Underground infrastructures urgently require intelligent transformation across the full chain of design, construction, and maintenance to address challenges posed by deep burial, high in-situ stress, dynamic loading, and long service lifespans. Advancing digitalisation and intelligence in underground engineering is fundamental to improving disaster prevention, operational reliability, and lifecycle management.
Our work has made the following key contributions: A comprehensive theory and methodology were developed for the seismic design of integrated underground structures and geotechnical systems.
Innovative multi-source information detection methods were developed to support intelligent TBM tunnelling and geological disaster prevention.
Key seismic technologies for underground structures were established, effectively ensuring the safe operation and maintenance of underground infrastructure.
Design: An integrated design theory for underground structures and surrounding ground was established. Based on this theoretical framework, our research team served as the chief editor of China’s first national standard for underground structure design, providing fundamental and authoritative guidance for engineering practice.
Construction: Intelligent decision-making technologies for TBM excavation were developed and successfully applied to the downstream Yajiang River hydropower project. These technologies significantly enhanced construction safety, efficiency, and adaptability under complex geological conditions.
Maintenance: Over the past three years, the research outcomes have been extensively applied in the seismic design of 62 subway lines across 27 cities nationwide, accounting for more than 80% of newly designed lines. The same technologies have also been extended to multiple overseas projects, demonstrating strong engineering applicability and scalability.
Awards: The achievements were recognised with the First Prize of the Beijing Science and Technology Progress Award (2024) and the First Prize of the Hydropower Science and Technology Award, underscoring significant scientific contributions and outstanding engineering value.
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