Integrated Geophysical Tunnel Detection Model
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Solution Overview
Problem
Current geophysical model test devices for tunnel construction face challenges in simulating multiple detection methods, such as seismic waves, electromagnetic, and direct-current electric methods, due to differing similarity principles and material requirements, and struggle with large-scale simulation of complex geological conditions like karst caves and underground rivers, leading to inaccurate predictions and safety risks.
Innovation Solution
A large-scale integrated geophysical advanced detection model test device that includes a tunnel surrounding rock, main tunnel model, water-containing geological structure device, numerical control automated construction device, and main control chamber, capable of simulating multiple geophysical methods like induced polarization, transient electromagnetic, seismic wave, and resistivity CT, using a similar material composed of soil, cement, and gravel, and a water-containing structure with controllable permeability, allowing for accurate simulation of various geological conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a single detection method is used for geophysical exploration, then the detection process is simple, but the detection accuracy and reliability are insufficient
Solution Approach 1:
The patent combines multiple geophysical detection methods (seismic wave method, electromagnetic method, and direct-current electric method) into an integrated detection system. The model test device incorporates various detection devices and electrodes that can simultaneously or sequentially perform different detection methods on the same model, allowing cross-verification and complementation of results to improve overall detection accuracy and reliability.
Solution Approach 2:
The model test device is designed with multi-functionality to support multiple detection methods. The same physical model can be subjected to seismic wave detection, electromagnetic detection, and electric method detection using appropriately configured detection devices and electrodes, making the system universally applicable to various geophysical detection techniques.
2Measurement precision
If a large-scale model is used to simulate real geological conditions, then the simulation accuracy is improved, but the device size and material requirements become more complex
Solution Approach 1:
The patent applies similarity theory and parameter transformation to create a reduced-scale model that accurately represents real geological conditions. By carefully selecting and adjusting physical parameters (such as material properties, dimensional ratios, and geological structure characteristics), the model maintains geometric and physical similarity to the actual tunnel surrounding rock while being manageable in size for laboratory testing.
Solution Approach 2:
The model utilizes composite materials that replicate the mechanical and physical properties of real tunnel surrounding rock. The model material is formulated to have similar density, strength, and other key parameters to actual rock formations, enabling accurate simulation of geological conditions including karst caves, underground rivers, and fault zones.
3Adaptability or versatility
If multiple detection methods are integrated into one device, then the detection comprehensiveness is improved, but the device complexity and material requirements increase
Solution Approach 1:
The patent integrates seismic wave detection devices, electromagnetic detection devices, and direct-current electric method detection devices into a single model test system. All detection methods share common infrastructure including the physical model, data acquisition system, and control mechanisms, while maintaining the specific functionality required for each detection method through appropriately configured electrodes and sensors.
4Reliability
If the model scale is increased to better represent actual tunnel conditions, then the prediction reliability is improved, but the test room space and material consumption increase
Solution Approach 1:
The patent uses similarity theory to establish appropriate scale ratios between the model and actual tunnel conditions. By optimizing the model scale parameter and adjusting other physical parameters accordingly, the system achieves reliable predictions while minimizing the required test room space and material consumption.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The device enables accurate and reliable integrated geophysical detection by simulating multiple geological conditions, improving prediction accuracy, reducing construction risks, and allowing for quick and efficient simulation of different geological scenarios, thereby enhancing tunnel construction safety.
Implementation Method 1
the wave velocity of the similar material is 230-1,260 m/s
Implementation Method 2
the resistivity of the similar material is 20-340 Ωm
Implementation Method 3
a water-containing structure with controllable permeability
Implementation Method 4
allowing for quick and efficient simulation of different geological scenarios
Data Source
AI summary
The present invention presents 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, for the advanced prediction and water burst quantity prediction in actual engineering.