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Evaluation of Three-Dimensional Shape Signatures for Automated Assessment of Post-Earthquake Building Damage

Autor(en):



Medium: Fachartikel
Sprache(n): Englisch
Veröffentlicht in: Earthquake Spectra, , n. 3, v. 29
Seite(n): 897-910
DOI: 10.1193/1.4000161
Abstrakt:

This paper proposes two new measures of three-dimensional shape signatures based on the slope and aspect of three-dimensional triangles, and evaluates the performance of three-dimensional shape signatures derived from distance, area, angle, volume, slope, and aspect for assessing post-earthquake building damage using simulated building models with flat, pent, gable and hip roofs. Three scenarios of post-earthquake building damage are tested using simulated light detection and ranging (LiDAR) points generated on the building roofs. Dissimilarity, sensitivity, and computational cost of the three-dimensional shape signatures are also discussed. The results show that a combination of three-dimensional shape signatures derived from slope and aspect can provide better detection of post-earthquake building damage compared with those derived from distance, area, angle, and volume. The paper demonstrates a promising method for rapid assessment of post-earthquake building damage using existing three-dimensional urban models and post-earthquake LiDAR data.

Structurae kann Ihnen derzeit diese Veröffentlichung nicht im Volltext zur Verfügung stellen. Der Volltext ist beim Verlag erhältlich über die DOI: 10.1193/1.4000161.
  • Über diese
    Datenseite
  • Reference-ID
    10672558
  • Veröffentlicht am:
    12.06.2022
  • Geändert am:
    12.06.2022
 
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