Natural disasters such as earthquakes affect millions of people and can cause significant damages to buildings and other structures. Accurate and reliable information about buildings can greatly improve post-disaster responses, such as search and rescue (S & R), repair and recovery. Both S&R and recovery require rapid assessment of the damage to a large number of buildings and other structures as accurate information is needed to support decisions regarding S&R safety, habitability and repair of these buildings and structures. Given the development of Building Information Modelling (BIM), cloud storage, and various 3D imaging technologies such as LiDAR and photogrammetry, much of the needed information for S&R and recovery can be derived automatically or semi-automatically, stored and delivered using BIM tools. Furthermore, results of previous studies suggested that 3D imaging technologies offer great potential for saving time and cost for identifying concrete cracks and spalling in 3D point clouds. This webinar will discuss how 3D imaging (both LiDAR and photogrammetry) and BIM based approaches can be leveraged to advance post-disaster structural assessment practice, thus improve post-disaster responses.
Dr. Yelda Turkan, Assistant Professor of Construction Engineering and Management, Oregon State University
Dr. Yelda Turkan is an assistant professor of Construction Engineering and Management in the School of Civil and Construction Engineering at Oregon State University. She holds a doctoral degree in civil engineering from the University of Waterloo in Canada. Dr. Turkan’s research interests and experience are centered on the areas of remote sensing, computer vision, and machine learning applications for construction engineering and management, infrastructure asset management, and transportation. Dr. Turkan is the vice president of the International Association for Automation and Robotics for Construction (IAARC). She also serves as the chair of the ASCE Computing Division Education Committee.
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