TRT6000在隧道超前地质预报中的应用研究
发布时间:2019-06-14 00:15
【摘要】:随着国民经济建设的飞速发展,新建长大隧道工程越来越多,在隧道开挖掘进过程中,提前预测隧道前方的地质变化,可为施工提供较为准确的地质资料,及时调整施工工艺,减少和预防工程事故的发生。TRT6000是以层析扫描技术为基础,同时采用多个震源点,发射出沿隧道开挖方向或者沿隧道四周的地震波信号。根据地震波在岩体内性质发生改变而产生的反射信号形成三维结果图,三维结果图包括了隧道开挖面前方一定距离以及隧道开挖面处围岩四周一定距离的各种地质情况。TRT6000采用的接收器是高灵敏度,这样绝大部分信号被最大限度的保留了下来。只需用大约五公斤的榔头锤击就能够触发震源点,通过这种方式可以降低信号的衰减提高数据采集的准确性,可操作性也大大的提高了,通过这种方式所接收的波准确性更高,分析出来的数据更加准确,隧道地质异常体就更准确的判断出来了。TRT6000层析扫描超前地质预报系统的两大特点:①运用了业界内独有的层析扫描成像。②使用简单的榔头就能发出足够强度的地震波。本文有以下主要研究内容:①阐述了隧道超前地质预报方法中的几种常用的探测手段,通过在操作的简易性、成本、效果三个方面的对比,突出TRT6000超前地质预报的优势。②阐述了TRT6000的基本原理。TRT操作的全部过程,从收集的数据技术、处理数据技术及解释结论图技术。③以重庆铜锣山隧道为例,总结出在不同性质岩体(泥岩、砂岩、灰岩)中,当隧道掌子面前方存在断层破碎带、溶洞、突水涌水等不良地质体在TRT6000图像中的显现特征;描述了砂岩、灰岩、砂岩三种岩体的波速大致范围。并将探测结果与勘察设计、工程实际进行对比,建立一套新的图像解释标志。
[Abstract]:With the rapid development of national economic construction, there are more and more new long tunnel projects. In the process of tunnel excavation, predicting the geological changes in front of the tunnel in advance can provide more accurate geological data for the construction, adjust the construction technology in time, reduce and prevent the occurrence of engineering accidents. TRT6000 is based on tomographic scanning technology and adopts multiple seismic source points at the same time. Emits seismic wave signals along the direction of tunnel excavation or around the tunnel. According to the reflection signal produced by the change of seismic wave properties in rock mass, the three-dimensional result map includes a certain distance in front of the tunnel excavation surface and a certain distance around the surrounding rock around the tunnel excavation surface. The receiver used in TRT6000 is highly sensitive, so that most of the signals are retained to the maximum extent. The source point can be triggered by hammering with a hammer of about five kilograms. In this way, the attenuation of the signal can be reduced to improve the accuracy of data acquisition, and the maneuverability is also greatly improved. The accuracy of the wave received by this way is higher, and the analyzed data is more accurate. The tunnel geological anomaly body is judged more accurately. TRT6000 tomographic scanning advanced geological prediction system has two main characteristics: (1) using the unique tomographic scanning imaging in the industry. (2) using a simple hammer can send out enough seismic waves. The main research contents of this paper are as follows: (1) several commonly used detection methods in tunnel advance geological prediction methods are expounded. Through the comparison of simplicity, cost and effect of operation, the advantages of TRT6000 advanced geological prediction are highlighted. (2) the basic principle of TRT6000 is expounded. the whole process of TRT operation, from the collected data technology, processing data technology and interpretation conclusion diagram technology. 3 take Chongqing Tonggaoshan Tunnel as an example, It is concluded that in different rock masses (mudstone, sandstone, limestone), when there are fault broken zones, caverns, water inrush and other bad geological bodies in front of the palm surface of the tunnel, the appearance characteristics of bad geological bodies in TRT6000 images are summarized. The wave velocity range of sandstone, limestone and sandstone is described. The detection results are compared with the survey design and engineering practice, and a new set of image interpretation marks is established.
【学位授予单位】:重庆交通大学
【学位级别】:硕士
【学位授予年份】:2015
【分类号】:U452.11
本文编号:2498935
[Abstract]:With the rapid development of national economic construction, there are more and more new long tunnel projects. In the process of tunnel excavation, predicting the geological changes in front of the tunnel in advance can provide more accurate geological data for the construction, adjust the construction technology in time, reduce and prevent the occurrence of engineering accidents. TRT6000 is based on tomographic scanning technology and adopts multiple seismic source points at the same time. Emits seismic wave signals along the direction of tunnel excavation or around the tunnel. According to the reflection signal produced by the change of seismic wave properties in rock mass, the three-dimensional result map includes a certain distance in front of the tunnel excavation surface and a certain distance around the surrounding rock around the tunnel excavation surface. The receiver used in TRT6000 is highly sensitive, so that most of the signals are retained to the maximum extent. The source point can be triggered by hammering with a hammer of about five kilograms. In this way, the attenuation of the signal can be reduced to improve the accuracy of data acquisition, and the maneuverability is also greatly improved. The accuracy of the wave received by this way is higher, and the analyzed data is more accurate. The tunnel geological anomaly body is judged more accurately. TRT6000 tomographic scanning advanced geological prediction system has two main characteristics: (1) using the unique tomographic scanning imaging in the industry. (2) using a simple hammer can send out enough seismic waves. The main research contents of this paper are as follows: (1) several commonly used detection methods in tunnel advance geological prediction methods are expounded. Through the comparison of simplicity, cost and effect of operation, the advantages of TRT6000 advanced geological prediction are highlighted. (2) the basic principle of TRT6000 is expounded. the whole process of TRT operation, from the collected data technology, processing data technology and interpretation conclusion diagram technology. 3 take Chongqing Tonggaoshan Tunnel as an example, It is concluded that in different rock masses (mudstone, sandstone, limestone), when there are fault broken zones, caverns, water inrush and other bad geological bodies in front of the palm surface of the tunnel, the appearance characteristics of bad geological bodies in TRT6000 images are summarized. The wave velocity range of sandstone, limestone and sandstone is described. The detection results are compared with the survey design and engineering practice, and a new set of image interpretation marks is established.
【学位授予单位】:重庆交通大学
【学位级别】:硕士
【学位授予年份】:2015
【分类号】:U452.11
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,本文编号:2498935
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