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A DATA-DRIVEN SAFETY EARLY-WARNING SYSTEM FOR UNDERGROUND CONSTRUCTION
Working with Wuhan Metro Co., Ltd in China I developed a safety early-warning system using data mining of over five million geotechnical monitoring records to achieve zero fatality in 6-year constructions of tunnels over 200 kilometres. • Ma, L.*, Ding, L., and Luo, H. (2014). “Non-linear description of ground settlement over twin tunnels in soil.” Tunnelling and Underground Space Technology, 42, 144–151. • Guo, J.*, Ding, L., Luo, H., Zhou, C., and Ma, L. (2014). “Wavelet prediction method for ground deformation induced by tunneling.” Tunnelling and Underground Space Technology, 41(1). • Ma, L., Luo, HB*, et al. (2013). “Safety risk analysis based on a geotechnical instrumentation data warehouse in metro tunnel project.” Automation in Construction, 34, 75–84. • Ding, L., Ma, L.*, Luo, H., Yu, M., and Wu, X. (2011). “Wavelet Analysis for tunneling-induced ground settlement based on a stochastic model.” Tunnelling and Underground Space Technology, 26(5), 619–628. • Luo, H., Z. Guo and L. Ma (2013). A Safety Risk Management Database for Metro Construction Project. 30th CIB W78 International Conference.
1 Researchers
  • The Bartlett School of Sustainable Construction
    extResource/image/01/LMAAX73
1 External Collaborators
  • Professor Lieyun Ding
    Huazhong University of Science and Technology - China
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