洛阳热电厂主厂房地基处理方案的论证

通过对洛阳热电厂拟选择的地基处理方案进行比较,并结合该电厂施工实例论证了φ800/1600扩底钢筋混凝土灌注桩是最适于该电厂及相似地区的地基处理方式。     

浮基多刚体系统动力分析

引入浮体势流流固耦合理论和多刚体力学的凯恩方法对浮基多刚体系统进行动力分析。考虑入射规则波的影响和上部作业物体进行回转作业、升降作业的影响，建立了浮基多刚体系统的运动方程，讨论了浮基多刚体系统运动方程在三类情况下的求解途径。     

提高曲面近似展开精度的方法与实现

通过对不可展曲面近似展开精度的研究，提出了根据曲面曲率的大小对曲面自动进行网格划分，通过对综合展开误差数据场进行数据拟合来选取最优展开基点，基于空间曲面与其展开图间近似的等距变换关系进行展开样形的误差矫正等3种方法，这几种方法的实现在不同程度上有效地减小了曲面的近似展开误差，提高了曲面的近似展开精度。     

A frame-based knowledge representation model and its mapping to nested relations

The first part of this paper introduces the basic constructs of a frame representation model and gives a formal definition for them. Subsequently the nested relational model (NF²) is described as an extension of the classical relational model to support relation-valued attributes. In the second part of this paper both models are compared with each other and a mapping of frame representation structures to NF² structures is specified. The structural similarities between frames and NF² relations are made clear and it is shown that their main difference is due to the type polymorphism introduced by the concept hierarchy of the frame model. This causes type collisions to occur in the strictly typed NF² model when frames are directly mapped to NF² structures. Two solutions to this problem are suggested and compared. The paper concludes with a reformulation of query operations of the frame model in terms of NF² algebra operations.     

水分对高碱值硫化烷基酚钙结构和清净性的影响

采用傅立叶红外光谱仪，分析了水分对清净剂高碱值硫化烷基酚钙结构组成的影响；采用热管氧化试验法和曲轴箱模拟试验法，考察了高碱值硫化烷基酚钙在加水前后清净性能的变化；采用四球试验机和高频往复试验机，分析了水分对高碱值硫化烷基酚钙润滑性能的影响。结果表明，油中的水含量对高碱值硫化烷基酚钙的水解安定性能影响较大，并且随着水含量的增加，油品的清净性能和抗磨性能变差。     

无差拍控制提高变速异步风力发电系统的故障承受能力

变速风力发电机对于电网扰动、故障以及电网电压跌落非常敏感，当上述情况发生时风力发电机将从电网切除，直到电网恢复正常才能重新投入运行。如何在电网发生扰动时保持风力发电机的正常运行是一个有挑战性的课题。未来的电网规范甚至要求在电网发生故障时风力机组仍能保持运行，这就要求必须安装保证风电机组低电压运行的控制装置。文中针对采用全载换流器与电网进行连接的异步风力发电机组提出了相应的风电机组低电压控制器及控制策略，无须进行硬件改造即可实现电网故障情况下风电机组不退出运行。其中，风电机组电气子系统控制器基于无差拍控制策略进行设计。算例给出了300 kW的风电机组在30%电压跌落情况下的暂态过程，没有加入控制器之前风电机组将停机，加入之后则可以保持运行，验证了所提方法的正确性。     

垫层载荷试验应注意的几个问题

介绍了垫层上载荷试验的类型，通过工程实例对不同类型垫层上的载荷试验应注意的问题进行了分析和探讨，这对通过载荷试验确定双层地基承载力具有一定的实际意义，可供同类工程参考借鉴。     

A hierarchical model for structure learning based on the physiological characteristics of neurons

Almost all applications of Artificial Neural Networks (ANNs) depend mainly on their memory ability. The characteristics of typical ANN models are fixed connections, with evolved weights, globalized representations, and globalized optimizations, all based on a mathematical approach. This makes those models to be deficient in robustness, efficiency of learning, capacity, anti-jamming between training sets, and correlativity of samples, etc. In this paper, we attempt to address these problems by adopting the characteristics of biological neurons in morphology and signal processing. A hierarchical neural network was designed and realized to implement structure learning and representations based on connected structures. The basic characteristics of this model are localized and random connections, field limitations of neuron fan-in and fan-out, dynamic behavior of neurons, and samples represented through different sub-circuits of neurons specialized into different response patterns. At the end of this paper, some important aspects of error correction, capacity, learning efficiency, and soundness of structural representation are analyzed theoretically. This paper has demonstrated the feasibility and advantages of structure learning and representation. This model can serve as a fundamental element of cognitive systems such as perception and associative memory.     

Necessary optimality conditions in a nonsmooth control problem with variable structure

An optimal control problem with nonsmooth performance criterion described by a system of ordinary differential equations is considered. Necessary first-order optimality conditions are obtained.