非开挖设备回扩钻头的优化设计

目前在役的非开挖设备的回扩钻头存在着整体结构比例不当、碎土排送空间小、牙型排布等间距、无斜角等一些缺陷。针对这些问题,对钻头的结构尺寸、结构形式、牙型排布等方面进行了理论研究和优化设计,经过现场实际应用,延长了钻头的寿命,设备运行速度得到了提高,非开挖效率有了显著的改进。

水平定向钻进中硬岩回扩技术分析

在水平定向钻进中,回扩技术对于非开挖敷管的成功起到关键作用。介绍了几种常见非开挖工程用的回扩器,通过建立硬岩回扩器在冲击碎岩、剪切碎岩的力学模型以及讨论岩石破碎条件,重点分析了回扩过程中拉力与扭矩的关系,并对硬岩回扩参数进行优化,提出在钻机上安装传感器和流量计进行实时监测和调整,可对电力非开挖工程的现场施工起到指导作用。

导向钻进非开挖铺管施工扩回钻头的设计改进

针对导向钻进非开挖铺设地下管线施工中回扩钻头存在的口径大、包泥堵钻、进尺缓慢、切削齿不耐磨等问题,对钻头结构进行了研究,并从导向钻头、出水口、刮刀、切削齿等四个方面对钻头进行了改进。改进后的回扩孔钻头既有利于切入地层,具有导向和稳定作用,又具有切削阻力低、强度高、耐磨性好的优点,极大的提高了钻进效率。经多项工程检查,扩孔钻头平均单孔耐磨翼片磨损量为1.2～1.75mm,平均<0.5mm/km。

回转型可回收锚杆扩头施工技术

在深基坑支护工程中,提高锚杆承载力往往会加大施工成本。针对该问题,一种新型锚杆——高压喷射扩头锚杆可以解决该问题。以实例全面介绍了这种锚杆在基坑中的应用,实践证明:与内支撑体系相比,其具有很强的优越性,值得进一步开发和应用。

教育回报、收入预期与居民消费关系研究

本文研究了高等教育改革对于城镇居民家庭消费的影响。一方面,很多文献认为高校扩招增加了家庭的预期教育支出,由此产生的预防性储蓄倾向抑制了居民的消费。而另一方面,高校扩招可以使家庭成员获得更多的教育,从而提高了家庭的未来收入预期。本文通过双重差分DID方法研究了高校扩招对居民家庭消费的影响。结果发现,高校扩招之后,拥有在读高中生的家庭消费比率非但没有下降,反而有显著提高。本文认为,高校扩招后,预期收入的增加是影响居民家庭消费的主导因素。

岩石非开挖钻进技术的研究

非开挖铺设地下管线施工技术是一项广泛应用于市政建设、铁路交通、电力通讯、水利和石油天然气输送等领域的高新技术。而岩石非开挖施工则是近年来许多有实力的单位所涉足的一种施工难度大、施工技术含量高的施工领域。论述了非开挖基岩钻进的技术要点及在不同地层、不同管径施工条件下对非开挖回扩钻头的设计及选用。结合国内几个典型的施工实例,详细阐述了非开挖基岩钻进的施工工艺。展望了该技术的发展前景。

非开挖技术在供水管道施工中的应用

结合工程实践,简要介绍了非开挖技术在城市交通要道、江、河铺设地下供水管道中的应用,并指出了适用条件及施工过程中的注意事项。

浅谈定向钻进技术

定向钻进技术,由钻机驱动带钻头的钻杆按设计轨迹钻出导向孔道,然后回拖扩孔并穿管完成施工,是破坏少、干扰低,安全高效的管道施工技术措施。

非开挖技术在昆明呈贡昆洛路综合管沟施工中的应用

给合昆明市综合管沟穿越昆玉高速公路工程施工实例,介绍了非开挖技术在管沟拉索施工过程中的导向孔施工技术、钻孔回扩技术及管线回拖技术,为钢箱对拉隧道施工应用非开挖技术总结出一套切实可行的施工方法。

广西北海银滩(中区)污水管非开挖定向钻铺管技术及泥浆工艺

广西北海银滩(中区)污水管排管工程中一段污水管位于北海海滩上。该段工程的地层为松散的砂、砾石层,地下水位高,同时受海水侵蚀影响,无法采用传统开挖铺管工艺施工,非开挖定向钻铺管成为首选。主要介绍了在此情况下的定向钻铺管技术及泥浆工艺,分析和探讨了泥浆在此类地层的定向钻进施工中的重要作用。

濒海地区复杂地质条件下的污水管道定向钻施工技术

目前定向钻施工技术在普通地层中施工时,其施工工艺已较成熟,但对于濒海地区同时含有岩层和流砂层等复杂地层,该技术还存在很多不足。结合工程实践,针对复杂地层中进行管道铺设时采用的定向钻技术进行研究,旨在通过濒海地区复杂地质条件下的污水管道定向钻施工改进来使其施工技术标准化,进而保障施工质量。

中石油西气东输二期武汉倒水河穿越工程

本文简要介绍了威猛D750x900水平导向钻机在中石油西气东输二期武汉倒水河穿越工程中的应用过程，表明了威猛水平导向钻机的高水平和高质量。

INCREMENTAL AUGMENT ALGORITHM BASED ON REDUCED Q-MATRIX

Reduced Q-matrix （Qr matrix） plays an important role in the rule space model （RSM） and the attribute hierarchy method （AHM）. Based on the attribute hierarchy, a valid/invalid item is defined. The judgment method of the valid/invalid item is developed on the relation between reachability matrix and valid items. And valid items are explained from the perspective of graph theory. An incremental augment algorithm for constructing Qr matrix is proposed based on the idea of incremental forward regression, and its validity is theoretically considered. Results of empirical tests are given in order to compare the performance of the incremental augment algo-rithm and the Tatsuoka algorithm upon the running time. Empirical evidence shows that the algorithm outper-forms the Tatsuoka algorithm, and the analysis of the two algorithms also show linear growth with respect to the number of valid items. Mathematical models with 10 attributes are built for the two algorithms by the linear regression analysis.

选用较小钻机进行岩石水平定向钻进

本文介绍了岩石中实现水平定向钻进的技术特点，遇到的主要问题，解决办法和现状。

水平定向钻拉管技术在铁煤集团红房污水泵房排水管道工程中的应用

水平定向钻拉管技术是近年发展起来的一项高新技术,适用于城市道路、公路、铁路、河流及其它不宜在大开挖施工地段的管道穿越工程。铁煤集团红房污水泵房排水管道为PE100(SDR111.6MPa)630×57.2,管道有50m长要通过村道及居民围墙、房屋的下面,为保证当地居民在管道工程施工过程中,正常通行、日常生活等不受影响,采用GD280B-L型水平定向钻机进行管道穿越施工。它与传统大开挖埋管施工方式相比,具有施工速度快、精度高、成本低等优点,在未来的城市地下管线工程施工中将得到越来越多的应用。

夏季抗燃油水分高原因分析与治理

探讨某燃机电厂新安装的液压油系统,每年进入夏季高温期间,液压油的水分指标上升甚至超标。经分析查找出原因,并对现场设备进行简单技术改造,使问题得以解决。

SOC estimation based on data driven exteaded Kalman filter algorithm for power battery of electric vehicle and plug-in electric vehicle

State of charge(SOC)estimation has always been a hot topic in the field of both power battery and new energy vehicle(electric vehicle(EV),plug-in electric vehicle(PHEV)and so on).In this work,aiming at the contradiction problem between the exact requirements of EKF(extended Kalman filter)algorithm for the battery model and the dynamic requirements of battery mode in life cycle or a charge and discharge period,a completely data-driven SOC estimation algorithm based on EKF algorithm is proposed.The innovation of this algorithm lies in that the EKF algorithm is used to get the SOC accurate estimate of the power battery online with using the observable voltage and current data information of the power battery and without knowing the internal parameter variation of the power battery.Through the combination of data-based and model-based SOC estimation method,the new method can avoid high accumulated error of traditional data-driven SOC algorithms and high dependence on battery model of most of the existing model-based SOC estimation methods,and is more suitable for the life cycle SOC estimation of the power battery operating in a complex and ever-changing environment(such as in an EV or PHEV).A series of simulation experiments illustrate better robustness and practicability of the proposed algorithm.

Life Cycle Input-Output Analysis Extended to Use, Disposal, and Recycling Stages Applied to Embodied CO2 Emissions of a Refrigerator

Input-output analysis is widely employed to analyze inventories of a product＇s embodied energy and environmental burdens. However, input-output analysis focuses only on the production stage and ignores other life cycle phases. Input-output analysis is not exactly a LCA （life cycle assessment） method in the strict sense of ISO 14040 standards, which must cover all stages of a product＇s life cycle, ＂from the cradle to the grave＂, so to speak. A tiered hybrid LCA is a useful tool that covers all life cycle stages by combining a process analysis with the input-output analysis method. This study aims to extend input-output analysis to the use, disposal, and recycling stages by using matrix-based method. The new method is applied to the analysis of the embodied CO2 emissions of a refrigerator as a case study. The entire life cycle C02 emissions are estimated to be 2.9 tons, including indirect emissions, and the reduction in CO2 emissions due to recycling steel scrap is calculated as 48.5 kg. The authors conclude that the new method enables a consistent inventory analysis for all life cycle stages by combining process and input-output methods.

Experimental investigation on the energy-saving diffuser of a main fan

The main fan diffuser in a coal mine is an energy-recycling equipment with a dynamic energy loss for the main fan. Engineering practices and related researches show that the body structures of three types of diffusers are irrational. To solve the problem, an energy-saving diffuser is designed on the basis of the velocity potential theory. Under conditions of inlet velocity from 7 m/s to 32 m/s, 7 condition experiments using the energy-saving diffuser of 2.31 AER （area-enlarging ratio） and 5 condi- tion experiments using the energy-saving diffuser of 2.00 AER were conducted. Through a comparative analysis of the experi- ments, the results show that the COP （coefficient of performance） of the energy-saving diffuser of 2.31 AER is better than that of the energy-saving diffuser of 2.00 AER.

Performance of Spread Spectrum Watermarking in Autoregressive Host Model Under Additive White Gaussian Noise Channel

A large class of multimedia and biomedical signals can be modeled as Autotegessive （AR） random processes. Pefformance of watermarking embedding algorithms utilizing this host model is still left unexplored. The authors investigate the decoding perform-nance of Spread Spectrum （SS） embedding algorithm in the standard Additive White Gaussian Noise （AWGN） channel with the host signal being modeled as AR process. The SS embedding algorithm also use linear interference cancelation in the subspace spanned by watermark pattern. They study the influence of design parameters on the decoding performance. The analytic result is verified by Monte Carlo simulation on synthesized AR process. The result may be helpful to design watermarking system for speech, biomedical and image signals.