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Post-Earthquake Building Evaluation Using UAVs: A BIM-Based Digital Twin Framework.

Nathaniel M Levine¹, Billie F Spencer¹

¹Department of Civil and Environmental Engineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA.

Sensors (Basel, Switzerland)

|February 15, 2022

Summary

This summary is machine-generated.

This study introduces a digital twin framework using drone imagery and Building Information Modeling (BIM) to assess earthquake-damaged buildings. It links component damage to structural performance for improved post-earthquake safety evaluations.

Keywords:

automated inspection building information modeling computer vision digital twin post-earthquake evaluation unmanned aerial vehicles

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Area of Science:

Structural Engineering
Computer Vision
Digital Twins

Background:

Post-earthquake building safety assessment is complex, requiring evaluation of component damage within the global structural context.
Existing methods often lack integration between visual damage detection and structural system performance analysis.

Purpose of the Study:

To propose a digital twin framework for comprehensive post-earthquake building safety evaluation.
To integrate unmanned aerial vehicle (UAV) imagery, component identification, and Building Information Modeling (BIM) for damage assessment.

Main Methods:

Utilizing BIM to guide optimal image selection for building components.
Employing GrabCut-based segmentation to assign image pixels to specific BIM components.
Implementing 3D point cloud change detection for nonstructural damage identification and association with BIM components.

Main Results:

Demonstrated BIM-guided image selection and component identification on a reinforced concrete frame building.
Successfully identified nonstructural damage using 3D point cloud change detection in a synthetic environment.
Tied observed damage to specific BIM components, enabling context-aware performance evaluation.

Conclusions:

The proposed digital twin framework effectively integrates UAV imagery and BIM for detailed post-earthquake building damage assessment.
Linking component-level damage to structural analysis enhances the prediction of building safety after seismic events.