HA型粘结剂性能评判的研究

冷固结球团直接还原工艺成功的关键因素之一是成型粘结剂的选用。粘结剂性能评判 ,传统的方法是通过考查球团矿的机械强度来说明粘结剂性能的优劣 ,步骤繁锁。经过试验研究 ,本文提出了用粘度大小来评判粘结剂性能的直接方法并从理论上进行了论证。对于 HA型复合粘结剂 ,在六速旋转粘度计上测量 ,50 g复合粘结剂的粘度若大于或等于 6.5× 1 0 -3 Pa·s,表示粘结剂性能较好 ,能满足铁精矿冷固球团直接还原工艺的要求 ;若小于或等于 3.0× 1 0 -3 Pa· s,则表示该粘结剂性能较差。     

新疆伊犁托海水电站拱坝坝体变形监测分析

根据托海拱坝5号坝段、7号坝段例垂线实测资料分析，说明了新疆寒冷地区坝体采取聚胺脂喷涂施工措施后对坝体变形的影响，以及右坝肩渗漏对右坝肩岩体的影响，分析结果为托海水电站通过国家电力公司大坝安全监察中心大坝安全首次定检提供了科学依据。     

深基坑支护结构计算的有限元方法

针对软土地基的特性，本文提出了考虑土体抗力释放与结构模型随施工过程改变的新杆系有限元法，并 编制了求解支护结构内力与变形的计算程序，通过对事例分析．计算结果与实际情况非常吻合，证明了该方法的合理 性。     

液压系统广义可靠性设计

介绍了广义可靠性和有效度的基本概念，简要论述了对液压系统进行广义可靠性设计的重要性，并从可靠性设计和维修性设计两方面提出了提高液压系统有效度的具体措施。／     

氧化铝生产过程结疤溶解的研究

针对氧化铝生产过程结疤现象。研制出一种新型清洗溶剂，溶垢率可达95%，清洗效果达到《工业设备化学清洗质量标准》要求。     

深穿透复合射孔技术在中原油田的应用

深穿透复合射孔是一项把射孔与高能气体压裂两种技术有机地结合在一起的综合改造油气层的新技术。重点对它的技术原理，包括设计原理、枪身内火药燃烧气体对射孔孔眼的冲刷作用原理、火药燃烧气体射流的高能气体压裂作用原理等进行了研究与探讨，同时对它的施工工艺、现场应用等方面进行了阐述，经中原油田189口井现场应用证明，其工艺简便，成本低廉，可实现多层跨隔层使用，处理后增产效果显著，投入产出比高，可代替传统的聚能射孔技术，具有广阔的推广和应用价值。     

Improving signal prediction performance of neural networks through multiresolution learning approach.

In this paper, we extend the original work on multiresolution learning for neural networks, and present new developments on the multiresolution learning paradigm. The contributions of this paper include: (1) proposing a new concept and method of adjustable neural activation functions in multiresolution learning to improve neural network learning efficacy and generalization performance for signal predictions; (2) providing new insightful explanations for the multiresolution learning paradigm from a multiresolution optimization perspective; (3) exploring underlying ideas why the multiresolution learning scheme associated with adjustable activation functions would be more appropriate for the multiresolution learning paradigm; and (4) providing rigorous validations to evaluate the multiresolution learning paradigm with adjustable activation functions and comparing it with the schemes of multiresolution learning with fixed activation functions and traditional learning. This paper presents systematically new analytical and experimental results on the multiresolution learning approach for training an individual neural network model, demonstrates our integral solution on neural network learning efficacy, and illustrates the significant improvements on neural networks' generalization performance and robustness for nonlinear signal predictions.     

由乙腈一步法制备乙酸丁酯的研究

以丁醇和制备丙烯腈的副产物乙腈为原料 ,采用一步法合成了乙酸丁酯。通过正交实验得到了影响反应的 4种因素。确定了最佳的工艺条件为 :催化剂的量为样品质量的 40 % ;n(CH3CN)∶ n(C4 H9OH) =1∶ 1 .0 5 ;反应温度为 1 0 5℃ ;反应时间为 8h。在此反应条件下 ,乙酸丁酯的收率为 88.8% ,纯度可达 99.5 %。并用气相色谱及红外光谱对产品的纯度进行了表征     

Stability analysis of continuous-time periodic systems via theharmonic analysis

Asymptotic stability of finite-dimensional linear continuous-time periodic (FDLCP) systems is studied by harmonic analysis. It is first shown that stability can be examined with what we call the harmonic Lyapunov equation. Another necessary and sufficient stability criterion is developed via this generalized Lyapunov equation, which reduces the stability test into that of an approximate FDLCP model whose transition matrix can be determined explicitly. By extending the Gerschgorin theorem to linear operators on the linear space l₂, yet another disc-group criterion is derived, which is only sufficient. Stability of the lossy Mathieu equation is analyzed as a numerical example to illustrate the results