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A Parameter-Driven Method for Modeling Bridge Defects through IFC

Shuyuan Xu, Jun Wang, Xiangyu Wang, Peng Wu, Wenchi Shou, Chao Liu

2022Journal of Computing in Civil Engineering25 citationsDOIOpen Access PDF

Abstract

Bridges experience regular inspections from transport agencies/authorities periodically. However, current approaches for the storage and visualization of inspection-related data are often restricted to spreadsheets and inspection reports and cannot sufficiently support open building information modeling (BIM) processes. This research proposes an industry foundation classes (IFC)-based method to document and represent inspection-related information in bridge BIM models. Specifically, the geometry of defects, including spatial placement and shape representation, was modeled parametrically. Interrelationships between defects and other IFC entities (e.g., bridge elements, root causes, and maintenance actions) were represented. The proposed method was validated on a concrete highway bridge, with two scenarios designed to illustrate its capability to support cause diagnosis and maintenance decision making. The interoperability of the proposed method across different BIM tools was evaluated as well. This work demonstrates the parametric-driven representation of defect information based on the latest IFC, facilitating an integrated BIM environment for the lifecycle management of civil assets.

Topics & Concepts

Bridge (graph theory)Building information modelingInteroperabilityVisualizationRepresentation (politics)Information modelConstruction engineeringEngineeringParametric statisticsComputer scienceSystems engineeringSoftware engineeringData miningOperating systemInternal medicinePolitical scienceStatisticsLawMedicineCompatibility (geochemistry)MathematicsPoliticsChemical engineeringInfrastructure Maintenance and MonitoringBIM and Construction Integration3D Surveying and Cultural Heritage
A Parameter-Driven Method for Modeling Bridge Defects through IFC | Litcius