Monash University
Thesis_HMQ V8 - 2022.11.15.pdf (14.32 MB)

BIM for Underground Stations: Supporting Decision Making on Lifecycle Stages

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posted on 2022-11-23, 06:53 authored by MENGQI HUANG
Urban underground infrastructures are valuable assets and thus demanding effective planning, construction and maintenance. While enabling greater visibility and reliability into the processes and subsystems of underground construction, applications of BIM, machine learning and computer vision in underground construction represent different sets of opportunities and challenges from their use in above-ground construction. This body of work presents on a study of BIM for underground stations driven by desire for efficiency and interoperability to improve decision making for construction lifecycle. The findings qualitatively demonstrate the benefits and challenges of BIM in facilitating the digital transition of tunnelling and underground construction.


Campus location


Principal supervisor

Qianbing Zhang

Additional supervisor 1

Jelena Ninic

Additional supervisor 2

Jian Zhao

Year of Award


Department, School or Centre

Civil Engineering


Doctor of Philosophy

Degree Type



Faculty of Engineering