MgO／Ni系梯度功能材料的设计与制备

对ＭｇＯ／Ｎｉ系梯度功能材料（ＦＧＭ），分别用实验和微观力学模型测定和计算了用于热应力缓和设计的各物性参数。讨论了两种结果之间存在差异的原因。用有限元方法模拟了制备过程中ＦＧＭ的热应力，得到ＭｇＯ／Ｎｉ系ＦＧＭ的综合设计准则。按设计结果进一步调整粉末工艺性质，成功地烧制出ＭｇＯ／Ｎｉ系ＦＧＭ。     

SOE系统输入卡件的设计

事件顺序记录,即SOE（Sequence of Events）系统可以正确、快速地确定事故故障,迅速处理事故,恢复系统的正常运行。SOE系统中输入卡件的设计,包括卡件的组成及软件模块的设计。产品测试表明,系统接收多点数据信息正确,能够及时准确的反映数据采集的实时数值,并提供报警信息。     

空中动态悬跨缆设计及极值疲劳分析

从工程实际问题出发,利用实测资料,对渤海上的一个连接FPSO与固定导管架平台的动态悬跨缆进行基本的线型设计.借助Orcaflex软件对动态缆响应进行非线性时域分析,在不同海况下对动态缆进行极值分析和疲劳分析,进而对其进行安全评估,指出管缆的危险区域.结果对类似的悬跨缆设计、分析以及对其危险区域的保护等工作有实际参考意义.     

压力容器应力应变在线测量系统研究

应用Ｖｉｓｕａｌ Ｂａｓｉｃ软件开发了一套压力容器的应力采集与处理系统，将ＩＢＭ－３８６微机与ＹＪＤ－１７型应变仪联机，用微机来控制测点应变的采集与处理，并将大型结构分析软件ＳＡＰ５嵌入本系统。     

液氨贮存设计分析

氨是生产含氮肥料及尿素的基本原料，为确保原料供应，必须设置其贮存设施。介绍了常温中压、降温低压和低温常压三种不同的液氨贮存工艺及其特点，并以某大型氨站设计为例，分析了液氨贮存工艺流程、主要设备、材料的选型和工艺参数的确定。     

蒸汽夹套管设计中需注意的几个问题

在石油、化工生产中 ,蒸汽夹套管作为保温管道类型之一常常在实际生产广泛运用。针对蒸汽夹套管在设计、安装中经常忽视的一些问题 ,分别从不同侧面加以比较分析 ,概括出它们在不同工况下的共同特点。在实际生产中 ,可有效提高管道运行的可靠性 ,降低投资     

扩散控制下固定床电化学反应器研究：（Ⅲ）反应器的设计与操作

采用一维反应器模型对扩散控制下固定床电化学反应器的设计进行了详细的讨论，并对反应器的优化操作进行了初步探讨。     

Multimodel analysis and controller design for nonlinear processes

Multimodel analysis and controller design for nonlinear processes via gap metric is discussed. It is shown that the loop-shaping H_∞ approach can integrate the procedure of selecting operating points and the local controller design. The local controllers can guarantee not only stability but also performance specified by the pre- and/or post-compensators. Thus, at each operating points, local controllers can have similar performance, and the global performance of the system can be predicted.     

NEURAL-NETWORK-AIDED DESIGN OF AUTOMOBILE EXHAUST CATALYSTS

A priori design of catalysts is not yet possible. Such task would demand unavailable scientific knowledge of the correlations among synthesis parameters and resulting solid state and surface structures, on the one hand, and among those atomic-level structural details and their catalytic functions, on the other hand. To avoid testing every possible combination, therefore, the applied chemist or chemical engineer must identify empirical correlations underlying the existing experimental data base.

The ability of artificial neural networks to identify complex correlations and to predict the result of experiments has recently generated considerable interest in various areas of science and engineering. In this paper, neural networks are used to identify composition-performance relationships in automobile exhaust catalysts.

This work employs an artificial neural network technique to do a sensitivity analysis of the conversions of pollutant gases as a function of the catalyst composition and the operating conditions. This approach converges on the optimum catalyst composition and operating condition in order to produce specified conversions of carbon monoxide, hydrocarbons and nitrogen oxides, to carbon dioxide, water and di-nitrogen respectively.     

New inhibitors of the Tat-TAR RNA interaction found with a "fuzzy" pharmacophore model

TAR RNA is a potential target for AIDS therapy. Ligand-based virtual screening was performed to retrieve novel scaffolds for RNA-binding molecules capable of inhibiting the Tat-TAR interaction, which is essential for HIV replication. We used a "fuzzy" pharmacophore approach (SQUID) and an alignment-free pharmacophore method (CATS3D) to carry out virtual screening of a vendor database of small molecules and to perform "scaffold-hopping". A small subset of 19 candidate molecules were experimentally tested for TAR RNA binding in a fluorescence resonance energy transfer (FRET) assay. Both methods retrieved molecules that exhibited activities comparable to those of the reference molecules acetylpromazine and chlorpromazine, with the best molecule showing ten times better binding behavior (IC50 = 46 microM). The hits had molecular scaffolds different from those of the reference molecules.