首页|Neural network based inspection of voids and karst conduits in hydro-electric power station tunnels using GPR
Neural network based inspection of voids and karst conduits in hydro-electric power station tunnels using GPR
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NSTL
Elsevier
This paper reports on the fundamental role played by Ground Penetrating Radar (GPR), alongside advanced processing and presentation methods, during the tunnel boring project at a Dam and Hydro -Electric Power Station. It identifies from collected GPR data such issues as incomplete grouting and the presence of karst conduits and voids and provides full details of the procedures adopted. In particular, the application of collected GPR data to the Neural Network (NN) method is discussed. (C) 2018 Elsevier B.V. All rights reserved.
NSTL
Elsevier
