清平磷矿客货两用架空索道设计

系统介绍了四川清平磷矿客货两用架空索道工艺系统方案的确定及线路、上下站等主要构成部分的设备配置、方案优化与主要设备的性能、技术参数，还对系统中的安全设施、事故救护作了说明。     

能量"三环节"理论在原油蒸馏装置扩能改造中的应用

中国石化扬子石化股份有限公司炼油厂在第一套常减压蒸馏装置扩能改造中，使用了多项节能技术以实现能量的优化利用。本文以标定数据为基础，运用能量“三环节”理论对该装置的用能状况进行了计算和分析，从能量利用角度对装置的扩能改造效果进行了评价，并为装置的进一步优化能量利用提出了相应措施。     

VSP旅行时反演应用于VSP—CDP转换

非零偏移距垂直地震剖面(VSP)模型的制作是非零偏移距VSP资料处理的关键环节之一,是VSP-CDP转换的基础。本文试用旅行时反演修正非零偏移距VSP的模型,以加速模型的制作过程,提高非零偏移距VSP的处理速度。用合成VSP资料试算表明:旅行时的随机误差对模型的制作影响不大;只要能较准确地确定界面位置,用旅行时反演修改制作非零偏移VSP模型是可行的。本文还探讨了初始模型的不同选择方法,并将旅行时反演用于实际VSP资料的处理。结果表明,大大地节省了非零偏移距VSP资料的处理时间。     

Modelling topology optimization problems as linear mixed 0–1 programs

This paper deals with topology optimization of discretized continuum structures. It is shown that a large class of non‐linear 0–1 topology optimization problems, including stress‐ and displacement‐constrained minimum weight problems, can equivalently be modelled as linear mixed 0–1 programs. The modelling approach is applied to some test problems which are solved to global optimality. Copyright © 2003 John Wiley & Sons, Ltd.     

2006年SEG年会反映的各向异性研究新进展

介绍了2006年SEG年会上所反映的各向异性研究的新进展，主要包括：提高速度分析精度的各向异性速度分析参数正交化方法；影响裂隙储层预测的地震波动力学与运动学特征差异分析；验证现行裂隙硬币理论模型可靠性的不规则裂隙有效弹性参数计算分析；提高计算效率的波场延拓各向异性参数参考值优选Lloyd算法；常见TTI介质不同成像方法试验效果的比较。     

Calendar maintenance of arbitrarily structured systems

A semi-Markov model is constructed that describes an arbitrarily structured multicomponent technological system and takes into account its calendar maintenance. Using an aggregation algorithm, approximate values of stationary reliability characteristics and an optimal term of maintenance work are determined for the system. __________ Translated from Kibernetika i Sistemnyi Analiz, No. 2, pp. 69–86, March–April 2006.     

Predictive modeling of mercury speciation in combustion flue gases using GMDH-based abductive networks

Modeling mercury speciation is an important requirement for estimating harmful emissions from coal-fired power plants and developing strategies to reduce them. First-principle models based on chemical, kinetic, and thermodynamic aspects exist, but these are complex and difficult to develop. The use of modern data-based machine learning techniques has been recently introduced, including neural networks. Here we propose an alternative approach using abductive networks based on the group method of data handling (GMDH) algorithm, with the advantages of simplified and more automated model synthesis, automatic selection of significant inputs, and more transparent input–output model relationships. Models were developed for predicting three types of mercury speciation (elemental, oxidized, and particulate) using a small dataset containing six inputs parameters on the composition of the coal used and boiler operating conditions. Prediction performance compares favourably with neural network models developed using the same dataset, with correlation coefficients as high as 0.97 for training data. Network committees (ensembles) are proposed as a means of improving prediction accuracy, and suggestions are made for future work to further improve performance.     

利用双种群遗传算法进行数值试井自动拟合

遗传算法以随机化技术为指导，通过对整个解空间的高效搜索而得到全局最优解，当解空间较大时，常规遗传算法难以同时保证搜索速度和最优解的精度。针对这种缺陷提出了应用双种群遗传算法，即利用具有不同搜索策略的2个种群进行联合搜索，既保证了最优解的精度，又提高了搜索速度，将其应用于数值试井自动拟合解释，比常规遗传算法能节省50％以上的计算时间。     

火电机组运行优化系统的现状与展望

简单回顾了国内外在火电机组运行优化领域的研究历程，列举了目前国内外市场上针对火电机组的各种主流运行优化产品的功能特点和应用情况，分析了国外引进产品和国内自主研发产品在中国当前市场环境下各自的优势和劣势。介绍了当前运行优化系统在国内电站机组的应用现状，阐述了国内外运行优化系统在实际应用中存在的问题，并提出了相应的改进意见。对机组运行优化系统的未来发展进行了展望，指出机组运行优化系统将利用先进技术设备和信息平台，与电站管理紧密结合，在日益规范的市场中不断发展完善，为提高电站经济性发挥更大的作用。