文登电站TBM掘进效率的影响因素分析

TBM在我国的隧道和水电站施工中应用越来越多,在施工时其影响掘进效率的因素有很多.本文主要从工程地质因素、掘进模式和掘进参数的选择和机器故障方面进行研究,根据文登水电站项目TBM施工得出了以上几个因素的具体影响过程,有利于施工的高效率和高安全性.     

城市地铁开敞式TBM施工的几点建议

本文以重庆轨道交通6号线一期工程TBM试验段为例,通过对施工中出现的问题进行总结,然后针对问题出现的原因结合施工条件、方案选择、设备设计等因素进行分析,阐述了城市地铁施工中应注意的要点,得出城市地铁开敞式TBM施工的建议,为类似工程提供借鉴。     

大伙房水库引水工程TBM1标段施工影响因素分析

根据辽宁大伙房引水隧洞的TBM1—1标段的施工经验进行总结并分析了影响TBM掘进的主要因素，对后期以及其它标段的TBM施工有一定的指导意义和实际应用价值。     

大伙房水库引水工程TBM 1标段施工影响因素分析

根据辽宁大伙房引水隧洞的TBM1-1标段的施工经验进行总结并分析了影响TBM掘进的主要因素,对后期以及其它标段的TBM施工有一定的指导意义和实际应用价值。     

小半径曲线TBM隧道的掘进问题分析

深圳六号线民乐停车场出入线隧道由于其转弯半径较小的特点,使得小半径曲线隧道周围的地层相对于直线型隧道而言受到扰动很大、TBM掘进轴线难以控制、TBM掘进轨迹纠偏难度很大以及洞内测量难度大,通过铰接装置、扩挖刀的使用以及TBM掘进轴线预偏设置等方法解决该隧道出现的上述问题,并就TBM掘进轨迹纠偏技术进行了探讨.     

开敞式TBM在城市环境下快速施工的优化与改进

为了解决开敞式TBM在城市环境下施工中面临的难题(小曲线半径隧道施工问题,泥岩中快速施工的问题等),经过科研攻关,对开敞式TBM进行了一些优化和改进,主要在TBM的刀盘刀具、后配套、碴土运输系统、撑靴系统和降尘设备等方面进行了一些改进和优化,实践证明,对开敞式TBM设备的改进一定程度上满足了泥岩段快速施工的需求,为今后类似地质状况下的TBM施工提供了一些借鉴。     

敞开式TBM掘进初期典型问题的分析与探讨

以辽西北供水工程敞开式TBM施工为例,通过掘进初期TBM主机振动大、刀具更换频繁和后配套设备故障率高等问题的原因分析,提出了相应的处理措施,给出了一些关于TBM管理的建议,对提高TBM利用率、降低TBM故障率、保证施工进度提供借鉴。     

TBM掘进参数分布规律及高效掘进技术研究

敞开式TBM在引水隧洞施工中应用广泛,其掘进参数分布规律的研究对指导TBM高效稳定掘进具有积极意义。该文结合北疆供水二期工程,根据现场实际施工情况,统计5km左右的掘进参数数据进行研究。在此基础上,分析了TBM掘进参数随里程的变化情况及其与围岩类别的分布规律;对掘进参数间的相关关系进行分析研究,建立各参数与独立参数之间的回归关系;最后,优化TBM掘进参数,确立高效掘进范围。结果表明：TBM掘进时,围岩类别的变化影响掘进效率的稳定性,Ⅲa类围岩更适合TBM掘进;在TBM掘进参数中,确定独立参数为推力和刀盘转速,通过回归分析,建立独立参数与其他参数的回归模型;优化后Ⅱ～Ⅴ类围岩的掘进速度分别为57～109mm/min、50～103mm/min、51～105mm/min、46～67mm/min和44～55mm/min。     

浅析巷道快速掘进影响因素

指出河曲县煤矿平巷掘进的现状及与国有重点煤矿现状的差距,并分析出影响巷道快速掘进的因素,并探讨了煤矿平巷掘进今后的发展趋势,以提高平巷施工技术,加快掘进速度。     

基于IPSO-BP混合模型的TBM掘进参数预测

通过TBM上升段数据预测稳定段的掘进参数,可以在每个掘进循环的起始阶段预测出各掘进参数的建议值,辅助进行TBM掘进参数的设置和优化调整。提出一种基于改进粒子群算法优化BP神经网络(Improvedparticle swarm optimization-back propagation,IPSO-BP)的TBM掘进参数预测模型,采用自适应惯性权重对标准PSO算法进行改进,并基于改进PSO算法对BP网络的连接权值和偏置进行优化。基于吉林引松工程TBM3标段802 d的TBM运行数据对训练集和测试集进行划分。选取TBM掘进上升段前30 s的刀盘扭矩、贯入度、刀盘功率、推进速度、总推进力5个掘进参数变化特征(均值和线性拟合斜率),以及岩性、围岩分级和地下水活动情况3个地质参数作为模型的输入,并通过试验法确定模型的3个关键超参数(隐含层节点数、学习率和粒子群种群规模),预测稳定掘进时的推进速度v、总推进力F和刀盘扭矩T。结果表明,所提出的模型对TBM稳定掘进段参数的预测拟合优度均达0.85以上,平均绝对百分误差均小于12.68%,相比于BP模型和PSO-BP模型具有更高的预测精度。     

QPSO-ILF-ANN-based optimization of TBM control parameters considering tunneling energy efficiency

In recent years, tunnel boring machines (TBMs) have been widely used in tunnel construction. However, the TBM control parameters set based on operator experience may not necessarily be suitable for certain geological conditions. Hence, a method to optimize TBM control parameters using an improved loss function-based artificial neural network (ILF-ANN) combined with quantum particle swarm optimization (QPSO) is proposed herein. The purpose of this method is to improve the TBM performance by optimizing the penetration and cutterhead rotation speeds. Inspired by the regularization technique, a custom artificial neural network (ANN) loss function based on the penetration rate and rock-breaking specific energy as TBM performance indicators is developed in the form of a penalty function to adjust the output of the network. In addition, to overcome the disadvantage of classical error backpropagation ANNs, i.e., the ease of falling into a local optimum, QPSO is adopted to train the ANN hyperparameters (weight and bias). Rock mass classes and tunneling parameters obtained in real time are used as the input of the QPSO-ILF-ANN, whereas the cutterhead rotation speed and penetration are specified as the output. The proposed method is validated using construction data from the Songhua River water conveyance tunnel project. Results show that, compared with the TBM operator and QPSO-ANN, the QPSO-ILF-ANN effectively increases the TBM penetration rate by 14.85% and 13.71%, respectively, and reduces the rock-breaking specific energy by 9.41% and 9.18%, respectively.     

TBM掘进长大隧洞投标报价策略的探讨

以某工程为例,通过对招标文件、专用条款、技术条款、工期及进度指标分析、TBM采购方式、业主招标控制价价格等因素评审,结合类似项目已完工程TBM掘进工程成本,制订了项目投标报价策略,以便工程应用。     

高强度围岩隧洞TBM刀具磨损规律研究

刀具磨损是影响TBM掘进效率的重要因素,该文以北疆供水二期工程XEVIII标段隧洞为依托,开展高强度围岩条件下刀具磨损规律研究.该标段已掘进段围岩强度最大为160MPa,平均为120MPa.根据掘进过程中的刀具磨损统计资料,分析不同刀位的刀具磨损值、围岩强度和掘进参数对刀具磨损的影响以及不同掘进参数对刀具磨损的敏感度,...     

泥岩地质条件下TBM快速掘进技术

为提高TBM在泥岩地质条件下的掘进速度,提高施工效益,本文从防止泥岩遇水软化结泥、掘进参数控制及洞内施工环境控制这三个方面介绍TBM在这种围岩中掘进的施工措施及技术,实践证明:通过设备改造和采用合理的掘进参数,能有效地提高TBM在泥岩地质条件下的掘进速度和施工效益。     

Numerical simulation of ventilation and dust suppression system for open-type TBM tunneling work area

In order to study the characteristics of the ventilation and dust suppression system for open-type TBM tunneling work area in a Ø8.53 diversion project, the numerical simulation method is adopted, and a three-dimensional steady airflow model, a dust flow model as well as other related flow characteristic equation models are established by considering the dust production mechanism of TBM construction. Besides, corresponding simulation models validated by experiment are established using CFD software, and the impacts of the main vent location, the air baffle length in the main beam and the exhausting air flow quantity on flow field distribution and dust flow behavior in open-type TBM tunneling work area are investigated. The results show: when the main vent is located 70–80 m away from the working face, the ventilation in TBM tunneling work area is optimal; when the air baffle is as long as the main beam, the dust collection efficiency is the highest, reaching 89.4%; under the condition that the exhausting air flow quantity is less than half of the ventilation air flow quantity required by energy consumption and the minimum backflow velocity, the best dust suppression effect can be achieved when the exhausting air flow quantity is 40% of the ventilation air flow quantity.     

Parametric study of soil abrasivity for predicting wear issue in TBM tunneling projects

The lack of reliable methods for evaluation of soil abrasivity and revealing the effects of different parameters on wear rate are nowadays considered as a deficiency in geotechnical investigation during feasibility study, design and construction phases of tunneling projects with the use of tunneling boring machine (TBM). The subject is recently attracts a broad international attention and focus.The background of existing standard test methods are reviewed and wear types occurrences in TBM tunneling are discussed in this paper. A new soil abrasion testing system is developed which is called Soil Abrasion Testing Chamber (SATC) and the results of soil abrasion tests are compared with results of the commonly used tests such as: Cerchar, LCPC and SAT tests. Some of the most influencing factors including presence of water, bentonite slurry, soil particle size, quartz content, water pressure and confining chamber pressure are considered for the use of the new devise. The test results indicate that the soil abrasivity tends to increase with the increasing of soil particle size, bentonite slurry, soil pressure and quartz content. The effect of water on abrasivity varies for different types of soil. The soil abrasivity decreases with the increase of water pressure. The internal friction does not seem to have any influence on the wear rates measured with the new proposed apparatus.     

隧洞工程TBM法施工计算机模拟研究

TBM（全断面掘进机）在隧洞工程施工中得到了广泛的应用，把循环运行网络（Cyclic Operation Network）理论与计算机模拟技术相结合，可以对隧洞工程TBM法施工过程进行模拟，通过对多个施工方案模拟结果进行技术经济分析，可以得到最优的施工方案，从而提高工效、缩短工期、降低费用。     

深埋隧洞TBM掘进微震与岩爆活动规律研究

以锦屏二级水电站TBM开挖的深埋隧洞为工程背景,基于微震监测数据和岩爆实例,研究了深埋隧洞TBM掘进过程中微震与岩爆时空分布特征及岩爆孕育过程微震演化规律。结果表明:(1)微震活跃期和岩爆高发期处于TBM作业时段及停机后的1 h以内;微震活动范围主要介于掌子面后方3倍洞径至前方0.4倍洞径之间,其峰值位于掌子面后方0.8倍洞径附近;而岩爆主要发生在掌子面后方2倍洞径以内,尤其是掌子面后方1倍洞径以内是岩爆高发区;可见,微震与岩爆具有良好的时空相关性。(2)在时间序列上,微震能突增现象,以及累积视体积快速上升而Schmidt数急剧下降的现象均属微震活动异常,属岩爆前兆。(3)在空间序列上,微震事件逐渐向某个区域高度集结且大震级高能量事件不断增多的现象属微震活动异常,预示高岩爆风险,属岩爆前兆。