Calculating Rock Joint Frequency in TBM Excavation Through Binocular Vision and Segmentation Techniques
In tunnel boring machine (TBM) construction, the strength and integrity of the surrounding rock are pivotal factors affecting operational safety and efficiency. The stability of the surrounding rock is particularly influenced by structural planes within the rock mass. Hence, rapidly and accurately a...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2025-01-01
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| Series: | Advances in Civil Engineering |
| Online Access: | http://dx.doi.org/10.1155/adce/4515005 |
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| Summary: | In tunnel boring machine (TBM) construction, the strength and integrity of the surrounding rock are pivotal factors affecting operational safety and efficiency. The stability of the surrounding rock is particularly influenced by structural planes within the rock mass. Hence, rapidly and accurately acquiring integrity information during construction is crucial for ensuring TBM safety and optimizing performance. This study introduces an innovative method integrating binocular vision for rapid distance measurement with image-level segmentation for rock joint detection. The method enhances the speed and precision of determining rock mass integrity parameters, specifically the frequency of rock joints, thereby providing reliable and efficient rock mechanics data for TBM operations. The binocular vision system captures original images and distance distributions, which are processed using a refined edge detection model for segmentation. This approach effectively identifies and characterizes diverse joint morphologies, enabling accurate calculations of rock joint frequency. Validation on a dataset comprising 30 groups demonstrated a prediction accuracy of 0.79, confirming the robustness and effectiveness of the method even under challenging conditions such as occlusion and water seepage. |
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| ISSN: | 1687-8094 |