Analysis on the Characteristics and Development Trends of the Support Technology of High Ground Stress Tunnels in China北大核心CSCD

Combining the present situation and development trend of different tunnel support technologies at home and abroad, this paper analyzes the problems of rockburst in hard rock tunnels and large deformation in soft rock tunnels caused by high ground stress. It is concluded that: 1) regarding the rockburst problem, the current support technology is mainly influenced by the rock burst mechanism which is dominated by static factors, and so the used support components are generally of smaller deformation performance and "passive support" properties; 2) as the rockburst is the result of dynamic-static stress coupling, and only the anchor bolt has the "active support" attribute in the current "shotcrete+anchor bolt+wire net" support system, so the best support system should have the two functions of active support and energy release in terms of the rockburst problem, and the key focus of the research and development is anchorage members; 3) there are three main support types for large deformation in soft rock tunnels, e.g. the heavy support, layered support and yielding support. Among them, the heavy support system in underground cavern with large deformation is easy to induce excessive surrounding rock pressure, and so the applicable conditions are limited. The layered support system is still not the best choice due to its immature theoretical study, difficult determination of the thickness value and the installation time of each support layer and the interference to construction progress. With the characteristics of timely support and yielding while supporting, the yielding support system can give full play to the performance values of surrounding rocks and supporting materials, and make both of them reach the optimal state, so it is the best choice for supporting the soft rock tunnels with large deformations. © 2018, Editorial Office of "Modern Tunnelling Technology". All right reserved.     

Numerical Simulation of Advanced Geological Forecasting Based on Multi- Source Seismic Interferometry北大核心CSCD

For existing advanced geological forecasting, the forecast distance is short and the test frequency is high, increasing test and construction risks. Since various methods have different requirements for the test environ-ment, preparation work can be tedious and result in a long construction time thereby affecting normal construction.A new advanced geological forecast technique based on multi-source seismic interferometry for tunnels is proposed.This technique uses the blast at one end of tunnel as a centrum and receives the signal at the other end of the tun-nel, therefore allowing advanced geological forecasting of the unexcavated tunnel part by relative processing and im-aging. A numerical simulation of this kind of geological forecasting using the finite difference method to simulate two kinds of unfavorable geological bodies (karst and a fault) predicted them accurately and verified the effective-ness and accuracy of this geological forecasting method. © 2018, Editorial Office of "Modern Tunnelling Technology". All right reserved.     

Experimental Study on Mechanical Behaviors of Prefabricated Column-Base Joint with Grouted Sleeves Connecting Longitudinal Reinforcements in Tunnels北大核心CSCD

In recent years, large shield tunnels with internal double-decked lanes have been developing rapidly in the field of highway tunnels, and prefabricated elements are increasingly adopted in internal structure. Based on the columns-base joint in Zhuguanglu tunnel, which is under construction, 2 full-scale specimens are designed for the quasi-static test, one specimen is connected with grout sleeve splicing and the other is cast in place. The test results show that: the bearing capacity of specimen with grout sleeve splicing is equal to that of cast-in-situ specimen, but its ductility and energy dissipation capacity are worse than that of the cast-in-situ specimen. And for the specimen with grout sleeve splicing, there exists crack concentration on the area above the sleeve. The crack width is too larger in this area. © 2018, Editorial Office of "Modern Tunnelling Technology". All right reserved.     

公路隧道双洞互补式通风适用性分析

为研究公路隧道双洞互补式通风的适用性,文章基于隧址海拔和温度、隧道长度和纵坡、隧道交通量和交通组成、隧道双洞间距等因素对互补式通风负荷比及通风效果的影响进行计算分析。研究结果表明:当隧道上下行通风负荷比大于1.5或隧道单向纵坡绝对值在1.5%~2.0%之间时,适宜采用互补式通风;隧道长度在4.5~6 km之间时,采用双洞互补式通风最经济实用;交通量和交通组成的影响关系显示隧道大型车混入率在35%~50%之间时宜考虑采用互补式通风;双洞隧道适合采用互补式通风的最小间距为30 m。     

轴对称解对隧道衬砌水压力计算的适用性研究

文章根据渗流理论推导了隧道衬砌水压力的轴对称解,并利用数值分析方法研究了轴对称解对不同形状隧道断面与浅埋隧道的适用性.研究结果表明:轴对称解适用于非圆形隧道断面衬砌水压力的估算;隧道断面形状对衬砌水压力折减系数的影响较小,可以忽略不计,其影响大小主要由衬砌与围岩的渗透系数比值决定.对于浅埋低水头隧道,用轴对称解计算的毛洞流量Qm与数值解比较,其误差较大,最大误差为36.5％;但用来计算衬砌水压力p1以及衬砌后水流量Q1时,误差相对较小,最大误差为6.3％,特别是利用轴对称解得出的衬砌水压力值与利用数值解得出的衬砌水压力特征值最大误差仅为3.4％.     

构建西江现代物流体系 打造世界加工制造次中心

文章基于当前产业结构大调整背景,提出广西要在迎接产业转移的竞争中胜出,必须着力构建以西江水运为龙头的现代物流体系,从而把西江经济带打造成为与＂珠三角＂这一世界加工制造中心紧密联动的加工制造次中心。     

汶川地震震中区高速公路隧道超前地质预报方法

映汶高速公路公路位于四川汶川大地震震中,受地震强烈构造作用影响,隧址区岩体裂隙发育,松散破碎,存在构造富水,地震垮塌堆积体众多,地质条件极为复杂。文章根据本工程隧道的工程地质问题,通过对国内外隧道超前地质预报常用方法的分析,提出了针对本工程的隧道超前地质预报方案,并对地质预报的实施应用及效果进行了举例说明。     

有轨电车氢燃料电池系统通风散热方法研究

为解决有轨电车氢燃料电池系统的散热问题,文章提出一种新型车载氢燃料电池系统通风散热方法,分析了该方法的散热原理和控制策略,并对通风散热结构进行了详细介绍.该车载氢燃料电池系统通风散热方法提高了系统散热效率,降低了散热风机能耗.     

冀东南堡油田1号人工端岛无填料振冲加固地基的质量控制

无填料振冲加固地基在冀东南堡油田1号人工岛工程中的实践,充分证明运用质量控制理论,结合施工方案、参数控制、抓好关键施工控制点是质量管理的重要保证,已完成的预处理区5万m2无填料振冲加固地基工程质量全部达到预期效果,为今后施工提供了有益的经验。     

Real-Time Fault Diagnosis for Gas Turbine Blade Based on Output-Hidden Feedback Elman Neural Network

In order to remotely monitor and maintain large-scale complex equipment in real time, China Telecom plans to create a total solution that integrates remote data collection, transmission, storage, analysis and prediction. This solution can provide manufacturers with proactive, systematic, integrated operation and maintenance service, and the data analysis and health forecasting are the most important part. This paper conducts health management for the turbine blades. Elman neural network, and improved Elman neural network, i.e., outputhidden feedback (OHF) Elman neural network are studied as the main research methods. The results verify the applicability of OHF Elman neural network.