| id |
ecaade2024_147 |
| authors |
Wang, Xiaolu; Liu, Ying; Liu, Hanfang |
| year |
2024 |
| title |
Integration of Photogrammetric Survey Technique with Hygrothermal Assessment for Architectural Heritage Survey and Analysis: A case study of Dragon Pagoda in China |
| doi |
https://doi.org/10.52842/conf.ecaade.2024.2.229
|
| source |
Kontovourkis, O, Phocas, MC and Wurzer, G (eds.), Data-Driven Intelligence - Proceedings of the 42nd Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2024), Nicosia, 11-13 September 2024, Volume 2, pp. 229–237 |
| summary |
The integration of photogrammetric survey techniques with hygrothermal assessment offers a comprehensive approach to architectural heritage survey and analysis. This study focuses on the Dragon Pagoda in China, constructed during the Yuan Dynasty using limestone and traditional brick masonry. By leveraging photogrammetry, highly reliable 3D models capturing the spatial and textural characteristics of the Pagoda are generated. These models are then integrated into hygrothermal simulations using WUFI Plus to assess the building's structural health and resilience against weathering processes such as surface recession, thermal stress, and freeze-thaw cycles. The study demonstrates that climate parameters significantly impact the deterioration of stone building materials. The results from the hygrothermal simulations reveal detailed insights into the temperature and humidity transfer within the Pagoda's materials, enabling a thorough damage risk assessment. The innovative combination of photogrammetric data with hygrothermal assessments provides valuable insights for the long-term preservation and restoration of historical buildings, addressing the challenges posed by climate change and ensuring the durability of cultural heritage structures. |
| keywords |
Culture Heritage, Photogrammetry, Hygrothermal Assessment, Health Monitoring of Aged Buildings |
| series |
eCAADe |
| email |
liuhanfang123123@outlook.com |
| full text |
 file.pdf (2,525,464 bytes) |
| references |
Content-type: text/plain
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| last changed |
2024/11/17 22:05 |
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