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Information modeling of earthquake-damaged reinforced concrete structures
Affiliation:1. Virtual Construction Laboratory, National Building Research Institute, Technion – Israel Institute of Technology, Haifa 32000, Israel;2. Head Dept. of Structural Engineering and Construction Management, Technion – Israel Institute of Technology, Haifa 32000, Israel;1. Department of Industrial & System Engineering, KAIST, Daejeon 305-701, Republic of Korea;2. Department of Industrial & Management Engineering, DAEGU University, Daegu 712-714, Republic of Korea;1. Department of Building, Civil & Environmental Engineering, Concordia University, 1515 Ste-Catherine Street West, Montréal, Quebec, H3G 2W1, Canada;2. Concordia Institute for Information Systems Engineering, Concordia University, 1515 Ste-Catherine Street West, Montréal, Quebec H3G 2W1, Canada;1. Strome College of Business, Old Dominion University, Norfolk, VA 23529, USA;2. School of Transportation, Southeast University, 2 Si Pai Lou, Nanjing 210096, China;3. Griffith School of Engineering, Gold Coast Campus, Griffith University, QLD 4222, Australia
Abstract:Accurate and reliable information about buildings can greatly improve post-earthquake responses, such as search and rescue, repair and recovery. Building Information Modeling (BIM), rapid scanning and other assessment technologies offer the opportunity not only to retrieve as-built information but also to compile as-damaged models. This research proposes an information model to facilitate the data flow for post-earthquake assessment of reinforced concrete structures. The schema development was based on typical damage modes and the existing Industry Foundation Class (IFC) schema. Two examples of damaged structures from recent earthquake events, compiled using an experimental damage modeling software, illustrate the use of the data model. The model introduces two new classes, one to represent segments of building elements and the other to model the relationships between segments and cracks. A unique feature is the ability to model the process of damage with a binary tree structure. Methods for exporting as-damaged instance models using IFC are also discussed.
Keywords:IFC  Building information modeling  Damage assessment  Post-earthquake responses
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