Computer-based hybrid model for estimating tunneling excavation productivity.

摘要

This thesis presents a computer-based hybrid model to simplify the process of estimating tunneling excavation productivity. This model combines Artificial Neural Networks (ANN), Knowledge-Based Expert Systems, and Discrete Event Simulations for improving the computational process. The model predictions of tunnel excavation rates closely match the rates achieved in a set of tunnel projects excavated using drill and blast and tunnel boring machines. The model has been implemented using commercial software.