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Enhancing the safety management of NATM using the tunnel seismic prediction method: a case study

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Abstract

Although NATM is widely applied in modern tunnel design and construction, tunnel construction is still deemed highly risky due to the unknown ground condition ahead of the excavation face. Faults, massive groundwater, fracture zones, and other factors might easily cause great danger to the excavation work. To enhance the safety management of NATM, the tunnel seismic prediction (TSP) method is introduced to help detect unstable ground conditions to prevent the happening of collapses or disasters during tunnel excavation. With the reflected seismic waves collected from several explosions, TSP could produce high-resolution simulated images that, with careful interpretation, will reveal the ground conditions ahead. In this paper, how TSP is incorporated with NATM for better construction safety is presented.

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Acknowledgements

We want to express a special appreciation to New Asia Construction and Development Corporation, including the chairman, the president, the vice president, and the department managers, for their instruction and help on the study of this subject project. In addition, we would like to give a special thanks to Suhua Highway Improvement Office, including the director, the deputy directors, and engineers, for their instruction and supervision on contractors’ construction work of the Suhua Highway Improvement Project. Furthermore, their efforts on sustainability issues had reached outstanding achievements successfully during the past years. It is the most important help to complete this paper.

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Authors and Affiliations

  1. New Asia Construction and Development Corporation, 15F, No. 760, Sec. 4, Pade Rd., Taipei City, 10567, Taiwan, R.O.C.

    Hong-Kee Tzou, Tai-Sheng Chu & Tai-Yi Liu

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  1. Hong-Kee Tzou
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  2. Tai-Sheng Chu
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  3. Tai-Yi Liu
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Correspondence to Tai-Yi Liu.

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Tzou, HK., Chu, TS. & Liu, TY. Enhancing the safety management of NATM using the tunnel seismic prediction method: a case study. Innov. Infrastruct. Solut. 5, 106 (2020). https://doi.org/10.1007/s41062-020-00357-0

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  • DOI: https://doi.org/10.1007/s41062-020-00357-0

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