热载流子注入对MOS结构C─V和I─V特性的影响

讨论了热载流子注入对ＭＯＳ结构Ｃ─Ｖ和Ｉ─Ｖ特性的影响。指出热载流子效应引起载流子陷落和界面态的产生，导致Ｃ─Ｖ特性曲线畸变、平带电压漂移和恒定电压下ＳｉＯ２漏电流随时间漂移。本文论述了这些漂移的机理，提出了漂移的ｔｎ物理模型，从而很好地解释了实验所观察到的现象。     

Fluorescence in situ hybridization mapping of the cystic fibrosis transmembrane conductance regulator (CFTR) gene to 7q31.3

We have used the fluorescence in situ hybridization (FISH) technique to refine the localization of the cystic fibrosis transmembrane conductance regulator (CFTR) gene on human chromosome 7. The result shows that the gene is most likely located within band q31.3.     

镀镍云母导电复合材料的研究

对云母粒子化学镀镍及以LDPE为基材,镀镍云母粒子为填料制备的导电复合材料进行研究。认为此种导电复合材料只有质量轻、强度大及良好的导电等性能。     

莫来石材料的研究现状及其应用

较详细地介绍了莫来石的性能、生产、研究现状和用途。尤其对多元复合莫来石韧性陶瓷及莫来石超细粉末的制备进行了评述,同时展望了莫来石作为高级陶瓷材料的发展前景。     

Stored energy analysis of Zn—5Al eutectic alloy in superplastic deformation

The stored energy and the energy release during SPD(superplastic deformation)of a Zn-5Al alloy were studied.The alloy after rolling process gains more stored energy,and the as-rolled speciment can obtain maximum elongation and minimum flow stress without hot loding treatment before SPD.Experimental results show that stroed energy release process is along with SPD process and is also an impetus to SPD.The as -rolled Zn-5Al alloy has 48J/mol stored energy which was measured with DSC(differential scanning calorimeter)and conforms well to the calcuated value.The as-rolled Zn-5Al alloy after SPD with an elongation of 2500% releases 112J/mol stored energy,Analysis shows that the strain rate is in direct ratio to the rate of stred energy release.     

高层建筑损伤识别中的补偿算法

本文在已有研究工作的基础上，提出了处理激励测量信息不完备情况下的补偿算法。此方法主要针对高层建筑动力检测中强迫激励的情况，是一种基于时域的识别方法，该方法实际上是利用客观工程实际中结构系统激励所具有的物理持征作为识别计算的辅助条件，来解决测量信息的不完备性问题。算例分析表明了该方法的可行性。     

国产核电厂蒸汽发生器下封头接管区模拟装置承受循环载荷能力的试验

国产核电厂蒸汽发生器下封头群孔接管区具有应力分布复杂、焊接施工条件差的特点。为考核其承受循环载荷的能力，设计制造了与实物相似的模拟试验装置，根据核电厂运行寿命期内的载荷特点，确定了模拟试验装置的试验载荷与试验循环数。循环加载试验的结果表明，蒸汽发生器下封头群孔接管区承受循环载荷的能力在寿命期内是符合要求的。     

Development of Bi(Pb)-2223/Ag pancake-shaped and solenoidal coils

High temperature superconducting (HTSC) multifilamentary (MT) Bi(Pb)-2223/Ag tapes with reproducible critical current density of between 15000 and 20000 A/cm² at 77 K in self field have been achieved using the standard flat-rolling method as the intermediate deformation between sintering periods. Long lengths of Bi(Pb)-2223/Ag MT tapes up to 43 m prepared by the conventional method of powder-in-tube (PIT) have been successfully produced on a laboratory scale. Several coils have been fabricated from sections of the long length tape, using the co-wound wind-and-react (W&R) procedure for the pancake-shaped and the singly-wound W&R as well as R&W procedure for the solenoidal coils. A novel W&R solenoidal coil (reaching ~973 ampere-turns) wound on an alumina ceramic tube generates a DC field of ~19 mT at 77 K and has been fabricated together with five pancake-shaped coils, each generating an average of ~5 mT at 77 K. These are destined for magnet construction with a possible combined calculated field of ~0.04 T at 77 K (with liquid nitrogen as a coolant)     

太钢电弧炉上应用四星接法MOA的必要性

分析了太钢电弧炉变压器高压侧相间过电压的产生原因，比较了用于限制过电压的避雷器的两种接法．结论是用四垦接法ＭＯＡ限制过电压的效果较显著．     

A Method of Combined SHPB Technique and BP Neural Network to Study Impact Response of Materials

Abstract:  A new method combining the split Hopkinson pressure bar (SHPB) technique with the back-propagation (BP) neural network program is proposed. By this method, the treated strain wave signals become smooth with less noises induced by the transverse inertia. Moreover, the dynamic rate-dependent constitutive behaviour of materials can be identified, without any pre-assumption of a constitutive model. It is found that by taking the experimentally measured data of strain, strain rate and time as 'input' and the corresponding data of stress as 'output' of the BP neural network, the dynamic constitutive behaviour with internal damage or phase transformation evolution is easy to be identified, where the time could represent either the internal damage evolution or phase transformation process accompanied with the deformation process. It is emphasised that the data learnt by the BP neural network must include both loading and unloading processes, if the whole loading and unloading response is to be correctly predicted. The comparisons between the predictions and experimental results are in good agreement for both polyamide (PA) polymer (as an example of nonlinear viscoelastic materials) and Ti–Ni alloy (as an example of superelastic materials with stress-induced phase transformation).