Optimizing electrical exploration using harmony search algorithm to predict geological transitions in tunneling projects

초록

Geological transitions ahead of tunnel faces pose critical challenges in tunnel construction, often leading to face collapses, equipment damage, and construction delays. To address this issue, this study developed an electrical exploration system that employs the harmony search algorithm in combination with measured apparent electrical resistivity for inverse analysis. The proposed system estimates various parameters, including the location of geological transitions and the electrical resistivity of the changing ground. Validation was conducted through laboratory-scale chamber experiments that simulated soil-to-rock and rock-to-soil transitions, achieving an average prediction error of 5.40% and convergence within 1,000 iterations. In addition, the field applicability of the system was verified using data from previous tunnel excavations, demonstrating superior accuracy and computational efficiency compared to previous methods. These results indicate that the proposed system is a compact, efficient, and highly accurate approach for identifying geological transitions in tunneling projects, providing essential information for proactive risk management and safe excavation planning.

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