A Digital Twin-Driven Approach for Detecting Overbreak and Underbreak in Drill-and-Blast Tunnels

12 pages•Published: August 28, 2025

Zhiyang Pan, Yichong Zhang, Yujie Lu and Bing Tang

Abstract

This study presents a computational workflow for detecting overbreak and underbreak in drill-and-blast tunnels, grounded in the principles of Digital Twin technology, with the objective of enhancing blasting quality control during tunnel construction. Utilizing 3D laser scanning technology, a 3D model of the real-world tunnel is constructed and integrated with the design model for comparative analysis. The differences in the contours of both models are computed, facilitating the automated assessment of overbreak and underbreak volumes in blasting sections. The specific workflow encompasses data acquisition, point cloud processing, model construction and optimization, as well as model integration and analysis, thereby establishing an efficient and precise system for detecting overbreak and underbreak. In comparison to traditional manual section measurement methods, the proposed approach not only significantly reduces labor workload but also substantially enhances detection accuracy. This technology offers reliable technical support for tunnel blasting quality assessment, effectively addressing the challenges of high labor input in drill-and-blast tunnel construction.

Keyphrases: 3d reconstruction, digital twin, quality control, tunnel

In: Jack Cheng and Yu Yantao (editors). Proceedings of The Sixth International Conference on Civil and Building Engineering Informatics, vol 22, pages 105-116.

Links:	https://easychair.org/publications/paper/zfFW
	https://doi.org/10.29007/crn1

BibTeX entry

@inproceedings{ICCBEI2025:Digital_Twin_Driven_Approach,
  author    = {Zhiyang Pan and Yichong Zhang and Yujie Lu and Bing Tang},
  title     = {A Digital Twin-Driven Approach for Detecting Overbreak and Underbreak in Drill-and-Blast Tunnels},
  booktitle = {Proceedings of The Sixth International Conference on Civil and Building Engineering Informatics},
  editor    = {Jack Cheng and Yu Yantao},
  series    = {Kalpa Publications in Computing},
  volume    = {22},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2515-1762},
  url       = {/publications/paper/zfFW},
  doi       = {10.29007/crn1},
  pages     = {105-116},
  year      = {2025}}

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