A new intelligent control model for tunnel boring machines . Aims: This project will develop a new intelligent tunnelling optimisation control model for TBMs based on an experimental and numerical stu

Description

A new intelligent control model for tunnel boring machines . Aims: This project will develop a new intelligent tunnelling optimisation control model for TBMs based on an experimental and numerical study of rock fragmentation by drilling bits. Significance: The proposed method will provide a novel tool for engineers who wish to understand the fundamental mechanism of tunnelling in complicated rock mass of TBM and optimize TBM performance. Expected Outcomes: A series of charts and design recommendations will be developed, which have the potential to result in reduced infrastructure costs. Benefits: This technique will provide geotechnical, mining and transport engineering firms in Australia with a competitive edge in ensuring the safety of underground openings locally and nationally. . Scheme: Linkage Projects. Field: 4005 - Civil Engineering. Lead: Prof Shanyong Wang