爆炸排淤填石法中淤泥的本构模型

以爆炸排淤填石法为背景 ,对不同应变率阶段淤泥的本构模型进行了分析 ,利用ANSYS/LS-DYNA动态有限元分析程序对所选择的模型进行验证和确认。计算和分析结果表明 :在形成爆炸空腔的高应变率阶段 ,淤泥表现为理想不可压缩流体的性质 ;在小药量小抵抗线条件下 ,甚至在淤泥自重作用下的较低应变率变形阶段 ,其黏性效应也可以忽略不计。     

基于张量分解融合RGB-D图像的物体识别

为了充分利用RGB-D图像的深度图像信息，提出了基于张量分解的物体识别方法。首先将RGB-D图像构造成一个四阶张量，然后将该四阶张量分解为一个核心张量和四个因子矩阵，再利用相应的因子矩阵将原张量进行投影，获得融合后的RGB-D数据，最后输入到卷积神经网络中进行识别。RGB-D数据集中三组相似物体的识别结果表明，利用张量分解融合RGB-D图像的物体识别准确率高于未采用张量分解的物体识别准确率，并且单一错分实例的准确率最高可提升99%。     

Shape from focus based on 3D structure tensor using optical microscopy

Shape from focus (SFF) is a widely used passive optical method for 3D shape reconstruction. In SFF, a focus measure, which is used to estimate the relative focus level, plays a critical role in depth estimation. In this article, we present a new focus measure for accurate 3D shape estimation in optical microscopy based on the analysis of 3D structure tensor. First, the 3D tensors are computed from the input image sequence for each pixel. Then, each tensor is decomposed into point, curve, and surface tensors by decomposing tensors into eigenvalues and eigenvectors. Finally, the surfaceness is used to measure the quality of sharpness. The proposed focus measure provides accurate focus values and better resistance against noise. The proposed measure is evaluated by conducting experiments using image sequences of simulated and microscopic real objects. The comparative analysis demonstrates the effectiveness of the proposed focus measure in recovering 3D shape.     

Analytical study of surface wave multiple refraction in boundary of a scalar impedance surface with a tensor impedance surface

In this paper, the multiple refraction phenomenon is investigated on the boundary of a scalar impedance surface (SIS) and a tensor impedance surface (TIS). When a surface wave (SW) propagates on the SIS and radiates to the boundary of the TIS, the propagation direction of it is changed and the refraction phenomenon is accrued. The method that is proposed in this paper can predict the multiple refraction for the SW. Moreover, another analytical method is introduced for designing the proposed structure which the double refraction (DR) occurs at arbitrary angles on it. Using it, a sample of the structure is designed by printed circuits in 15.2GHz and the results are verified by the full‐wave simulation and measurement. The results are shown that in the structure, DR is occurred in 2° and 22° as predicted. The proposed method can provide many applications such as design of SW power dividers based on the TISs, impedance surface based waveguides, holographic antennas, and feeding of array antennas.     

Diffusion Magnetic Resonance Imaging-Based Biomarkers for Neurodegenerative Diseases

There has been an increasing prevalence of neurodegenerative diseases with the rapid increase in aging societies worldwide. Biomarkers that can be used to detect pathological changes before the development of severe neuronal loss and consequently facilitate early intervention with disease-modifying therapeutic modalities are therefore urgently needed. Diffusion magnetic resonance imaging (MRI) is a promising tool that can be used to infer microstructural characteristics of the brain, such as microstructural integrity and complexity, as well as axonal density, order, and myelination, through the utilization of water molecules that are diffused within the tissue, with displacement at the micron scale. Diffusion tensor imaging is the most commonly used diffusion MRI technique to assess the pathophysiology of neurodegenerative diseases. However, diffusion tensor imaging has several limitations, and new technologies, including neurite orientation dispersion and density imaging, diffusion kurtosis imaging, and free-water imaging, have been recently developed as approaches to overcome these constraints. This review provides an overview of these technologies and their potential as biomarkers for the early diagnosis and disease progression of major neurodegenerative diseases.     

温度饱和水下的裂隙岩体力学特性研究*

在理论上，利用O‘Connell的饱和水裂隙岩体等效弹性模量与岩石模量的关系式，并由式中的裂隙密度概念意义，建立了温度作用下的裂隙密度与Oda提出的裂隙张量之间的关系式；在试验的基础上，给出了温度、饱和水下的单裂隙岩体应力－应变、抗压强度回归拟合关系表达式。并通过试验与拟合结果对以加以验证，其裂隙岩体力学模型可为裂隙岩体THM耦合分析提供合理的依据。     

裂隙的工程地质调查与损伤效应

本文将岩体中的宏观裂隙体视为岩体的一种初始损伤，给出了岩体的各向异性宏观损伤张量与裂隙间断位移引起的损伤应变张量，建立了以岩体体平均应力应变为基本变量的等效连续模型。同时，还讨论了如何通过现场工程地质调查，以获取确定岩体宏观损伤性质的工程地质信息。     

中国西部钻孔应变仪台网工作回顾与前瞻

中国西部钻孔应变仪观测台网始建于上世纪80年代末期，采用的RZB-1型电容式钻孔应变仪具有10^-10量级的应变灵敏度和小于10^-7/a的飘移。9台仪器分别安装在新疆、甘肃与四川的乌什、西昌和武都等台站，以观测因构造活动引起的地壳应变能的积累，并研究相关的地震前兆特征。总结了台网建设与观测工作，及其用于对台站附近发生的强震的监测预报结果。其中，4种类型的震前异常应变变化较为明显：(1)应变固体潮畸变与年周变畸变；(2)幅度达10^-6应变的积累．并伴随压、张性跳变；(3)异常应变积累持续时间达数月；(4)测得的主应力方向震前向震中方向偏转。最后，对发展我国井下观测技术提出了3点建议。     

基于CP分解的MIMO-OFDM系统接收信号盲检测

多输入多输出-正交频分复用( MIMO-OFDM)无线通信系统中接收信号从空间、时间、频率的维度形成多因素的阵列信号,传统的矢量或者矩阵代数的建模方法在处理多因素信号问题上显得不足,无法利用多因素间的关系,而张量分析在解决多维阵列信号处理的问题上具有优势。针对MIMO无线通信系统,结合OFDM技术,研究了张量信号的建模及分解方法,并充分利用张量信号的分解唯一性提高无线接收信号的检测能力。提出了基于CP( CANDECOMP/PARAFAC)张量分解方法对未知信道状态( CSI)的MIMO-OFDM系统进行接收端的张量信号建模和盲检测,并通过仿真分析验证了模型的可行性。仿真结果表明,在接收天线数目大于发送天线数目且各径信道独立情况下,基于CP分解的接收信号盲检测算法在误码率为10-4时,随着接收天线数目增加,信噪比可获得约5 dB的增益。