阿尔塔什水利枢纽工程深厚砂砾石覆盖层混凝土防渗墙施工技术研究

阿尔塔什水利枢纽工程是我国在建面板堆石坝工程之一,其深厚的砂砾石覆盖层和庞大的坝体,在施工和运行过程中均会对防渗墙的应力应变产生较大的影响,处理不好直接会影响到大坝整体防渗效果和工程安全。如何在保证施工质量的前提下,优化施工方案,改善防渗墙应力状况,是施工技术研究重点。通过对防渗墙的受力特性、深厚覆盖层的工程特性分析和研究,从防渗墙成墙槽段划分、墙段连接技术、强漏失地层成槽技术和固壁泥浆配比等关键技术上进行优化和改进,有效的消减了防渗墙在坝体填筑和蓄水过程中的应力应变集中,保证防渗墙的成墙质量和运行效果。     

Preparation and properties of deep dye fibers from poly(ethylene terephthalate)/SiO2 nanocomposites by in situ polymerization

In this study, poly(ethylene terephthalate) (PET)/SiO₂ nanocomposites were synthesized by in situ polymerization and melt‐spun to fibers. The superfine structure and properties of PET/SiO₂ fibers were studied in detail by means of TEM, DSC, SEM, and a universal tensile machine. According to the TEM, SiO₂ nanoparticles were well dispersed in the PET matrix at a size level of 10–20 nm. The DSC results indicated that the SiO₂ nanoparticles might act as a marked nucleating agent promoting the crystallization of the PET matrix from melt but which inhibited the crystallization from the glassy state, owing to the “crosslink” interaction between the PET and SiO₂ nanoparticles. The tensile strength of 5.73 MPa was obtained for the fiber from PET/0.1 wt % SiO₂, which was 17% higher than that of the pure PET. The fibers were treated with aqueous NaOH. SEM photographs showed that more and deeper pits were introduced onto PET fibers, which provided shortcuts for disperse dye and diffused the reflection to a great extent. According to the K/S values, the color strength of the dyeing increased with increasing SiO₂ content. It is found that the deep dyeability of PET fibers was improved greatly. © 2007 Wiley Periodicals, Inc. J Appl Polym Sci 2007     

某综合楼深基坑信息化施工

开挖深度达 17m的深基坑施工中采用深基坑信息化施工技术进行安全监测。现场监测在确保基坑支护结构及邻近建筑的安全同时根据监测所提供的信息 ,及时组织了基坑抢险 ,保证基坑开挖工作顺利完成。     

Increasing productivity and protein content using early-maturing rices and efficient nitrogen management

Germplasm with shorter duration than that of the currently grown varieties is being generated to maximize productivity of irrigated rice. However, short-duration varieties often produce yields lower than the medium- and long-duration varieties. Experiments were conducted during the 1980–82 dry and wet seasons to increase productivity through the use of very early-maturing rices and the improved management of nitrogen (N) fertilizers.Results over three years showed that IR58 and IR9729-67-3 (growth duration 100 ± 5 days) yield as well as or higher than IR36 although earlier maturing. They generally had a higher productivity (kg ha^–1 day^–1) than IR36 (110 ± 5 days).Three years' data suggest that the improved timing of broadcast applications of urea in split doses increased grain yield comparable with the basal incorporation of slow-release sulfur-coated urea (SCU) or deep point-placement of urea supergranules (USG).Results on elite breeding lines showed that the early-maturing IR9729-67-3 produced higher protein yield ha^–1 than longer duration varieties such as IR8 and IR42 in the dry season. Furthermore, contrary to earlier results, single basal incorporation of slow-release SCU increased the protein yield of rice by 53 kg ha^–1 and deep point-placement of USG by 43 kg ha^–1 over split application of prilled urea.     

锦屏一级水电站左岸底层灌浆平洞深孔帷幕灌浆施工

锦屏一级水电站作为世界第一高的拱坝,在超高的水头和复杂的地质条件下,在底层灌浆洞中进行了超过170 m的深孔帷幕灌浆。施工中克服了各种不利条件,解决了多种非常规的施工技术难题,其经验可为其他类似工程提供参考。     

248nm深紫外光刻胶

本文从化学增幅技术的产生，深紫外248nm胶主体树脂及PAG发展历程、溶解抑制剂、存在的工艺问题及解决途径多个方面综述了深紫外248nm胶的发展与进步．     

大数据系统和分析技术综述

首先根据处理形式的不同,介绍了不同形式数据的特征和各自的典型应用场景以及相应的代表性处理系统,总结了大数据处理系统的三大发展趋势;随后,对系统支撑下的大数据分析技术和应用(包括深度学习、知识计算、社会计算与可视化等)进行了简要综述,总结了各种技术在大数据分析理解过程中的关键作用;最后梳理了大数据处理和分析面临的数据复杂性、计算复杂性和系统复杂性挑战,并逐一提出了可能的应对之策.     

基于字的分布表征的汉语基本块识别

汉语的基本块识别是汉语句法语义自动分析中的重要任务之一。传统的方法大多数直接将汉语基本块识别任务转化成词层面的一个序列标注问题,采用CRF模型来处理。虽然,在许多评测中得到最好的结果,但基于词为标注单位,在实用中受限于自动分词系统以及汉语词特征的稀疏性。为此,该文给出了一种以字为标注单位,以字为原始输入层,来构建汉语的基本块识别的深层神经网络模型,并通过无监督方法,学习到字的C&W和word2vec两种分布表征,将其作为深层神经网络模型的字的表示层的初始输入参数来强化模型参数的训练。实验结果表明,使用五层神经网络模型,以[-3,3]窗口的字的word2vec分布表征,其准确率、召回率和F值分别达到80.74%,73.80%和77.12%,这比基于字的CRF高出约5%。这表明深层神经网络模型在汉语的基本块识别中是有作用的。     

重质原料油生产轻烯烃的Ⅱ型催化裂解工艺和催化剂

Ⅱ型催化裂解是以重质油为原料生产丙烯、异丁烯和异戊烯等轻烯烃, 并同时兼产高辛烷值优质汽油的新催化工艺。该工艺使用新研制的新型择形催化剂, 可以加工减压馏分油、减压馏分油掺渣油或二次加工油以及全常压渣油, 并成功地进行了工业化试验。以临胜减压馏分油掺左右脱沥青油为原料, 可以得到12.52wt%~14.43wt%的丙烯和11.23wt%~11.41wt%的丁烯,同时还得到40wt%左右93号优质汽油。型催化裂解工艺开创了一条以重质油为原料生产轻烯烃和高辛烷值优质汽油的新途径     

基于自记忆原理的深基坑位移预测方法

传统灰色GM(1,1)预测模型对非负递增时间序列有较好的预测精度,但对波动幅度较大的时间序列预测精度较低。为了提高预测精度,本文在趋势曲线模型和自记忆理论的基础上,建立趋势曲线-自记忆组合预测模型,将该模型应用于深基坑位移预测中,并与灰色GM(1,1)预测模型和趋势曲线预测模型比较,该模型具有较高的预测精度。