Building Information Modelling (BIM) has been increasingly adopted as a shared information resource and knowledge base for building and facility management. Property insurance companies can also leverage such information for pricing and underwriting. However, there are two major challenges for accessing as-built BIM data, including (1) the lack of as-built BIM models for many existing structures (e.g., old properties), and (2) deviations between BIM models and actual builds. Laser-scanning and photogrammetry methods have both been developed for as-built BIM reconstruction and enrichment, but the performance of such methods has been degraded due to the increasing complexity of buildings, such as occlusions and specular surfaces.
This research aims to address these challenges by developing a 2D-3D joint modelling and enrichment approach for as-built BIM based on the integration of laser-scanning and photogrammetric point cloud data. It aims to combine the advantages of both methods to generate a complete and accurate BIM model, and finally update this model according to the actual property states. This research mainly consists of the following four interconnected phases:
- Laser-scanning point cloud modelling
- Photogrammetry-based modelling
- Integration and registration for complete BIM model
- BIM model updating and enrichment
This PhD project will be one of six projects being pursued in a cross-disciplinary mini-College of Doctoral Training (CDT) running at Loughborough University from 2022 to 2026. This mini-CDT is part financed and supported by the WTW Research Network, the award-winning collaboration between academia, finance and research industries on the understanding and quantification of risk.
This industry collaboration builds on the earlier partnership between Loughborough University and WTW in the recently completed TECHNGI research project on technology and next-generation insurance services. A full description of the mini-CDT, of the individual PhD projects and of the support provided by the WTW Research Network can be found on TECHNGI website.
Supervisors
Primary supervisor: Dr Long Chen
Secondary supervisor: Dr Gerald Schaefer and Dr Craig Hancock
Entry requirements for United Kingdom
Students should have, or expect to achieve an MSc in Civil Engineering, Construction Engineering, Computer Science, or other relevant areas.
Students are expected to have knowledge or experience in one or more of the following fields: (1) BIM and digital twins, (2) Point-cloud processing and 3D modelling, (3) Photogrammetry or computer vision, (4) Risk assessment and management, and (5) other AI or data analytics techniques.
English language requirements
Applicants must meet the minimum English language requirements. Further details are available on the International website.
Find out more about research degree funding
How to apply
All applications should be made online. Under programme name, select 'School of Architecture, Building and Civil Engineering'. Please quote the advertised reference number ABCE23-LC-CDT in your application. See studentship assessment criteria.
Please upload with your application the following supporting documents:
- A curriculum vitae
- An 800-word personal statement explaining your interest in, and aptitude for, the topic of this research project, and the qualities you can bring to the project
- Copies of your transcripts/certificates, English Language certificate
- The details for two academic referees who will be contacted if you are invited to interview (ideally one from your Master's degree)
Interviews are due to take place in late February.
Apply now
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