Design and construction of tunnels and tunnelling: Understanding the importance of geological conditions, landslide susceptibility and risk assessment

Author:

Zhang Wengang1ORCID,Somerville Ian2,Paneiro Gustavo3,Nong Xingzhong4,Chwala Marcin5,Yang Wenyu1

Affiliation:

1. School of Civil Engineering Chongqing University Chongqing People's Republic of China

2. UCD School of Earth Sciences University College Dublin Dublin Ireland

3. DECivil/CERENA, Técnico Lisboa Universidade de Lisboa Lisbon Portugal

4. Guangzhou Metro Design and Research Institute Co., Ltd. Guangzhou People's Republic of China

5. Department of Geotechnics and Hydrotechnics, Faculty of Civil Engineering Wroclaw University of Science and Technology Wroclaw Poland

Abstract

Tunnel engineering is a complex and multidisciplinary field that requires the integration of geological expertise, advanced modeling techniques, and practical engineering solutions. The research compiled in the Special Issue "Tunnels and Tunneling" makes significant contributions to the field by addressing the diverse geological conditions and intricate challenges inherent in tunnel construction. These insights are crucial for enhancing the safety, efficiency, and sustainability of tunnel projects worldwide. The studies in this Special Issue provide a comprehensive understanding of the various challenges and innovative solutions in tunnel engineering. They offer valuable insights and practical guidelines for designing, constructing, and maintaining safe and stable tunnel structures across different geological settings. In addition, geological challenges in specific regions, such as the Three Gorges Reservoir area, the Hengduan Mountains, and the Tibetan Plateau, require tailored approaches. A key theme in many of the comparative studies is the importance of accurate risk assessment to ensure tunnel safety. In regions prone to geological hazards, landslide susceptibility mapping and risk assessment are critical. Innovative approaches, such as machine learning models, are highlighted for their potential to predict and manage landslide risks effectively.

Publisher

Wiley

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