Open AccessSignal processing techniques for structural health monitoring of super high-rise buildings
Author(s) -
Han Hu,
Mengxiong Tang,
Liejun Li,
Hesong Hu,
Shengfang Qiao
Publication year - 2019
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/330/2/022015
Subject(s) - damages , structural health monitoring , urbanization , forensic engineering , identification (biology) , high rise , computer science , risk analysis (engineering) , engineering , architectural engineering , civil engineering , business , structural engineering , economic growth , political science , botany , law , economics , biology
Along with the accelerating urbanization and the increasing population density, large numbers of super high-rise buildings have been built around the world in the past decades. Together with the successive construction of these buildings, the structural safety issues have received more and more attention from all walks of life. During the operation period of super high-rise buildings, the long-term effects of environmental degradation and abnormal loads usually lead to the occurrence of damages in local areas of the building structure, which after long time accumulation, would inevitably cause the degradation of structural performance, or even structural failures, severely threatening life and property to the country and people. Therefore, various structural damage identification techniques are applied to conduct structural health monitoring (SHM) for super high-rise buildings that under construction and completed in order to discover possible structural damages in time, and carry out safety assessments with disaster warnings for possible dangers and unfavorable conditions of the structures for determination of reasonable and economic maintenance periods. This paper gives a brief review on the existing signal processing techniques used for damage identification and SHM of super high-rise buildings, and further summarizes the future research trend of these techniques.