钢纤维喷射混凝土作为面板材料的可行性研究

钢纤维混凝土作为一种新型增强材料，以其较好的受力变形特性在水利水电，交通，海岸防护，港口及军事等诸多工程中得到了广泛的应用。针对混凝土面板堆石坝面板的受力变形特点，为改善水布垭面板堆石坝面板的受力条件，提高其防渗能力，同时方便施工，现提出采用钢纤维喷射混凝土作为水布垭面板堆石坝面板材料的新构想，并通过对钢纤维喷射混凝土的物理力学特性及堆石坝面板受力变形进行分析，为钢纤维喷射混凝土在水布垭面板堆石坝面板中的实际应用提出了建议方案。     

Laboratory study of property-modified prebaked carbon anode and application in large aluminum electrolysis cells

A kind of complex additive mainly containing Al, Mg, F, and O was prepared. The synthetical performances of the property-modified prebaked anodes containing additives were tested in laboratory. On the basis of ideal testing results obtained, a large number of industrial prebaked property-modified anodes are prepared in a large-scale aluminum company. Further more, they are all used in 160 kA prebaked anode aluminum electrolysis cells. The statistic result show that, compared with common anodes, the property-modified ones enhance current by 11.6 kg per ton aluminum averagely.     

变频电液速度控制系统的实验研究

本文基于变频调速技术,构建了一个较合理的变频电液速度控制系统,并采取模糊控制算法进行试验,实现了快速维持负载突变时液压马达转速的稳定。     

基于事例学习的建筑结构的虚拟实现

提出基于事例学习的目标规划问题,并进一步研究了建模思想的可行性和建模方法的可操作性。利用知识工程、机器学习理论,人工智能技术来存贮和运用专家的经验,实现了在虚拟环境中建筑结构设计、施工,设备的仿真试验,并可对初学者或尚无经验的设计、施工者进行培训学习。该项研究为目标规划问题开辟了基于事例学习的模型生成途径。     

A Bayesian propensity score adjustment for latent variable modeling and MCMC algorithm

The estimation of the differences among groups in observational studies is frequently inaccurate owing to a bias caused by differences in the distributions of covariates. In order to estimate the average treatment effects when the treatment variable is binary, Rosenbaum and Rubin [1983. The central role of the propensity score in observational studies for causal effects. Biometrika 70, 41-55] proposed an adjustment method for pre-treatment variables using propensity scores. Imbens [2000. The role of the propensity score in estimating dose-response functions. Biometrika 87, 706-710] extended the propensity score methodology for estimation of average treatment effects with multivalued treatments.However, these studies focused only on estimating the marginal mean structure. In many substantive sciences such as the biological and social sciences, a general estimation method is required to deal with more complex analyses other than regression, such as testing group differences on latent variables. For latent variable models, the EM algorithm or the traditional Monte Carlo methods are necessary. However, in propensity score adjustment, these methods cannot be used because the full distribution is not specified.In this paper, we propose a quasi-Bayesian estimation method for general parametric models that integrate out the distributions of covariates using propensity scores. Although the proposed Bayes estimates are shown to be consistent, they can be calculated by existing Markov chain Monte Carlo methods such as Gibbs sampler. The proposed method is useful to estimate parameters in latent variable models, while the previous methods were unable to provide valid estimates for complex models such as latent variable models.We also illustrated the procedure using the data obtained from the US National Longitudinal Survey of Children and Youth (NLSY1979-2002) for estimating the effect of maternal smoking during pregnancy on the development of the child's cognitive functioning.     

水库突发事件应急预案研究现状与关键技术初探

水库突发事件应急预案是大坝风险管理中非常重要的一个环节,是降低水库大坝风险的非工程措施.本文总结了国内水库突发事件应急预案的研究现状,并结合我国实际国情,初步提出了开展应急预案的关键技术,供大坝安全管理及科研人员参考.     

Identification of the minimum effective dose for right-censored survival data

In this paper, we consider identifying the minimum effective dose (MED) in a dose-response study when survival data are subject to random right-censorship, where the MED is defined to be the smallest dose level under study that has survival advantage over the zero-dose control. To this end, we suggest single-step-down testing procedures based on three different types of weighted logrank statistics, respectively. The comparative results of a Monte Carlo error rate and power/bias study for a variety of survival and censoring distributions are then presented and discussed. The application of the testing procedures for identifying the MED is finally illustrated by using a numerical example of prostate cancer data.     

新型水泥浆实心减轻材料FXW在固井中的应用研究

低密度水泥浆常用泡沫和漂珠作为减轻材料，但泡沫和漂珠的一个共同缺陷是承压能力有限。在现场使用时，地面密度和井下密度是不一致的，这将打破注水泥压力平衡，给固井施工带来一定的风险。为此，通过大量实验，根据颗粒紧密堆积原则，以粉煤灰、改性橡胶粉、微硅、石灰类矿物等为原料，复配出一种新型实心耐压减轻材料 FXW 。由于FXW为实心减轻材料，能够承受压力，因而能够适应井下高压条件。实验表明，FXW低密度水泥浆强度高，韧性好，可更好地满足油气井后期开发需求。     

岔河集油田开发调整的主要做法与成效

岔河集油田有多个受构造、岩性双重因素控制的中低渗透复杂断块油藏,其主要储集层为河流相沉积。油田20余年的开发历程是典型的滚动勘探开发过程。通过精细科学的地质研究,不断的实践和认识,制定出与其油田地质特点相适应的开发方针,完善了井网部署与加密、产吸剖面调整、油水井配套综合治理等一系列开发对策,并取得了比较好的开发效果。岔河集油田的开发实践对于类似油田开发不乏成功的经验。     

论理工科院校数学基础课程的创造性思维与研究性学习

文章探讨了创造性思维与数学研究性学习的各自的内涵和特性,阐述了创造性思维与数学研究性学习的内在联系,进而阐述了创造性思维和研究性学习过程对理工科院校数学基础课程的意义和影响.