A DATA-DRIVEN SAFETY EARLY-WARNING SYSTEM FOR UNDERGROUND CONSTRUCTION

Dr. Ling Ma

Underground Construction

>200 kilometers / 7 years

>130 stations / 7 years

> 10 million

> 25 metro lines

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166 vs 159

237 vs 230

Tunnelling Process

Effects on adjacent buildings

Safety events

Tunneling Process

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Geotechnical Monitoring

Construction should be stopped when ground settlement exceeds 30 mm

Tunneling Process

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Semantic enrichment of the ground settlement data

Ma, L., Luo, H. Bin*, and Chen, H. R. (2013). “Safety risk analysis based on a geotechnical instrumentation data warehouse in metro tunnel project.” Automation in Construction, 34, 75–84. (Impact Factor: 4.437)

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Data Denoising

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. (Impact Factor: 2.822)

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Wavelet Analysis

Spatial distribution and development of ground settlement

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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. (Impact Factor: 2.562)

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), 137–151. (Impact Factor: 2.562)

Knowledge discovery from the ground settlement data

Ma, L., Luo, H. Bin*, and Chen, H. R. (2013). “Safety risk analysis based on a geotechnical instrumentation data warehouse in metro tunnel project.” Automation in Construction, 34, 75–84. (Impact Factor: 4.437)

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• The width of the settlement trough is time-invariant
• The width of the settlement trough is correlated with the thickness of soil layers

A spatial-temporal model for construction safety classification

Ma, L., Early Warning Analysis for Safety Risk of Metro Tunnel Construction Based on a Spatio-Temporal Model of Ground Settlement, China National Natural Science Funds for Young Scholar, £28,500, PI, 51408247, 2015-2017

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Safety classification in the ground area based on settlement trough width and ground loss

Dynamic safety classification of ground area and adjacent facilities

AWARDS

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SAFETY EARLY-WARNING FOR UNDERGROUND CONSTRUCTION

Ma, L., Early Warning Analysis for Safety Risk of Metro Tunnel Construction Based on a Spatio-Temporal Model of Ground Settlement, China National Natural Science Funds for Young Scholar, £30k, PI, 51408247, 2015-2017  

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. (Impact Factor: 2.822)

Ma, L., Luo, H. Bin*, and Chen, H. R. (2013). “Safety risk analysis based on a geotechnical instrumentation data warehouse in metro tunnel project.” Automation in Construction, 34, 75–84. (Impact Factor: 4.437)

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), 137–151. (Impact Factor: 2.562)

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. (Impact Factor: 2.562)