分析了基于误差下降率的模糊规则增删策略和神经元增加和删除准则,建立了以隶属函数宽度参数为状态,以理想输出为量测的动力学模型,并利用UPF对神经... 提出一种基于平淡粒子滤波(UPF)的自组织模糊神经网络(SOFNN)训练算法——UPF-SOFNN。分析了基于误差下降率的模糊规则增删策略和神经元增加和删除准则,建立了以隶属函数宽度参数为状态,以理想输出为量测的动力学模型,并利用UPF对神经元参数进行学习。分别以非线性系统函数逼近和系统辨识为例,对UPF-SOFNN算法进行了仿真验证,表明UPF-SOFNN算法具有更紧凑的结构和较强的泛化性能。 展开更多
关键词 平淡粒子滤波 自组织模糊神经网络 误差下降率 模糊规则 隶属函数
下载PDF
上一页 1 下一页 到第
使用帮助 返回顶部