Underground Engineering

The main research theme under this research cluster:

  • Develop local project TBM database, in collaboration with LTA and industries, so as to provide easy to use information on key parameters in project bidding/planning.
  • Develop AI algorithm to model TBM performance, so as to achieve optimized cost-effective TBM excavation scheduling.
  • Develop TBM coupled geophysics tools for geological condition prediction during TBM excavation.
  • Develop 3D underground tunneling visualisation system to assist TBM tunnelling, by utilizing the available database and 3D geological map from BCA.
  • Develop comprehensive TBM construction management system, incorporating manpower need, equipment allocation, TBM parameter setting, geological modelling and 3D visualisation, risk prediction, and cost-benefit analysis.

Underground liquefied natural gas (LNG) storage: system modelling and laboratory testing

Co PIs: Assoc Prof Zhao Zhiye and Asst Prof Wu Wei

Researchers: Xiao Fei and Lu Dazhao

Project Objectives

  • Develop coupled stress/thermal/air/water model, and carry out parametric studies to optimize system performance
  • Develop low temperature and temperature gradient testing systems to investigate material properties and failure behaviours
  • Artificial intelligence based geological modelling and geodata management system for Virtual Singapore
    PI: Prof Chu Jian and Co-PI Asst Prof Wu Wei
    Researchers: Dr Qi Xiaohui and Dr Shang Junlong
  • Geothermal-driven technologies for passive enabling of urban sustainability solutions
    PI: Assoc Prof Alessandro Romagnoli (MAE)
    Co-PI: Assoc Prof Zhao Zhiye and Asst Prof Wu Wei
  • Stability evaluation of Singapore rocks in response to climate change
    PI: Asst Prof Wu Wei
    Researcher: Dr Wei Mingdong, Mr Fang Zhou
  • An integrated geophysical and geotechnical method for sinkhole detection during bored tunnelling
    PI: Asst Prof Wu Wei
    Co-PI: Prof Chu Jian
    Researcher: Mr Meng Wenzhao