BIM for underground stations: Supporting decision making on lifecycle stages

Huang, Mengqi (2022) BIM for underground stations: Supporting decision making on lifecycle stages. PhD thesis, Monash University, Australia.

Abstract

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.

Item Type: Thesis (Doctoral)
Thesis advisor: Zhang, Qianbing; Ninic, Jelena and Zhao, Jian
Uncontrolled Keywords: building information modelling; multiple level-of-details; underground construction; interoperability; geotechnical modelling; sustainability analysis
Index terms: tunnelling, interoperability, underground construction, modelling, lifecycle, underground infrastructure, efficiency, building information modelling, machine learning, decision-making, computer vision
Subjects: analytical methods, computer vision, project delivery, artificial intelligence, civil engineering, performance management, geotechnical engineering, decision analysis, information systems, systems and processes, infrastructure and transport systems
Topics: Quality Management, Risk Management, Engineering Principles, Project Management, Digital Applications
Descriptive scope: 2 PC

N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here