INTELLIGENT STEEL ARCH FLEXIBLE PROTECTION DEVICE FOR ROCKFALL AND LANDSLIDE OF TUNNELS

    公开(公告)号:US20190360334A1

    公开(公告)日:2019-11-28

    申请号:US16072086

    申请日:2018-01-10

    Abstract: An intelligent and flexible steel arch protection device for rockfall and collapse of tunnels, including an arch main body system and a flexible protection system. The arch main body system includes an arched rigid high-strength steel frame and a base. The flexible protection system includes two parallel supporting rods which are oppositely arranged on the steel frame along the circular arc of the arch. Connecting rods are arranged between the two supporting rods at intervals, and the two ends of the connecting rods are fixed to the two supporting rods. The connecting rods are sleeved with guide rods and elastic devices are arranged between the guide rods and the supporting rods. A plurality of rolling shafts vertical to the axial direction of the two-way guide rods and connected with the two-way guide rods are arranged between the adjacent two-way guide rods, and the rolling shafts are sleeved with flexile rollers.

    EXPERIMENTAL SYSTEM AND METHOD FOR WHOLE-PROCESS SIMULATION OF SEEPAGE FAILURE IN FILLING-TYPE KARST MEDIA

    公开(公告)号:US20190206279A1

    公开(公告)日:2019-07-04

    申请号:US16314658

    申请日:2017-12-14

    CPC classification number: G09B19/0061 G01N13/04

    Abstract: A whole-process simulation experiment system has: a visualized model system with test samples and serving as a bearing device for the simulation of whole-process seepage of filling-type karst; a controllable support system supporting a visualized model box and controlling fluid seepage direction in the box by changing its inclination angle; a servo loading system controlling water pressure in the test process and providing four different loading modes for the box; a high-speed camera system recording water flow and particle motion in a transparent seepage model box in the seepage failure process; a comprehensive data measuring system monitoring and recording the change rules of factors including but not limited to seepage pressure, seepage amount and sand gushing amount in the seepage failure process; and an information analysis and feedback system recording and analyzing the seepage process and the whole seepage failure process in real time to achieve data processing and feedback.

    TUNNEL CONSTRUCTION LARGE-SCALE INTEGRATED GEOPHYSICAL ADVANCED DETECTION MODEL TEST DEVICE
    33.
    发明申请
    TUNNEL CONSTRUCTION LARGE-SCALE INTEGRATED GEOPHYSICAL ADVANCED DETECTION MODEL TEST DEVICE 有权
    隧道施工大规模集成地球物理高级检测模型试验装置

    公开(公告)号:US20150338549A1

    公开(公告)日:2015-11-26

    申请号:US14397547

    申请日:2014-01-26

    CPC classification number: G01V99/005 G01V1/30 G01V3/165 G01V3/17 G01V11/00

    Abstract: The present invention discloses a tunnel construction large-scale integrated geophysical advanced detection model test device. The model test device includes a tunnel surrounding rock, a main tunnel model, a model test case, a water-containing geological structure device, a numerical control automated construction device and a main control chamber. The model test device is a large-scale integrated geophysical advanced detection model test device meeting the detection using a seismic wave method, an electromagnetic method and a direct-current electric method. By using the geophysical advanced detection model test device, the geophysical response features of the water-containing geological structure device in front of a tunnel face may be studied, multiple geophysical advanced detection forward and inversion methods for the water-containing geological structure device are verified, and the relationship between some geophysical detection method results and water burst quantity is studied, so as to lay a test foundation for the advanced prediction and water burst quantity prediction of the water-containing geological construction device in actual engineering.

    Abstract translation: 本发明公开了一种隧道建设大型综合地球物理高级检测模型试验装置。 模型试验装置包括岩石隧道,主隧道模型,模型试验箱,含水地质结构装置,数控自动化施工装置和主控室。 模型试验装置是利用地震波法,电磁法和直流电法满足检测的大规模综合地球物理高级检测模型试验装置。 通过使用地球物理高级检测模型试验装置,可以研究隧道前面含水地质构造装置的地球物理响应特征,验证含水地质结构装置的多种地球物理进展检测正向和反演方法 研究了一些地球物理检测方法结果与水爆量之间的关系,为实际工程中含水地质施工装置的先进预测和水爆量预测奠定了考察基础。

    ADVANCED GEOLOGICAL PREDICTION METHOD AND SYSTEM BASED ON PERCEPTION WHILE DRILLING

    公开(公告)号:US20230144184A1

    公开(公告)日:2023-05-11

    申请号:US17881158

    申请日:2022-08-04

    CPC classification number: E21B49/003 E21B49/005 E21D9/003 E21B2200/20

    Abstract: An advanced geological prediction method and system based on perception while drilling, and relates to advanced geological prediction. The solution includes: acquiring drilling parameters during drilling; obtaining physical and mechanical parameters of tunnel surrounding rocks by inversion based on drilling parameters; acquiring rock slag or powder based on flushing fluid collected during drilling; acquiring geochemical characteristic parameters of rock slag or powder; and obtaining at least one adverse geology recognition result and surrounding rock classification result using a pre-trained deep learning model, and realizing advanced geological prediction. Combined with advanced geological drilling, the solution reflects geological characteristics from changes of physical and mechanical properties of tunnel surrounding rocks and changes of geochemical characteristic parameters. Advanced prediction of geology ahead of a tunnel face is realized by collection and analysis of drilling parameters and flushing fluid during advanced drilling and the fusion of big data and a deep learning algorithm.

    TBM-MOUNTED SYSTEM AND METHOD FOR QUICKLY PREDICTING COMPRESSIVE STRENGTH OF ROCKS BASED ON ROCK MINERAL COMPOSITION AND FABRIC CHARACTERISTICS

    公开(公告)号:US20220412867A1

    公开(公告)日:2022-12-29

    申请号:US17777801

    申请日:2020-01-21

    Abstract: A TBM-mounted system and method for quickly predicting compressive strength of rocks based on rock mineral composition and fabric characteristics. The system is mounted on gripper shoe's side surface of an open-type TBM, and includes a protective device, hydraulic device, servo motor, detection device, control system and a data comprehensive analysis platform. The hydraulic device is mounted on the protective device's side wall, for controlling movement of detection device horizontally. The servo motor controls rotation of detection device. The detection device collects a variety of geological parameters of target surrounding rock affecting compressive strength of rock and providing basic data for compressive strength prediction of rock. The control system controls work of hydraulic device, servo motor and each detection device. The data comprehensive analysis platform is connected to each detection instrument, receives geological parameters collected, processes and analyzes each parameter, and gives a prediction of compressive strength of rock.

    METHOD AND SYSTEM FOR GENERATING LOGARITHMIC NON-UNIFORM PSEUDO-RANDOM ELECTROMAGNETIC EXPLORATION SIGNAL

    公开(公告)号:US20220308249A1

    公开(公告)日:2022-09-29

    申请号:US17603442

    申请日:2021-03-30

    Abstract: A method and system for generating a logarithmic non-uniform pseudo-random electromagnetic exploration signal including: constructing two or more basic unit signals, according to an exploration requirement, that are stairstep signals obtained by superposing in-phase periodic square wave signals, a frequency ratio between adjacent periodic square wave signals is 2, and the two or more basic unit signals meet the following requirement: if a lowest dominant frequency in a first basic unit signal is a fundamental frequency, lowest frequencies of the remaining basic unit signal are l×2m times the fundamental frequency, where l is an odd number except 1, and m is a natural number; and superposing the two or more basic unit signals to obtain a logarithmic non-uniform 2n sequence pseudo-random signal. A logarithmic non-uniform 2n sequence stairstep signal is constructed within a limited frequency interval, and requirements of prospectors for a higher frequency density within a specific frequency interval are met.

    PERIDYNAMICS METHOD AND SYSTEM FOR TUNNEL ROCK MASS FAILURE WATER INRUSH CATASTROPHE SIMULATION

    公开(公告)号:US20220284152A1

    公开(公告)日:2022-09-08

    申请号:US17630422

    申请日:2020-10-22

    Abstract: A peridynamics method and system for tunnel rock mass failure water inrush catastrophe simulation. A calculation model is discretized into material points, and a virtual boundary layers is set on an outer side of a boundary of the calculation model as an object to which boundary conditions are applied; a size of a horizon of the material points is selected to form a neighborhood matrix; a crustal stress is made equivalent to a stress boundary condition of the calculation model, a karst cave water pressure is made equivalent to a normal pressure, and a displacement constraint and tunnel support are converted into a displacement boundary condition; a speed and a displacement of the material point are solved, and local damage situations are recorded; and a tunnel construction process is simulated by material point dormancy after initial balance calculation is stable.

    INTELLIGENT LITHOLOGY IDENTIFICATION SYSTEM AND METHOD BASED ON IMAGES AND SPECTRUM TECHNOLOGY

    公开(公告)号:US20210215590A1

    公开(公告)日:2021-07-15

    申请号:US16957631

    申请日:2019-04-26

    Abstract: An intelligent lithology identification system and method based on images and spectrum technology. The intelligent lithology identification system includes a rock shape analysis system, an image identification system, a sample processing system, a spectrum analysis system, and a central analysis and control system; wherein the central analysis and control system determines the final lithology of a sample according to the rock identification results from the image identification system and the analysis results from the spectrum analysis system. The technical solution further identifies the content and type of minerals by using spectrum technology, integrates and analyzes the results of spectrum analysis and image identification, and finally gives the lithology of the rock, which greatly improves the accuracy of lithology identification.

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