PITA FY2014 Projects

Identification of Information Requirements for BIM and Approaches to Generate and Utilize BIM for Airport Facility Operations

PI:Burcu Akinci, Civil and Environmental Engineering

University:Carnegie Mellon University

Co-PI(s):Semiha Ergan, Civil and Environmental Engineering

Industry Affiliate(s):Honeywell International
Pittsburgh Airport Authority

Summary:Cost of not having accurate and complete as-is information about facilities is significant. $1.5 billion wasted annually because of unavailability of as-is information (Gallaher et al. 2004), and $4.8 billion is spent annually for information verification (Gallaher et al. 2004). Changes happen in facilities quite frequently, 30% of all space is renovated annually (Cotts 1999) and as-built drawings are out-of-date within 4 years (Cotts 1999). As-is facility information is utmost critical to have accurate judgments and make effective facility operations and maintenance decisions. This need for having reliable as-is information about a facility is further exacerbated in airport facilities within which they need to keep track of large number of components and corresponding information items to be able to abide a large number of regulatory maintenance requirements. Within the current practice, building information models have been widely used to represent the as-is conditions of facilities, especially for the projects associated with new construction. However, generation of as-is BIMs that reflect the as-is conditions for legacy buildings for which there has been no prior BIM is still a challenge. Also, lack of understanding of what should be represented in a BIM for FM purposes and what data sources provide the necessary information further challenges the generation of useful BIM for FM. The purpose of this project is to leverage the existing data sources that are generated during the normal business routine, and combine the data stored in these sources with the spatial data collected by laser scanners to develop as-is BIM for existing airport facilities. The expected results of this research project include information requirements to support airport facility operations and maintenance, specifically from code compliance perspective, and evaluate the viability of using laser scanners and existing data sources in generating a BIM that suits that purpose. This is a foundational work that will likely result in larger scale collaborative proposals with project participants to address various aspects of airport facility operations.