Industry Foundation Classes (IFC)-based Method for Bridge Defect Information Representation and Analysis
| dc.contributor.author | Xu, Shuyuan | |
| dc.contributor.supervisor | Xiangyu Wang | en_US |
| dc.contributor.supervisor | Jun Li | en_US |
| dc.date.accessioned | 2022-02-07T07:58:48Z | |
| dc.date.available | 2022-02-07T07:58:48Z | |
| dc.date.issued | 2021 | en_US |
| dc.identifier.uri | http://hdl.handle.net/20.500.11937/87645 | |
| dc.description.abstract |
Visual inspection is a common approach to ensure the serviceability and reliability of bridges. To facilitate its automation, this research proposed a method for the identification, representation, and analysis of inspection-related information within a dynamic bridge BIM environment, using IFC standards. The case study results indicate that the bridge BIM models integrated with defect information supports seamless model exchange across different vendors, information retrieval, and efficient transfer to models for condition assessment and structural analysis. | en_US |
| dc.publisher | Curtin University | en_US |
| dc.title | Industry Foundation Classes (IFC)-based Method for Bridge Defect Information Representation and Analysis | en_US |
| dc.type | Thesis | en_US |
| dcterms.educationLevel | PhD | en_US |
| curtin.department | School of Design and the Built Environment | en_US |
| curtin.accessStatus | Open access | en_US |
| curtin.faculty | Humanities | en_US |
| curtin.contributor.orcid | Xu, Shuyuan [0000-0001-6787-259X] | en_US |