ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2/W2, 341-348, 2017
https://doi.org/10.5194/isprs-annals-IV-2-W2-341-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
 
17 Aug 2017
RESEARCH ON NON-DESTRUCTIVE TESTING TECHNOLOGY IN CONSERVATION REPAIR PROJECT OF ANCESTRAL TEMPLE IN MUKDEN PALACE
J. Yang and M. Fu Department of Architecture, Tianjin University, No.92 Weijin Street, Nankai District, Tianjin, China
Keywords: wooden structure, non-destructive testing, ground penetrating radar, stress wave, resistograph Abstract. Due to the use of wood and other non-permanent materials, traditional Chinese architecture is one of the most fragile constructions in various heritage objects today. With the increasing emphasis on the protection of cultural relics, the repair project of wooden structure has become more and more important. There are various kinds of destructions, which pose a hidden danger to the overall safety of the ancient buildings, caused not only by time and nature, but also by improper repairs in history or nowadays. Today, the use of digital technology is a basic requirement in the conservation of cultural heritage. Detection technology, especially non-destructive testing technology, could provide more accurate records in capturing detailed physical characteristics of structures such as geometric deformation and invisible damage, as well as prevent a man-made destruction in the process of repair project. This paper aims to interpret with a typical example, Ancestral Temple in Mukden Palace, along with a discussion of how to use the non-destructive testing technology with ground penetrating radar, stress wave, resistograph and so on, in addition to find an appropriate protection method in repair project of traditional Chinese wooden architecture.
Conference paper (PDF, 2671 KB)


Citation: Yang, J. and Fu, M.: RESEARCH ON NON-DESTRUCTIVE TESTING TECHNOLOGY IN CONSERVATION REPAIR PROJECT OF ANCESTRAL TEMPLE IN MUKDEN PALACE, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2/W2, 341-348, https://doi.org/10.5194/isprs-annals-IV-2-W2-341-2017, 2017.

BibTeX EndNote Reference Manager XML