Open AccessEngineeringComputer Science

B. Sheil, S. Suryasentana, Michael A. Mooney, Hehua Zhu

2020.11.24Proceedings of the Institution of Civil Engineers: Smart Infrastructure and Construction

DOI: 10.1680/jsmic.20.00011

tlooto Summary

The proliferation of data collected by modern tunnel boring machines presents a substantial opportunity for the application of machine learning to support the decision-making process on tunnel boring operations.

Abstract

The proliferation of data collected by modern tunnel boring machines (TBMs) presents a substantial opportunity for the application of machine learning (ML) to support the decision-making process on...

Citation format

SHEIL, B., et al. Machine learning to inform tunnelling operations: Recent advances and future trends. Proceedings of the Institution of Civil Engineers: Smart Infrastructure and Construction, 2020.