Rock cavern design and performance auditing using neuralised rock engineering systems

• Main Author: Cai, Jungang
• Other Authors: Zhao, Jian
• Format: Theses and Dissertations
• Language: English
• Published: 2009
• Subjects: DRNTU::Engineering::Civil engineering::Geotechnical
• Online Access: http://hdl.handle.net/10356/19353
• Institution: Nanyang Technological University

Rock masses have various properties, interrelated parameters, complex interaction mechanisms and dynamic behavioural modes. Accordingly, a systematic view and a total systems approach is required for rock engineering project design and performance auditing. In this thesis, a top-down analytic Rock Engineering Systems (RES) approach is implemented and computerised with neural networks and knowledge based expert system. This Neuralised Rock Engineering Systems (NRES) approach integrates a data base and a data pre-processing program, the backpropagation networks, a Hopfield network and an expert system as different functional components. It utilises the advantages and overcomes the disadvantages of those different technologies in solving rock engineering problems. Specific applications to rock cavern design and performance auditing are illustrated.