Development of deep-underground engineering structures via 2D and 3D RQD prediction using non-invasive CSAMT

Muhammad Hasan1,2,3,4, Lijun Su5,6,7, Peng Cui8,9,10,11

  • 1State Key Laboratory of Mountain Hazards and Engineering Resilience, Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu, 610299, China. mhasan@imde.ac.cn.

Scientific Reports
|January 9, 2025
PubMed
Summary

This study introduces a novel geophysical method for estimating rock quality designation (RQD) in deep underground projects. This faster, cheaper approach improves geological assessments for safer, more reliable engineering designs.

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