颗粒流的动力学模型和实验研究进展

首先叙述了颗粒流研究的背景和基本概念,接着概述了颗粒流动力学研究的三种基本数学力学模型:颗粒动理论(kinetic theory)模型、摩擦塑性模型和离散元模拟模型.介绍了它们的基本原理,并分析了各个模型的优缺点和适用范围.随之,对颗粒流的实验研究情况作了简要的介绍,列举了研究中几种常用的试验方法和观测手段,以及观测到的一些典型现象.最后,我们简述了颗粒流研究的主要困难,并提出了某些有待解决的研究课题.      

混凝土断裂过程的力学模型与数值模拟

混凝土是一种典型的非均匀准脆性材料,其断裂过程是非常复杂的.评述了混凝土断裂以及断裂过程研究的进展状况,主要总结了一些研究混凝土断裂的宏观力学方法和模型,介绍了从混凝土的细观层次出发模拟其断裂过程的数值模型.最后,简单介绍了作者用细观数值方法模拟混凝土宏观断裂过程的研究成果.      

结构动力优化设计述评与展望

结构动力优化设计是当前工程结构设计研究领域中的前沿性课题。文中着重从结构动力特性优化、结构动力响应设计、结构动力灵敏度分析和基于可靠性的结构动力优化设计等四个专题方面对结构动力优化设计研究的发展与现状进行了述评,并粗略地展望了结构动力优化研究未来的发展趋势。      

宽板塑性弯曲成形过程中的板厚变化规律

根据宽板弯曲过程中的变形与应力分布特征，提出了一种计算弯曲过程中板料厚度随弯曲程度变化的新的近似解答方法．该方法基于塑性增量理论，应用塑性成形过程的体积不变假设和弯曲过程的平面假设．作为算例，得到了理想刚塑性材料的板料厚度、变薄系数以及应变中性层内移系数随板料弯曲内表面曲率半径变化的规律，并与实验数据进行了比较，两吻合良好．     

分段滤波用于消除脉搏血氧检测中多种运动干扰的研究

脉搏血氧饱和度检测仪可以无损、实时地检测动脉血液中的含氧百分比,从而快速对人体的呼吸状况以及心肺功能作出判断,但其检测精度极易受到测试部位运动的影响.人体测试部位的运动大致可以分为突发性运动干扰以及周期性的运动干扰.突发性干扰表现在局部脉搏波的波形突变上,而周期性的干扰体现在多个局部脉搏波的波形的周期性变化上.文章有针对性地提出了一种将微分阈值分段与迭带中值滤波相结合的方法来剔除突发扰动的方法,并且在上诉方法上再加上一级多点移动平滑以消除周期性运动干扰.实验证明该方法在消除多种运动伪差上有着较好的效果,且该方法计算简单,易于实现,有着一定的实际应用价值.     

外源一氧化氮对镉胁迫下番茄幼苗叶绿体保护作用的光谱学分析

镉（Cd）是重要的重金属污染源，一氧化氮（NO）是近年来发现的一种普遍存在于生物界的信使分子，研究表明其参与了植物对Cd胁迫的应答反应调控。文章用硝普纳（SNP）作为NO供体，向番茄幼苗喷洒100mol·L^-1SNP1d后加入50mol·L^-1Cd处理7d，取完全展开叶片，提取叶绿体进行光谱学研究，分别测定了叶绿体室温吸收光谱、叶绿体低温荧光光谱和DCPIP电子传递效率等指标，研究外源NO缓解Cd对叶绿体毒性的影响。结果发现，CA对叶绿素a、叶绿素b和类胡萝b素含量都有不同程度的降低，NO处理缓解了CA的影响，使叶绿体室温吸收光谱的吸收率提高；CA导致686nm处峰（PSII）偏移4nrn，峰值降低33％，734nm处峰值降低23％，外源NO缓解了Cd对光合系统的影响，使得叶绿体低温荧光光谱在686和734nm的峰值分别仅下降17％和100o；以DCPIP为人工电子受体，Cd处理的叶绿体中DCPIP还原速率较慢，光合电子传递（H2O→DCPIP）速率降低1．5倍，外源NO处理显著缓解了Cd对电子传递链的抑制，使其光合电子传递速率恢复到对照的水平。该研究可为NO处理增强植物对Cd胁迫的抗性提供理论依据。     

Novel correction method for X-ray beam energy fluctuation of high energy DR system with a linear detector

A high energy digital radiography (DR) testing system has generated diverse scientific and technological interest in the field of industrial non-destructive testing. However, due to the limitations of manufacturing technology for accelerators, an energy fluctuation of the X-ray beam exists and leads to bright and dark streak artifacts in the DR image. Here we report the utilization of a new software-based method to correct the fluctuation artifacts. The correction method is performed using a high pass filtering operation to extract the high frequency information that reflects the X-ray beam energy fluctuation, and then subtracting it from the original image. Our experimental results show that this method is able to rule out the artifacts effectively and is readily implemented on a practical scanning system.     

Synthesis of SnO_2 nanorods from aqueous solution:The effect of preparation conditions on the formed patterns

<正>SnO_2 nanorods were deposited on the Si substrates in an aqueous solution containing both SnCl_4 and CO(NH_2)_2.It is found that different self-assembled patterns of SnO_2 nanorods can be obtained by changing the deposition conditions such as the molar ratio of CO(NH_2)_2 to SnCl_4 and the pretreatment of the substrate.Scattered SnO_2 nanorods,for example,can be changed into flower-like patterns when the molar ratio of CO(NH_2)_2 to SnCl_4 is raised,and well-aligned nanorod arrays can be formed when the pretreatment of the substrate is changed.In addition,some interesting patterns,e.g.tree-like patterns,can also be observed.     

The multi-concentration and two-dimensional capillary electrophoresis method for the analysis of drugs in urine samples

A novel method has been developed by integration of multi-concentration and two-dimensional(2D) capillary electrophoresis(CE) for simultaneous enhancement of detection sensitivity and separation power in complex samples.Capillary zone electrophoresis(CZE) was used as the first dimension separation according to mobilities,from which the effluent fractions were further analyzed by micellar electrokinetic capillary chromatography(MEKC) acting as the second dimension.Cation-selective exhaustive injection(CSEI) ...     

A three-step system calibration procedure with error compensation for 3D shape measurement

System calibration, which usually involves complicated and time-consuming procedures, is crucial for any three-dimensional （3D） shape measurement system based on vision. A novel improved method is proposed for accurate calibration of such a measurement system. The system accuracy is improved with considering the nonlinear measurement error created by the difference between the system model and real measurement environment. We use Levenberg-Marquardt optimization algorithm to compensate the error and get a good result. The improved method has a 50% improvement of re-projection accuracy compared with our previous method. The measurement accuracy is maintained well within 1.5% of the overall measurement depth range.