has been granted a patent for a hypergravity model test device designed to simulate progressive failures of shield tunnel faces. The device features a model box, shield tunnel model, servo loading control system, and a comprehensive data acquisition system for precise monitoring and analysis. GlobalData’s report on gives a 360-degree view of the company including its patenting strategy.
According to GlobalData鈥檚 company profile on , AI assisted CAD was a key innovation area identified from patents. 's grant share as of June 2024 was 71%. Grant share is based on the ratio of number of grants to total number of patents.
Hypergravity model test device for shield tunnel failure simulation
The patent US12037907B2 describes a hypergravity model test device designed to simulate the progressive failure of a shield tunnel face. The device comprises several key components, including a model box, a shield tunnel model, a servo loading control system, and a data acquisition system. The shield tunnel model is housed within the model box, which features a rigid body, a sealing plate, and a camera mounting frame. The servo loading control system, located externally, includes a servo motor and a planetary roller screw electric cylinder that facilitates the movement of a rigid plate within the shield shell. The data acquisition system is equipped with various sensors, such as displacement transducers and pressure meters, to monitor the conditions during testing. The design allows for both passive and active failure simulations of the shield tunnel face, with the rigid plate's movement controlled to replicate these scenarios.
Additionally, the patent outlines a detailed method for simulating the progressive failure of the shield tunnel face using the device. This method involves several steps, including preparing the model soil, installing the necessary components, and conducting a centrifuge test to create hypergravity conditions. The process includes capturing images of the soil deformation using multiple industrial cameras and analyzing the data collected from various sensors. The analysis employs advanced technologies such as particle image velocimetry and multi-view stereo vision to assess the failure mode and ground surface settlement characteristics. The method aims to determine the limit support pressure and understand the relationship between the displacement of the rigid plate and the actual support pressure at the tunnel face, providing valuable insights into tunnel stability under progressive failure conditions.
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