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.
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.
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:
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.
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.
Abstract:
The present disclosure provides a determining device for the weathering resistant capability of clastic rocks in a tunnel based on feldspar features, which overcomes the shortcomings of current evaluation methods, is easy to operate, can be used to detect the type, content, and crystal structure of feldspar in a rock stratum, and integrates the information by combining a computer deep learning method to determine the weathering resistant capability of clastic rocks containing different types of feldspar in a tunnel, with high accuracy.
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.
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.
Abstract:
A preparation method of an expansive polymer grouting material for treating high-pressure large-flow-rate karst water inrush includes: 1) adding a crosslinking agent to acrylic acid; then adding a polymer water-absorbent resin comonomer and performing a polymerization reaction to obtain a precursor; 2) adding an initiator to the precursor obtained in step 1), heating the mixture, performing a reaction to obtain a hydrogel, and grinding the hydrogel to obtain a primary polymer water-absorbent resin; 3) spraying a surface crosslinking agent onto a surface of the primary polymer water-absorbent resin obtained in step 2), and drying the product; and 4) preparing a suspension from an inorganic water conducting agent, spraying the suspension onto the product obtained in step 3), and performing drying to obtain the expansive polymer grouting material.
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.