深基坑变形影响因子分析及预测方法研究

影响基坑变形的因子有很多，有主要因子和次要因子。根据实际工程经验以及相关资料，在较为全面地总结所有影响基坑变形因子的基础上，结合层次分析法，筛选出主要影响因子，建立一定的量化标准。将影响因子作为输入层，构建基于主要影响因子的BP神经网络。结合天津市中国铁建国际城1D地块深基坑工程，选出围护结构发生明显变形的各时间段，建立17×106的训练数据，采用黄金分割法对隐含层的节点数进行筛选，以4 m，8 m，12 m，16 m处的变形数据为目标层进行训练和仿真。最后，对其它测斜点的变形进行预测，精度满足要求，验证了这种影响因子选择和样本选择方法的有效性，对基坑变形预测有一定的应用指导意义。     

车行横洞施工对隧道主洞变形的影响

针对隧道车行横洞施工对主洞结构产生影响，以运城 灵宝高速公路中条山隧道工程为依托，采用现场试验和三维有限元仿真的方法，对车行横洞施工阶段主洞的变形规律进行了研究。研究结果表明：车行横洞施工对主洞的影响，在时间上主要表现在交叉口初支拆除和横洞的第1个开挖步，随着横洞开挖深度的增加，主洞结构的变形逐步趋于稳定;车行横洞施工对隧道主洞围岩变形影响主要表现为主洞拱顶下沉量增加和开挖侧拱脚水平位移减小，主洞未开挖侧拱脚水平位移影响不大。     

汉代文字中的“变形义化”现象——兼谈汉碑、汉简中与字义有关的字形演变规律

简要总结了汉碑、汉简中与字义有关的三类字形演变规律,着重介绍了其中的"变形义化"现象。"变形义化"是汉字在演变的过程中,将字形中的某一部分稍作改变,成为能表明该字字义的部件这一现象。     

挤压性围岩隧道变形特征分析

乌鞘岭隧道是兰新线重点控制工程，是国内最长的单线铁路隧道。该隧道岭脊地段穿越四条区域性大断层，地应力高，围岩软弱、破碎，属挤压性围岩大变形隧道。隧道施工过程中，出现较为严重的支护变形、支护开裂、钢架扭曲，甚至变形侵限及坍塌事故。针对该隧道特点，开展以变形为主的施工监控量测，进行了变形分布规律、累计变形与最大变形速率的关系、变形与围岩条件的关系以及变形与施工方法的关系等综合分析。提出挤压性围岩隧道具有变形量大、变形速率高、变形持续时间长的变形特征。     

动画造型艺术的魔幻思维

本文在阐释动画本体的基础上,结合动画发展的历史,论述了动画是一门始终追求魔幻思维的造型艺术,其魔幻思维的魅力集中体现在表现超越的时空观念和超越的想象力两个方面.在艺术表现中动画魔幻思维的生命力构成了动画造型艺术本身的生命力,随着动画魔幻思维的拓展,动画艺术的魅力也将越发展现出来.     

Nonstationary Data Analysis by Time Deformation

ABSTRACT

In this article we discuss methodology for analyzing nonstationary time series whose periodic nature changes approximately linearly with time. We make use of the M-stationary process to describe such data sets, and in particular we use the discrete Euler(p) model to obtain forecasts and estimate the spectral characteristics. We discuss the use of the M-spectrum for displaying linear time-varying periodic content in a time series realization in much the same way that the spectrum shows periodic content within a realization of a stationary series. We also introduce the instantaneous frequency and spectrum of an M-stationary process for purposes of describing how frequency changes with time. To illustrate our techniques we use one simulated data set and two bat echolocation signals that show time varying frequency behavior. Our results indicate that for data whose periodic content is changing approximately linearly in time, the Euler model serves as a very good model for spectral analysis, filtering, and forecasting. Additionally, the instantaneous spectrum is shown to provide better representation of the time-varying frequency content in the data than window-based techniques such as the Gabor and wavelet transforms. Finally, it is noted that the results of this article can be extended to processes whose frequencies change like at^α, a > 0, ?∞ < α < ? ∞.     

机械加工过程中网孔大薄板平面度工艺控制研究

分析了网孔大薄板在机械加工过程中的受力和各种变形,提出了控制加工平面度的分区均衡对称减刚工艺原则,并在实践中得到验证。     

地连墙变形影响因素分析及支撑设计研究

结合工程实例,利用有限元分析软件PLAXIS模拟地下连续墙设计参数,探讨不同设计对地连墙变形影响大小及差异,并根据分析结果对支撑设计方法进行优化。结果表明:适当增加墙体刚度,可以有效减小地连墙侧移;如满足地连墙最小入土深度,再增加入土深度意义不大;用混凝土支撑替换钢支撑、增加支撑刚度、减小支撑水平间距以及必要时在竖直方向上增加一道支撑对减小墙体变形具有较好的作用;同时对基坑周围软弱土体及结构薄弱区域进行土体加固对控制基坑变形效果明显。     

建筑基坑变形及支撑结构设计研究

根据现场实测资料分析围护结构变形规律,运用有限元分析软件PLAXIS进行了数值模拟计算,并将计算结果与实际监测值相比较,分析结果表明:建立的有限元模型地下连续墙弯矩计算结果符合实际情况;计算得到的深层水平位移曲线呈现为"两头小,中间大"的抛物线形位移,而且最大侧移位于开挖面附近且随开挖深度不断下移;横向支撑可以有效减小地下连续墙的弯矩,采用混凝土支撑效果更加明显;但是地下连续墙受拉区域主要受开挖深度的影响,支撑的影响不大。     

Modelling spatial intensity for replicated inhomogeneous point patterns in brain imaging

Summary.  Pharmacological experiments in brain microscopy study patterns of cellular activ- ation in response to psychotropic drugs for connected neuroanatomic regions. A typical ex- perimental design produces replicated point patterns having highly complex spatial variability. Modelling this variability hierarchically can enhance the inference for comparing treatments. We propose a semiparametric formulation that combines the robustness of a nonparametric kernel method with the efficiency of likelihood-based parameter estimation. In the convenient framework of a generalized linear mixed model, we decompose pattern variation by kriging the intensities of a hierarchically heterogeneous spatial point process. This approximation entails discretizing the inhomogeneous Poisson likelihood by Voronoi tiling of augmented point patterns. The resulting intensity-weighted log-linear model accommodates spatial smoothing through a reduced rank penalized linear spline. To correct for anatomic distortion between subjects, we interpolate point locations via an isomorphic mapping so that smoothing occurs relative to common neuroanatomical atlas co-ordinates. We propose a criterion for choosing the degree and spatial locale of smoothing based on truncating the ordered set of smoothing covariates to minimize residual extra-dispersion. Additional spatial covariates, experimental design factors, hierarchical random effects and intensity functions are readily accommodated in the linear predictor, enabling comprehensive analyses of the salient properties underlying replicated point patterns. We illustrate our method through application to data from a novel study of drug effects on neuronal activation patterns in the brain of rats.