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Optimization and Assessment of the Protective Shed of the Eastern Wu Tomb

Author

Listed:
  • Yonghui Li

    (School of Architecture, Southeast University, Nanjing 210096, China
    Key Laboratory of Urban and Architectural Heritage Conservation of Ministry of Education (Southeast University), Nanjing 210096, China)

  • Yumai Feng

    (School of Architecture, Southeast University, Nanjing 210096, China)

  • Zhenyi Kong

    (School of Architecture, Southeast University, Nanjing 210096, China)

  • Shuichi Hokoi

    (School of Architecture, Southeast University, Nanjing 210096, China)

Abstract

The Eastern Wu tomb in Shangfang Town, Nanjing City is a brick tomb of the Six Dynasties in China, which is very famous for its big scale and complex structure. After being excavated, biodeterioration occurred on the interior wall of the tomb chambers due to the fluctuation of environmental factors, which threatens the cultural value of this architectural heritage. Biodeterioration is highly related to the mild temperature and the high humidity in the tomb chamber and condensation on the wall surface. To reduce biodeterioration in the Eastern Wu tomb, environment monitoring was carried out and the effect of the current protective shed on the Eastern Wu tomb was examined. The hygrothermal transfer model of the protective shed was developed to evaluate the effects of the optimization of the protective shed for reducing the condensation on the wall surface. The results show that condensation on the wall surface of the site was reduced by 53% in a year after the functional space utilizing solar energy was added to the protective shed.

Suggested Citation

  • Yonghui Li & Yumai Feng & Zhenyi Kong & Shuichi Hokoi, 2020. "Optimization and Assessment of the Protective Shed of the Eastern Wu Tomb," Energies, MDPI, vol. 13(7), pages 1-17, April.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:7:p:1652-:d:340588
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    Cited by:

    1. Jan Kočí & Robert Černý, 2020. "Special Issue “Recent Developments in Building Physics”," Energies, MDPI, vol. 13(23), pages 1-3, December.

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