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Rapid Post-Disaster Evaluation of Building Damage Using Augmented Situational Visualization
This paper presents research being conducted at the University of Michigan to design and implement a new reconnaissance technology to rapidly evaluate damage to buildings in the aftermath of natural and human-perpetrated disasters (e.g. earthquakes, explosions). The technology being designed will allow on-site damage inspectors to retrieve previously stored building information, superimpose that information onto a real building in augmented reality, and evaluate damage, structural integrity, and safety by measuring and interpreting key differences between a baseline image and the real facility view. In addition, by using feedback from the actual building view, it will be possible to update structural analysis models and conduct detailed what-if simulations to explore how a building might collapse if critical structural members fail, or how the building's stability could best be enhanced by strengthening key structural members. All damage evaluation analyses will be conducted on-site, in real-time, and at a very low cost. This will enable a quantum leap over current damage evaluation practices that are significantly prolonged, expensive to conduct, and often inaccurate. The objectives of this paper are to introduce the overall framework being developed and to present details on the method of rapidly computing global building damage measures using augmented reality.
Rapid Post-Disaster Evaluation of Building Damage Using Augmented Situational Visualization
This paper presents research being conducted at the University of Michigan to design and implement a new reconnaissance technology to rapidly evaluate damage to buildings in the aftermath of natural and human-perpetrated disasters (e.g. earthquakes, explosions). The technology being designed will allow on-site damage inspectors to retrieve previously stored building information, superimpose that information onto a real building in augmented reality, and evaluate damage, structural integrity, and safety by measuring and interpreting key differences between a baseline image and the real facility view. In addition, by using feedback from the actual building view, it will be possible to update structural analysis models and conduct detailed what-if simulations to explore how a building might collapse if critical structural members fail, or how the building's stability could best be enhanced by strengthening key structural members. All damage evaluation analyses will be conducted on-site, in real-time, and at a very low cost. This will enable a quantum leap over current damage evaluation practices that are significantly prolonged, expensive to conduct, and often inaccurate. The objectives of this paper are to introduce the overall framework being developed and to present details on the method of rapidly computing global building damage measures using augmented reality.
Rapid Post-Disaster Evaluation of Building Damage Using Augmented Situational Visualization
Kamat, Vineet R. (author) / El-Tawil, Sherif (author)
Construction Research Congress 2005 ; 2005 ; San Diego, California, United States
2005-08-01
Conference paper
Electronic Resource
English
Rapid Post-Disaster Evaluation of Building Damage Using Augmented Situational Visualization
British Library Conference Proceedings | 2005
|Rapid Reconnaissance of Post-Disaster Building Damage Using Augmented Situational Visualization
British Library Conference Proceedings | 2006
|British Library Online Contents | 2011
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