Abstract
The protection of historic buildings has drawn increasing attention and usually requires a sound nondestructive testing (NDT) technique. This paper first describes the significance of and the status on the protection of historic structures followed by a summary of common damage and repair measures for such structures. Lastly, the principles, characteristics, and applications of NDT techniques for historic wooden and masonry structures, including ultra-CT testing, stress wave testing, micro-drilling resistance meter, radar detection, and X-ray diffraction, are described and compared. This study concludes by providing a guide for studying the structural damage of historic structures and for the selection of a detection technique.
Funding statement: This research was funded by the National Natural Science Foundation of China (52078418), the National Post-Doctoral Science Foundation (No. 2019M653645), Project of strategic planning department of Ministry of science and technology (HXJC2019FG/072HZ), Science and technology project of Yulin (CityCXY-2020-046), Sinohydro Bureau 11 Co., Ltd (20201225), the Central University’s Special Research Fund Interdisciplinary Project (xjj2017175), and the Research Fund Project of Xi’an JiaoTong University (1191320036).
About the authors
Dong Luo, born in 1983, is an Associate Professor in the Department of Human Settlements and Civil Engineering at Xi’an Jiaotong University, Xi’an, Shaanxi, 710048, China. Her study focuses on fiber optic sensing health monitoring, traffic infrastructure monitoring and management, key technology of cultural relic protection, structural reliability assessment and smart sensing and smart cities.
Shangwei Wang, born in 1997, is a first-year Master Student at the School of Human Settlements and Civil Engineering at Xi’an Jiaotong University, Xi’an, Shaanxi, 710048, China. His study focuses on the advanced detection of loess landslide.
Xiaohong Du, born in 1996, is a first-year Master Student at the School of Human Settlements and Civil Engineering at Xi’an Jiaotong University, Xi’an, Shaanxi, 710048, China. His study focuses on the advanced detection of loess landslide.
Peng Zhao, born in 1984, is a first-year Master Student at the School of Human Settlements and Civil Engineering at Xi’a n Jiaotong University, Xi’an, Shaanxi, 710048, China. His study focuses on the wooden structure of ancient buildings in Shanxi, China.
Tian Lu, born in 1996, is a second-year Graduate Master at the School of Human Settlements and Civil Engineering at Xi’an Jiaotong University, Xi’an, Shaanxi, 710048, China. Her study focuses on bridge reliability, machine learning algorithms in civil engineering and structural health monitoring.
Hangting Yang, born in 1996, is a third-year graduate student at the School of information Technology and Electrical Engineering, The University of Queensland, Old., 4072, Australia. His study focuses on radar fault prediction technology based on machine learning.
Prof. Dr. Y. Frank Chen, born in 1956, is currently Tenured Professor at Pennsylvania State University, Middletown, USA. He obtained his PhD degree from the University of Minnesota, Minneapolis, USA in 1988. He specializes in dynamic soil-structure interaction, computational methods, bridge engineering, foundations, dynamic-load resistant designs, geo-environmental engineering, and construction materials.
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