Abstract
As engineering construction projects become larger, many new and more complicated problems will have to be handled by rock mechanics. Most problems in rock mechanics are known to be in the range where data and understanding are limited, but they are too often modelled as if data and understanding were good. Some processes in rock mechanics have a mathematical description that is incomplete, weak, or even nonexistent; worse still, they might lack a widely accepted conceptual model. There are still uncertainties in geological data and rock mass properties. One way of proceeding in rock mechanics, under these circumstances, is to apply artificial intelligence. A combination of fuzzy mathematics, systems science, and nonlinear mechanics with rock mechanics could lead to the development of 'intelligent rock mechanics and rock engineering'. This new branch of rock mechanics is interdisciplinary, as it is based on new ideas of system optimisation and information processing under uncertainty. It could enhance our ability to solve complex engineering problems. Some important results that it has already achieved include: (1) an integrated rock mechanics expert system model; (2) neural network modelling of nonlinear rock mechanics processes; and (3) various practical applications of integrated intelligent modelling and prediction.
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